Starling is the UK's first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time. Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. Responsibilities: You will be part of a team delivering data driven solutions and insights to improve the speed, efficiency, and quality of decision-making Work proactively with technical and non-technical teams to deliver insights to support the wider business Build, test and deploy machine learning models which will improve and/or automate decision making Provide insightful analytics across the bank to assist with decision making Engage with Engineering teams to ensure we capture data points that are relevant and useful for insights and modelling We're open-minded when it comes to hiring and we care more about aptitude and attitude than specific experience or qualifications. We think the ideal candidate will encompass most of the following: Demonstrable industry experience Data Science/Machine Learning in one or more of: Financial Crime Anti-money laundering Transaction monitoring Anomaly detection Excellent skills in Python and SQL Experience with libraries such as Scikit-learn, Tensorflow, Pytorch Strong data wrangling skills for merging, cleaning and sampling data Strong data visualisation and communication skills are essential Understanding of the software development life cycle and experience using version control tools such as git Demonstrable experience deploying machine learning solutions in a production environment Desirables: Experience with AWS/GCP Desire to build explainable ML models (using techniques such as SHAP ) Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 30 mins with one of the team Stage 2 - Take home challenge Stage 3 - 90 mins technical interview with two team members Stage 4 - 45 min final with an executive and a member of the people team Benefits: 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling Bank will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
Feb 10, 2025
Full time
Starling is the UK's first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time. Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. Responsibilities: You will be part of a team delivering data driven solutions and insights to improve the speed, efficiency, and quality of decision-making Work proactively with technical and non-technical teams to deliver insights to support the wider business Build, test and deploy machine learning models which will improve and/or automate decision making Provide insightful analytics across the bank to assist with decision making Engage with Engineering teams to ensure we capture data points that are relevant and useful for insights and modelling We're open-minded when it comes to hiring and we care more about aptitude and attitude than specific experience or qualifications. We think the ideal candidate will encompass most of the following: Demonstrable industry experience Data Science/Machine Learning in one or more of: Financial Crime Anti-money laundering Transaction monitoring Anomaly detection Excellent skills in Python and SQL Experience with libraries such as Scikit-learn, Tensorflow, Pytorch Strong data wrangling skills for merging, cleaning and sampling data Strong data visualisation and communication skills are essential Understanding of the software development life cycle and experience using version control tools such as git Demonstrable experience deploying machine learning solutions in a production environment Desirables: Experience with AWS/GCP Desire to build explainable ML models (using techniques such as SHAP ) Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 30 mins with one of the team Stage 2 - Take home challenge Stage 3 - 90 mins technical interview with two team members Stage 4 - 45 min final with an executive and a member of the people team Benefits: 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling Bank will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
Starling is the UK's first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time. Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. Responsibilities: You will be part of a team delivering data driven solutions and insights to improve the speed, efficiency, and quality of decision-making Work proactively with technical and non-technical teams to deliver insights to support the wider business Build, test and deploy machine learning models which will improve and/or automate decision making Provide insightful analytics across the bank to assist with decision making Engage with Engineering teams to ensure we capture data points that are relevant and useful for insights and modelling We're open-minded when it comes to hiring and we care more about aptitude and attitude than specific experience or qualifications. We think the ideal candidate will encompass most of the following: Demonstrable industry experience Data Science/Machine Learning in one or more of: Financial Crime Anti-money laundering Transaction monitoring Anomaly detection Excellent skills in Python and SQL Experience with libraries such as Scikit-learn, Tensorflow, Pytorch Strong data wrangling skills for merging, cleaning and sampling data Strong data visualisation and communication skills are essential Understanding of the software development life cycle and experience using version control tools such as git Demonstrable experience deploying machine learning solutions in a production environment Desirables: Experience with AWS/GCP Desire to build explainable ML models (using techniques such as SHAP ) Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 30 mins with one of the team Stage 2 - Take home challenge Stage 3 - 90 mins technical interview with two team members Stage 4 - 45 min final with an executive and a member of the people team Benefits: 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling Bank will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
Feb 10, 2025
Full time
Starling is the UK's first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time. Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. Responsibilities: You will be part of a team delivering data driven solutions and insights to improve the speed, efficiency, and quality of decision-making Work proactively with technical and non-technical teams to deliver insights to support the wider business Build, test and deploy machine learning models which will improve and/or automate decision making Provide insightful analytics across the bank to assist with decision making Engage with Engineering teams to ensure we capture data points that are relevant and useful for insights and modelling We're open-minded when it comes to hiring and we care more about aptitude and attitude than specific experience or qualifications. We think the ideal candidate will encompass most of the following: Demonstrable industry experience Data Science/Machine Learning in one or more of: Financial Crime Anti-money laundering Transaction monitoring Anomaly detection Excellent skills in Python and SQL Experience with libraries such as Scikit-learn, Tensorflow, Pytorch Strong data wrangling skills for merging, cleaning and sampling data Strong data visualisation and communication skills are essential Understanding of the software development life cycle and experience using version control tools such as git Demonstrable experience deploying machine learning solutions in a production environment Desirables: Experience with AWS/GCP Desire to build explainable ML models (using techniques such as SHAP ) Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 30 mins with one of the team Stage 2 - Take home challenge Stage 3 - 90 mins technical interview with two team members Stage 4 - 45 min final with an executive and a member of the people team Benefits: 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling Bank will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
Starling is the UK's first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time. Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. Responsibilities: You will be part of a team delivering data driven solutions and insights to improve the speed, efficiency, and quality of decision-making Work proactively with technical and non-technical teams to deliver insights to support the wider business Build, test and deploy machine learning models which will improve and/or automate decision making Provide insightful analytics across the bank to assist with decision making Engage with Engineering teams to ensure we capture data points that are relevant and useful for insights and modelling We're open-minded when it comes to hiring and we care more about aptitude and attitude than specific experience or qualifications. We think the ideal candidate will encompass most of the following: Demonstrable industry experience Data Science/Machine Learning in one or more of: Financial Crime Anti-money laundering Transaction monitoring Anomaly detection Excellent skills in Python and SQL Experience with libraries such as Scikit-learn, Tensorflow, Pytorch Strong data wrangling skills for merging, cleaning and sampling data Strong data visualisation and communication skills are essential Understanding of the software development life cycle and experience using version control tools such as git Demonstrable experience deploying machine learning solutions in a production environment Desirables: Experience with AWS/GCP Desire to build explainable ML models (using techniques such as SHAP ) Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 30 mins with one of the team Stage 2 - Take home challenge Stage 3 - 90 mins technical interview with two team members Stage 4 - 45 min final with an executive and a member of the people team Benefits: 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling Bank will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
Feb 10, 2025
Full time
Starling is the UK's first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time. Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. Responsibilities: You will be part of a team delivering data driven solutions and insights to improve the speed, efficiency, and quality of decision-making Work proactively with technical and non-technical teams to deliver insights to support the wider business Build, test and deploy machine learning models which will improve and/or automate decision making Provide insightful analytics across the bank to assist with decision making Engage with Engineering teams to ensure we capture data points that are relevant and useful for insights and modelling We're open-minded when it comes to hiring and we care more about aptitude and attitude than specific experience or qualifications. We think the ideal candidate will encompass most of the following: Demonstrable industry experience Data Science/Machine Learning in one or more of: Financial Crime Anti-money laundering Transaction monitoring Anomaly detection Excellent skills in Python and SQL Experience with libraries such as Scikit-learn, Tensorflow, Pytorch Strong data wrangling skills for merging, cleaning and sampling data Strong data visualisation and communication skills are essential Understanding of the software development life cycle and experience using version control tools such as git Demonstrable experience deploying machine learning solutions in a production environment Desirables: Experience with AWS/GCP Desire to build explainable ML models (using techniques such as SHAP ) Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 30 mins with one of the team Stage 2 - Take home challenge Stage 3 - 90 mins technical interview with two team members Stage 4 - 45 min final with an executive and a member of the people team Benefits: 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling Bank will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
Starling is the UK's first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time. Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. Responsibilities: You will be part of a team delivering data driven solutions and insights to improve the speed, efficiency, and quality of decision-making Work proactively with technical and non-technical teams to deliver insights to support the wider business Build, test and deploy machine learning models which will improve and/or automate decision making Provide insightful analytics across the bank to assist with decision making Engage with Engineering teams to ensure we capture data points that are relevant and useful for insights and modelling We're open-minded when it comes to hiring and we care more about aptitude and attitude than specific experience or qualifications. We think the ideal candidate will encompass most of the following: Demonstrable industry experience Data Science/Machine Learning in one or more of: Financial Crime Anti-money laundering Transaction monitoring Anomaly detection Excellent skills in Python and SQL Experience with libraries such as Scikit-learn, Tensorflow, Pytorch Strong data wrangling skills for merging, cleaning and sampling data Strong data visualisation and communication skills are essential Understanding of the software development life cycle and experience using version control tools such as git Demonstrable experience deploying machine learning solutions in a production environment Desirables: Experience with AWS/GCP Desire to build explainable ML models (using techniques such as SHAP ) Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 30 mins with one of the team Stage 2 - Take home challenge Stage 3 - 90 mins technical interview with two team members Stage 4 - 45 min final with an executive and a member of the people team Benefits: 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling Bank will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
Feb 10, 2025
Full time
Starling is the UK's first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time. Starling is the UK's first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. We're a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We're a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. Responsibilities: You will be part of a team delivering data driven solutions and insights to improve the speed, efficiency, and quality of decision-making Work proactively with technical and non-technical teams to deliver insights to support the wider business Build, test and deploy machine learning models which will improve and/or automate decision making Provide insightful analytics across the bank to assist with decision making Engage with Engineering teams to ensure we capture data points that are relevant and useful for insights and modelling We're open-minded when it comes to hiring and we care more about aptitude and attitude than specific experience or qualifications. We think the ideal candidate will encompass most of the following: Demonstrable industry experience Data Science/Machine Learning in one or more of: Financial Crime Anti-money laundering Transaction monitoring Anomaly detection Excellent skills in Python and SQL Experience with libraries such as Scikit-learn, Tensorflow, Pytorch Strong data wrangling skills for merging, cleaning and sampling data Strong data visualisation and communication skills are essential Understanding of the software development life cycle and experience using version control tools such as git Demonstrable experience deploying machine learning solutions in a production environment Desirables: Experience with AWS/GCP Desire to build explainable ML models (using techniques such as SHAP ) Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Stage 1 - 30 mins with one of the team Stage 2 - Take home challenge Stage 3 - 90 mins technical interview with two team members Stage 4 - 45 min final with an executive and a member of the people team Benefits: 25 days holiday (plus take your public holiday allowance whenever works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling Bank is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling Bank are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling Bank will collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we will process, where we will process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
You will need to login before you can apply for a job. ML Engineer, AWS Generative AI Innovation Center Sector: Engineering, Technology Role: Professional Contract Type: Permanent Hours: Full Time DESCRIPTION The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI. As an ML Engineer, you'll partner with technology and business teams to build solutions that surprise and delight our customers. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. We're looking for Engineers and Architects capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities Collaborate with ML scientists and engineers to research, design and develop cutting-edge generative AI algorithms to address real-world challenges. Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership. Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI. Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on AWS platform. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. About the team Generative AI Innovation Center is a program that pairs you with AWS science and strategy experts with deep experience in AI/ML and generative AI techniques to: Imagine new applications of generative AI to address your needs. Identify new use cases based on business value. Integrate Generative AI into your existing applications and workflows. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS Bachelor's degree in computer science or equivalent. Experience in professional, non-internship software development. Experience coding in Python, R, Matlab, Java or other modern programming languages. Several years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing, model containerization, CI/CD pipelines, API development, model training and productionizing ML models. Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems. PREFERRED QUALIFICATIONS Masters or PhD degree in computer science, or related technical, math, or scientific field. Proven knowledge of deep learning and experience using Python and frameworks such as Pytorch, TensorFlow. Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models. Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB and EC2, hands-on experience of building ML solutions on AWS. Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Company Learn more about this company Visit this company's hub to learn about their values, culture, and latest jobs. Create a job alert and receive personalised job recommendations straight to your inbox.
Feb 10, 2025
Full time
You will need to login before you can apply for a job. ML Engineer, AWS Generative AI Innovation Center Sector: Engineering, Technology Role: Professional Contract Type: Permanent Hours: Full Time DESCRIPTION The Generative AI Innovation Center at AWS helps AWS customers accelerate the use of Generative AI and realize transformational business opportunities. This is a cross-functional team of ML scientists, engineers, architects, and strategists working step-by-step with customers to build bespoke solutions that harness the power of generative AI. As an ML Engineer, you'll partner with technology and business teams to build solutions that surprise and delight our customers. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. We're looking for Engineers and Architects capable of using generative AI and other ML techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities Collaborate with ML scientists and engineers to research, design and develop cutting-edge generative AI algorithms to address real-world challenges. Work across customer engagement to understand what adoption patterns for generative AI are working and rapidly share them across teams and leadership. Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths for generative AI. Create and deliver reusable technical assets that help to accelerate the adoption of generative AI on AWS platform. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders. Provide customer and market feedback to Product and Engineering teams to help define product direction. About the team Generative AI Innovation Center is a program that pairs you with AWS science and strategy experts with deep experience in AI/ML and generative AI techniques to: Imagine new applications of generative AI to address your needs. Identify new use cases based on business value. Integrate Generative AI into your existing applications and workflows. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS Bachelor's degree in computer science or equivalent. Experience in professional, non-internship software development. Experience coding in Python, R, Matlab, Java or other modern programming languages. Several years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing, model containerization, CI/CD pipelines, API development, model training and productionizing ML models. Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems. PREFERRED QUALIFICATIONS Masters or PhD degree in computer science, or related technical, math, or scientific field. Proven knowledge of deep learning and experience using Python and frameworks such as Pytorch, TensorFlow. Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models. Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB and EC2, hands-on experience of building ML solutions on AWS. Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Company Learn more about this company Visit this company's hub to learn about their values, culture, and latest jobs. Create a job alert and receive personalised job recommendations straight to your inbox.
Your work will change lives. Including your own. The Impact You'll Make Recursion is a pioneering TechBio company that leverages AI and machine learning to decode biology and accelerate drug discovery, with data as a key differentiator and value driver. We are seeking a Senior AI/HPC Storage Engineer to join our innovative team. In this role, you will be instrumental in designing, implementing, and managing advanced AI/HPC data systems that propel our groundbreaking drug discovery research. You will leverage your expertise in infrastructure solutions for Science to ensure the performance, scalability, and reliability of our storage systems. Your work will involve creating and maintaining robust infrastructure, automating processes, and optimizing storage systems to handle massive amounts of data and complex computational workloads, while ensuring high data integrity. In this role: You will be responsible for designing, implementing, testing, maintaining, and optimizing our data storage infrastructure and services, utilizing an Infrastructure as Code approach across both on-premises and public cloud environments. Your leadership and technical expertise will be key in driving innovation across all storage tiers within our AI/HPC infrastructure, ensuring we deliver a scalable and effective data platform to support our mission. By developing scripts and workflows, you will automate and verify storage infrastructure provisioning and dynamic reconfiguration, enhancing support for our AI/HPC storage environments. Your meticulous attention to detail will be crucial for performance analysis, benchmarking, troubleshooting and fine-tuning of our data storage systems and services, while efficiently managing user tickets. Your role also includes researching, deploying, and optimizing accessibility, performance, security, and data lifecycle management policies. Regular assessments of our storage platforms' health and operational performance against established metrics will be part of your responsibilities, with a focus on meeting and exceeding operational service level objectives. Finally, as a lead in technical communication and customer collaboration, your efforts will ensure high levels of customer satisfaction. This role presents a unique opportunity to make a meaningful impact within our organization and the broader scientific community. Location: This position is based at our headquarters in Salt Lake City, Utah, or in our office in Toronto, Canada. Please note that we are a hybrid environment and ask that employees spend 50% of their time in the office. The Team You'll Join As a Senior AI/HPC Storage Engineer, you will be a part of our dedicated HPC Engineering and Operations team, reporting directly to the Director. This dynamic team includes 3 experienced Engineers, and with the addition of this role, you'll be part of an empowered, cross-functional unit. Our HPC team works in a fast-paced, collaborative environment, handling a broad spectrum of Scientific Infrastructure projects. These range from developing advanced, scalable infrastructure to deploying and managing AI/HPC resources and automating operational processes. The team also plays a crucial role in the curation of our vast data platform, which caters to a diverse set of professionals, including biologists, data scientists, and automation engineers. We're home to BioHive, the industry's most powerful supercomputer and our HPC team is constantly pushing the boundaries in the field of supercomputing in the TechBio industry. As part of this team, you will collaborate on projects that streamline and optimize our machine learning workflows and scientific computing tasks, driving efficient and transformative solutions. This is a unique opportunity to join a team that thrives on innovation, collaboration, and inclusivity in a role that is pivotal to our mission. The Experience You'll Need A minimum of 7 years of experience in managing data storage infrastructure, preferably within global BioPharma organizations. In-depth knowledge of distributed/parallel file systems (IBM Storage Scale GPFS), multi-tier file (NAS), hybrid object storage (MinIO), and storage access and data transfer networking protocols. Experience with RDMA-capable high-speed networking. Extensive experience designing, deploying, testing, supporting, and troubleshooting complex Linux-based computing and data storage environments. Python programming and Bash scripting experience. In-depth hands-on experience in provisioning, configuring, and managing infrastructure through modern CI/CD techniques, GitOps, Infrastructure as Code (IaC) and cloud automation principles. Solid experience with software-defined infrastructure and cloud computing platforms, including Kubernetes, GCP, AWS, and others. Practical knowledge of resource management and job scheduling using Slurm and Kubernetes. Knowledge of container technologies like Apptainer and Docker. Strong verbal and written communication skills for effective documentation and collaboration. Prior experience mentoring, guiding, and cross-training team members. How You'll be Supported At Recursion, we're working to solve some of the most meaningful challenges in human health. During onboarding, you'll be introduced to the Recursion Mindset and Recursion OS through a blend of in-person and online resources designed to help you quickly embrace our culture. You'll be paired with an onboarding "Trail Guide" to support you in your first months and connect with colleagues, both in person and remotely, who will guide you through the traditional and Recursion-specific aspects of your role. Additionally, you'll join onboarding events, like Decoding Recursion, to deepen your understanding and integration into the team. The Values That We Hope You Share: We Care: We care about our drug candidates, our Recursionauts, their families, each other, our communities, the patients we aim to serve and their loved ones. We also care about our work. We Learn: Learning from the diverse perspectives of our fellow Recursionauts, and from failure, is an essential part of how we make progress. We Deliver: We are unapologetic that our expectations for delivery are extraordinarily high. There is urgency to our existence: we sprint at maximum engagement, making time and space to recover. Act Boldly with Integrity: No company changes the world or reinvents an industry without being bold. It must be balanced; not by timidity, but by doing the right thing even when no one is looking. We are One Recursion: We operate with a 'company first, team second' mentality. Our success comes from working as one interdisciplinary team. More About Recursion Recursion is a clinical stage TechBio company leading the space by decoding biology to industrialize drug discovery. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously expands one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in London, Toronto, Montreal and the San Francisco Bay Area. Learn more at , or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer that values diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation.
Feb 10, 2025
Full time
Your work will change lives. Including your own. The Impact You'll Make Recursion is a pioneering TechBio company that leverages AI and machine learning to decode biology and accelerate drug discovery, with data as a key differentiator and value driver. We are seeking a Senior AI/HPC Storage Engineer to join our innovative team. In this role, you will be instrumental in designing, implementing, and managing advanced AI/HPC data systems that propel our groundbreaking drug discovery research. You will leverage your expertise in infrastructure solutions for Science to ensure the performance, scalability, and reliability of our storage systems. Your work will involve creating and maintaining robust infrastructure, automating processes, and optimizing storage systems to handle massive amounts of data and complex computational workloads, while ensuring high data integrity. In this role: You will be responsible for designing, implementing, testing, maintaining, and optimizing our data storage infrastructure and services, utilizing an Infrastructure as Code approach across both on-premises and public cloud environments. Your leadership and technical expertise will be key in driving innovation across all storage tiers within our AI/HPC infrastructure, ensuring we deliver a scalable and effective data platform to support our mission. By developing scripts and workflows, you will automate and verify storage infrastructure provisioning and dynamic reconfiguration, enhancing support for our AI/HPC storage environments. Your meticulous attention to detail will be crucial for performance analysis, benchmarking, troubleshooting and fine-tuning of our data storage systems and services, while efficiently managing user tickets. Your role also includes researching, deploying, and optimizing accessibility, performance, security, and data lifecycle management policies. Regular assessments of our storage platforms' health and operational performance against established metrics will be part of your responsibilities, with a focus on meeting and exceeding operational service level objectives. Finally, as a lead in technical communication and customer collaboration, your efforts will ensure high levels of customer satisfaction. This role presents a unique opportunity to make a meaningful impact within our organization and the broader scientific community. Location: This position is based at our headquarters in Salt Lake City, Utah, or in our office in Toronto, Canada. Please note that we are a hybrid environment and ask that employees spend 50% of their time in the office. The Team You'll Join As a Senior AI/HPC Storage Engineer, you will be a part of our dedicated HPC Engineering and Operations team, reporting directly to the Director. This dynamic team includes 3 experienced Engineers, and with the addition of this role, you'll be part of an empowered, cross-functional unit. Our HPC team works in a fast-paced, collaborative environment, handling a broad spectrum of Scientific Infrastructure projects. These range from developing advanced, scalable infrastructure to deploying and managing AI/HPC resources and automating operational processes. The team also plays a crucial role in the curation of our vast data platform, which caters to a diverse set of professionals, including biologists, data scientists, and automation engineers. We're home to BioHive, the industry's most powerful supercomputer and our HPC team is constantly pushing the boundaries in the field of supercomputing in the TechBio industry. As part of this team, you will collaborate on projects that streamline and optimize our machine learning workflows and scientific computing tasks, driving efficient and transformative solutions. This is a unique opportunity to join a team that thrives on innovation, collaboration, and inclusivity in a role that is pivotal to our mission. The Experience You'll Need A minimum of 7 years of experience in managing data storage infrastructure, preferably within global BioPharma organizations. In-depth knowledge of distributed/parallel file systems (IBM Storage Scale GPFS), multi-tier file (NAS), hybrid object storage (MinIO), and storage access and data transfer networking protocols. Experience with RDMA-capable high-speed networking. Extensive experience designing, deploying, testing, supporting, and troubleshooting complex Linux-based computing and data storage environments. Python programming and Bash scripting experience. In-depth hands-on experience in provisioning, configuring, and managing infrastructure through modern CI/CD techniques, GitOps, Infrastructure as Code (IaC) and cloud automation principles. Solid experience with software-defined infrastructure and cloud computing platforms, including Kubernetes, GCP, AWS, and others. Practical knowledge of resource management and job scheduling using Slurm and Kubernetes. Knowledge of container technologies like Apptainer and Docker. Strong verbal and written communication skills for effective documentation and collaboration. Prior experience mentoring, guiding, and cross-training team members. How You'll be Supported At Recursion, we're working to solve some of the most meaningful challenges in human health. During onboarding, you'll be introduced to the Recursion Mindset and Recursion OS through a blend of in-person and online resources designed to help you quickly embrace our culture. You'll be paired with an onboarding "Trail Guide" to support you in your first months and connect with colleagues, both in person and remotely, who will guide you through the traditional and Recursion-specific aspects of your role. Additionally, you'll join onboarding events, like Decoding Recursion, to deepen your understanding and integration into the team. The Values That We Hope You Share: We Care: We care about our drug candidates, our Recursionauts, their families, each other, our communities, the patients we aim to serve and their loved ones. We also care about our work. We Learn: Learning from the diverse perspectives of our fellow Recursionauts, and from failure, is an essential part of how we make progress. We Deliver: We are unapologetic that our expectations for delivery are extraordinarily high. There is urgency to our existence: we sprint at maximum engagement, making time and space to recover. Act Boldly with Integrity: No company changes the world or reinvents an industry without being bold. It must be balanced; not by timidity, but by doing the right thing even when no one is looking. We are One Recursion: We operate with a 'company first, team second' mentality. Our success comes from working as one interdisciplinary team. More About Recursion Recursion is a clinical stage TechBio company leading the space by decoding biology to industrialize drug discovery. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously expands one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in London, Toronto, Montreal and the San Francisco Bay Area. Learn more at , or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer that values diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation.
LLM Engagement Manager (LLM EM) is an expert in Large Language Model delivery. The LLM EM is responsible for the end-to-end delivery of LLM projects. Your role will involve working directly with LLM clients to understand their project objectives and coordinating with internal Appen teams to deliver successful LLM projects. You will build continuously improved competency in LLM project types and provide insights in areas including recruitment, job design, guidelines, and quality. As part of the Language Services team at Appen, LLM delivery experts are expected to build deep expertise in the LLM data modality and deliver high-quality LLM data services to help our clients build cutting-edge models and applications. As an LLM Delivery expert you will bring an own it attitude to ensure that we deliver the best outcomes for our clients, build thought leadership in the LLM space, and drive operational excellence in collaboration with cross-functional teams. Responsibilities Understand client and project objectives to define methodology, job design, guidelines, recruitment requests, and quality management plan. Lead project teams in a matrix environment to ensure end-to-end delivery against project scope, timeline, and budget. Provide regular project status reporting, such as productivity, quality, financial health, and other key performance metrics. Manage and escalate risks, and undertake recovery actions as necessary. Provide clear communications to internal and external stakeholders. Prepare client deliverables, including data and reports. Lead internal PPRs and participate in program improvement initiatives to improve Appen's LLM delivery capabilities. Qualifications & Preferred Experience Minimum 3 years of project management experience in a professional services or technology organization. Experience delivering LLM or language data services preferred. Bachelor's degree from an accredited University. Degree in linguistics, data science, or other related fields preferred. Ability to analyze data, draw insights, and develop client-facing reports. Strong communication skills and ability to manage relationships with internal and external stakeholders. High level of ownership with the ability to thrive in a fast-paced, dynamic environment. Passion for the AI industry and understanding of AI technologies including LLMs. You will succeed in this role if you: Have a passion for LLMs, AI, and ML and are driven by changes in market and industry approaches to solve unique use cases. Can establish a course of action for yourself and others and drive initiatives to completion. Able to deal calmly and professionally with ambiguous data while leading in an environment of constant change. Able to establish productive, cooperative relationships across a global team and demonstrate excellent client management skills. Excellent at communication, including the ability to present information clearly and concisely in writing or verbally. Passionate about learning new skills and technologies. Take personal responsibility for continuous learning and are generous with investing in the learning of your peer group. An analytical thinker with the ability to proactively identify problems, gather information, and set a course of action. £40,000 - £45,000 a year About Appen Appen is your trusted partner to provide high-quality data solutions for AI, with a strong focus on large language models (LLMs) and deep learning. Our mission is to empower businesses to harness the full potential of artificial intelligence while upholding ethical principles and creating AI for good. With a diverse and skilled workforce comprising data scientists, linguists, engineers, and subject matter experts, we offer unrivaled expertise in data collection, annotation, fine-tuning, and assurance. We understand the transformative power of LLMs in revolutionizing natural language processing and communication. What sets us apart is our commitment to ethical AI practices. We believe in the responsible use of AI, ensuring fairness, transparency, and unbiased decision-making. Our stringent processes are designed to mitigate biases and uphold the highest ethical standards, enabling our clients to deploy AI applications that are trustworthy and inclusive. At Appen, we firmly believe in the potential of AI to make a positive impact on society. Our mission is to drive innovation and solutions that address pressing global challenges. We actively collaborate with organizations and researchers working on socially impactful projects, aiming to leverage AI technology to solve real-world problems, improve lives, and foster a more sustainable future. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Feb 09, 2025
Full time
LLM Engagement Manager (LLM EM) is an expert in Large Language Model delivery. The LLM EM is responsible for the end-to-end delivery of LLM projects. Your role will involve working directly with LLM clients to understand their project objectives and coordinating with internal Appen teams to deliver successful LLM projects. You will build continuously improved competency in LLM project types and provide insights in areas including recruitment, job design, guidelines, and quality. As part of the Language Services team at Appen, LLM delivery experts are expected to build deep expertise in the LLM data modality and deliver high-quality LLM data services to help our clients build cutting-edge models and applications. As an LLM Delivery expert you will bring an own it attitude to ensure that we deliver the best outcomes for our clients, build thought leadership in the LLM space, and drive operational excellence in collaboration with cross-functional teams. Responsibilities Understand client and project objectives to define methodology, job design, guidelines, recruitment requests, and quality management plan. Lead project teams in a matrix environment to ensure end-to-end delivery against project scope, timeline, and budget. Provide regular project status reporting, such as productivity, quality, financial health, and other key performance metrics. Manage and escalate risks, and undertake recovery actions as necessary. Provide clear communications to internal and external stakeholders. Prepare client deliverables, including data and reports. Lead internal PPRs and participate in program improvement initiatives to improve Appen's LLM delivery capabilities. Qualifications & Preferred Experience Minimum 3 years of project management experience in a professional services or technology organization. Experience delivering LLM or language data services preferred. Bachelor's degree from an accredited University. Degree in linguistics, data science, or other related fields preferred. Ability to analyze data, draw insights, and develop client-facing reports. Strong communication skills and ability to manage relationships with internal and external stakeholders. High level of ownership with the ability to thrive in a fast-paced, dynamic environment. Passion for the AI industry and understanding of AI technologies including LLMs. You will succeed in this role if you: Have a passion for LLMs, AI, and ML and are driven by changes in market and industry approaches to solve unique use cases. Can establish a course of action for yourself and others and drive initiatives to completion. Able to deal calmly and professionally with ambiguous data while leading in an environment of constant change. Able to establish productive, cooperative relationships across a global team and demonstrate excellent client management skills. Excellent at communication, including the ability to present information clearly and concisely in writing or verbally. Passionate about learning new skills and technologies. Take personal responsibility for continuous learning and are generous with investing in the learning of your peer group. An analytical thinker with the ability to proactively identify problems, gather information, and set a course of action. £40,000 - £45,000 a year About Appen Appen is your trusted partner to provide high-quality data solutions for AI, with a strong focus on large language models (LLMs) and deep learning. Our mission is to empower businesses to harness the full potential of artificial intelligence while upholding ethical principles and creating AI for good. With a diverse and skilled workforce comprising data scientists, linguists, engineers, and subject matter experts, we offer unrivaled expertise in data collection, annotation, fine-tuning, and assurance. We understand the transformative power of LLMs in revolutionizing natural language processing and communication. What sets us apart is our commitment to ethical AI practices. We believe in the responsible use of AI, ensuring fairness, transparency, and unbiased decision-making. Our stringent processes are designed to mitigate biases and uphold the highest ethical standards, enabling our clients to deploy AI applications that are trustworthy and inclusive. At Appen, we firmly believe in the potential of AI to make a positive impact on society. Our mission is to drive innovation and solutions that address pressing global challenges. We actively collaborate with organizations and researchers working on socially impactful projects, aiming to leverage AI technology to solve real-world problems, improve lives, and foster a more sustainable future. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Location(s): UK, Europe & Africa : UK : London BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Data Scientist Requisition ID: 121365 Location: London - We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Grade: GG11-GG12 Referral Bonus: £5,000 Job Description Are you passionate about working with cutting-edge AI/ML technology? Are you self-motivated to find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE Systems as an experienced Data Scientist. As part of our AI team, you will be working with our National Security Customers to understand their business challenges and identify where AI/ML-based solutions can add value. You will lead on discovery activities to explore opportunities for applying data science techniques to solve customer problems. Working with them, you'll test assumptions on the effectiveness of AI/ML to meet their needs. You will work as part of an empowered, multi-disciplinary AI team whose purpose is to develop common AI propositions that will benefit a range of our customers. Working alongside ML Engineers, AI Strategy Lead and Delivery Management, you will help shape and execute our AI Strategy focused on: Our Customers: Elaborate user needs and measure AI value Our Position: Establish our market position and define our USP Our Skills: Develop our career paths and learning plans for AI Our Partners: Understand technology partner capabilities and build our AI partner ecosystem Our Innovation: Learn through AI experiments and demonstrate pull-through to product development Working in a small team you'll be given as much ownership and responsibility as you have the appetite for, but be part of our much bigger National Security community that will give you the support you need to grow in your career. Our unique customers have interesting, complex data they wish to exploit. You will demonstrate the potential of applying data science approaches to meet their business needs. You will be expected to develop, test and validate machine learning models, providing guidance to others where needed. As a leading AI expert, you'll provide strategic & technical advice to our customers and consider the ethical implications of applying data science approaches in the context of customers' missions. We're embarking upon a pivotal period that will significantly grow our AI capability, where you will be leading on the development of innovative products & services that support our customers' missions. Our senior leadership team will seek your advice on how best to position our AI proposition to customers. You'll have the opportunity to get to know our own business and work with people across a diverse range of professional backgrounds. This is an exciting time to join our team to help pioneer both our customer's and our own AI adoption journey. Not only will you be directly making a huge impact through the solutions you develop, you'll be doing it for an organisation that makes a huge impact on the security of the UK. About you You will have experience in many of the following: Analysis of user needs and advising on the use of relevant standards, methods, tools, frameworks, and processes for data science. Creatively applying innovative thinking and design practices to identify solutions that will deliver value for the benefit of the customer/stakeholder. Employing data science algorithms and methods for complex data processing, statistical analysis, and advanced analytics. Collaboratively designing & building prototypes and Proof of Concept solutions. Conducting data preparation, modelling, labelling, and transformation of 'messy' data, to make ready for the application of data science techniques. Applying AI/ML approaches through design, development, and optimisation of machine learning solutions. Understanding of ethical, privacy, security, and policy concerns relevant to the application of AI/ML. Coding of complex programs and scripts, expert in Python programming. Supervising junior analysts/scientists and ML engineers, providing guidance & coaching. Performing assessment of AI-related risks, identifying recommended mitigations. Shaping product roadmaps & informing strategies to adopt AI/ML. Offering thought leadership on data science trends, benefits, and key considerations presenting to wider communities e.g. blogs, events, and conferences. It would be great if you also had experience in some of these, but if not, we'll help you with them: Developing in Cloud Computing such as AWS, MS Azure. Utilising CI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline delivery of new features and fixes. Designing and modelling AI/ML architectures. Relational, document, search or graph database systems. Containerisation e.g. Docker, Kubernetes. Producing data science learning plans to meet skills needs. Security Clearance is required for this vacancy. If you are not currently Security Cleared, you will need to be eligible for this and willing to go through the process. How we will support you Work-life balance is important; you can work around core hours with flexible and part-time working, and many of our roles include hybrid working enabling a mix of working from home and in the office. You'll get 25 days holiday a year and the option to buy/sell and carry over from the year before. Our flexible benefits package includes private medical and dental insurance, a competitive pension scheme, cycle to work scheme, taste cards and more. You'll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE. You'll be part of our company bonus scheme. You are welcome to join any/all of our Diversity and Support groups. These groups cover everything from gender diversity to mental health and wellbeing. About our team Our people are what differentiates us; they are resourceful, innovative, and dedicated. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting-edge, high-quality solutions. Our breadth of work across the Public Sector provides diverse opportunities for our people to develop their careers in new areas of expertise and with new clients. You'll be part of a big company, but we try to create a culture that feels like a small one. The work will stretch you and be challenging, but we encourage a healthy work-life balance. Most of all, we know teams who work well together also perform well. We'll do everything we can to ensure you have fun at work, and in social activities outside of it whether that's virtually or in person, as conditions allow. You will be joining our National Security business which is the largest area within our UK business. Our mission is to be the most trusted partner for our National Security clients in delivery of their core mission. At the end of 2020, we had over 700 employees working across our security and law enforcement customers. This year, we are looking to build on our success and grow even further by recruiting over 100 new members to our team. We have a rich history of working within National Security. In fact, we have over 40 years' experience of delivering advice and solutions to our customers in this sector, supporting them in carrying out their vital missions. More about BAE Systems You will work for a division of BAE Systems who helps nations, governments, and businesses around the world defend themselves against cyber crime, reduce their risk in the connected world, comply with regulation, and transform their operations. We're a consultancy and products business and employ smart, motivated individuals who work together across a range of projects and products. You'll get to work on a variety of different systems for different customers throughout your career with us. We're passionate about Diversity and Inclusion in our workforce and the people you'll work with will reflect this. We employ over 4,000 people across 18 countries in the Americas, APAC, UK, and EMEA. For more information please visit our website: Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate, and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively and enhance well-being. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence . click apply for full job details
Feb 09, 2025
Full time
Location(s): UK, Europe & Africa : UK : London BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Data Scientist Requisition ID: 121365 Location: London - We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Grade: GG11-GG12 Referral Bonus: £5,000 Job Description Are you passionate about working with cutting-edge AI/ML technology? Are you self-motivated to find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE Systems as an experienced Data Scientist. As part of our AI team, you will be working with our National Security Customers to understand their business challenges and identify where AI/ML-based solutions can add value. You will lead on discovery activities to explore opportunities for applying data science techniques to solve customer problems. Working with them, you'll test assumptions on the effectiveness of AI/ML to meet their needs. You will work as part of an empowered, multi-disciplinary AI team whose purpose is to develop common AI propositions that will benefit a range of our customers. Working alongside ML Engineers, AI Strategy Lead and Delivery Management, you will help shape and execute our AI Strategy focused on: Our Customers: Elaborate user needs and measure AI value Our Position: Establish our market position and define our USP Our Skills: Develop our career paths and learning plans for AI Our Partners: Understand technology partner capabilities and build our AI partner ecosystem Our Innovation: Learn through AI experiments and demonstrate pull-through to product development Working in a small team you'll be given as much ownership and responsibility as you have the appetite for, but be part of our much bigger National Security community that will give you the support you need to grow in your career. Our unique customers have interesting, complex data they wish to exploit. You will demonstrate the potential of applying data science approaches to meet their business needs. You will be expected to develop, test and validate machine learning models, providing guidance to others where needed. As a leading AI expert, you'll provide strategic & technical advice to our customers and consider the ethical implications of applying data science approaches in the context of customers' missions. We're embarking upon a pivotal period that will significantly grow our AI capability, where you will be leading on the development of innovative products & services that support our customers' missions. Our senior leadership team will seek your advice on how best to position our AI proposition to customers. You'll have the opportunity to get to know our own business and work with people across a diverse range of professional backgrounds. This is an exciting time to join our team to help pioneer both our customer's and our own AI adoption journey. Not only will you be directly making a huge impact through the solutions you develop, you'll be doing it for an organisation that makes a huge impact on the security of the UK. About you You will have experience in many of the following: Analysis of user needs and advising on the use of relevant standards, methods, tools, frameworks, and processes for data science. Creatively applying innovative thinking and design practices to identify solutions that will deliver value for the benefit of the customer/stakeholder. Employing data science algorithms and methods for complex data processing, statistical analysis, and advanced analytics. Collaboratively designing & building prototypes and Proof of Concept solutions. Conducting data preparation, modelling, labelling, and transformation of 'messy' data, to make ready for the application of data science techniques. Applying AI/ML approaches through design, development, and optimisation of machine learning solutions. Understanding of ethical, privacy, security, and policy concerns relevant to the application of AI/ML. Coding of complex programs and scripts, expert in Python programming. Supervising junior analysts/scientists and ML engineers, providing guidance & coaching. Performing assessment of AI-related risks, identifying recommended mitigations. Shaping product roadmaps & informing strategies to adopt AI/ML. Offering thought leadership on data science trends, benefits, and key considerations presenting to wider communities e.g. blogs, events, and conferences. It would be great if you also had experience in some of these, but if not, we'll help you with them: Developing in Cloud Computing such as AWS, MS Azure. Utilising CI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline delivery of new features and fixes. Designing and modelling AI/ML architectures. Relational, document, search or graph database systems. Containerisation e.g. Docker, Kubernetes. Producing data science learning plans to meet skills needs. Security Clearance is required for this vacancy. If you are not currently Security Cleared, you will need to be eligible for this and willing to go through the process. How we will support you Work-life balance is important; you can work around core hours with flexible and part-time working, and many of our roles include hybrid working enabling a mix of working from home and in the office. You'll get 25 days holiday a year and the option to buy/sell and carry over from the year before. Our flexible benefits package includes private medical and dental insurance, a competitive pension scheme, cycle to work scheme, taste cards and more. You'll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE. You'll be part of our company bonus scheme. You are welcome to join any/all of our Diversity and Support groups. These groups cover everything from gender diversity to mental health and wellbeing. About our team Our people are what differentiates us; they are resourceful, innovative, and dedicated. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting-edge, high-quality solutions. Our breadth of work across the Public Sector provides diverse opportunities for our people to develop their careers in new areas of expertise and with new clients. You'll be part of a big company, but we try to create a culture that feels like a small one. The work will stretch you and be challenging, but we encourage a healthy work-life balance. Most of all, we know teams who work well together also perform well. We'll do everything we can to ensure you have fun at work, and in social activities outside of it whether that's virtually or in person, as conditions allow. You will be joining our National Security business which is the largest area within our UK business. Our mission is to be the most trusted partner for our National Security clients in delivery of their core mission. At the end of 2020, we had over 700 employees working across our security and law enforcement customers. This year, we are looking to build on our success and grow even further by recruiting over 100 new members to our team. We have a rich history of working within National Security. In fact, we have over 40 years' experience of delivering advice and solutions to our customers in this sector, supporting them in carrying out their vital missions. More about BAE Systems You will work for a division of BAE Systems who helps nations, governments, and businesses around the world defend themselves against cyber crime, reduce their risk in the connected world, comply with regulation, and transform their operations. We're a consultancy and products business and employ smart, motivated individuals who work together across a range of projects and products. You'll get to work on a variety of different systems for different customers throughout your career with us. We're passionate about Diversity and Inclusion in our workforce and the people you'll work with will reflect this. We employ over 4,000 people across 18 countries in the Americas, APAC, UK, and EMEA. For more information please visit our website: Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate, and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively and enhance well-being. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence . click apply for full job details
Senior / Principal Consultant - Water Sector We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. On the back of continued success, we are looking for talented people to join our growing asset management team. We work very closely with all our clients, build strong interpersonal relationships and pride ourselves on our ability to 'walk the talk'. Therefore, we are particularly interested in those who have practical 'hands-on' experience with water infrastructure assets and interest in: The operation of water and wastewater networks The asset management challenges in delivering a source to tap service, including the threats & opportunities faced by the sector in the coming decades The production of asset strategies, asset policy, asset plans and asset standards At PA we believe that a brilliant asset manager is someone who is curious, enjoys exploring new ideas, and seeks to evolve asset management thinking and problem definition. We are looking to recruit and support curious asset management experts to develop across these areas, who are willing to learn and develop themselves in a consulting environment. To further enhance our projects pipeline we are looking for people to generate growth; business development is the key enabler for this, so previous experience of winning new work and developing opportunities is highly beneficial. While successful candidates will have a good technical understanding of their field, deep specialism is not the only facet of PA consultants; we also want ingenious people who can turn highly technical detail into simple concepts and communicate this clearly to anyone from boardroom to factory floor. Our consultants should be able to adapt their style to work effectively with clients and inspire confidence. We're looking for someone with these attributes: Self-motivation and ability to manage their own workload effectively Creative and open minded, enjoying learning and trying new ways of doing things Strong communication, presentation creation, delivery and document writing skills A great team member in multi-discipline teams Flexible working - We are guided by our client work and needs; however, you have autonomy to manage your time and diary to suit your work/life balance. Qualifications You have a technical background or possess strong technical competencies in one or more of the following areas: Smart Metering Smart and Calm Networks Network Operations (Water and Wastewater) Long term asset strategies You are passionate about the opportunities and challenges in the water sector. You are delivery oriented and at your best when, as part of a team with a high focus on results, you can help clients solve challenging strategic issues. You have a proven ability to lead a portfolio of workstreams or small projects, ensuring compliance with relevant quality assurance and standards and supporting the development of less experienced staff. You have strong communication skills with experience in effective collaboration across internal multi-disciplinary teams with other disciplines including data scientists, economists and engineers. A drive to be abreast of professional development and knowledge of current and emerging market trends and technical solutions. We know the skill-gap and 'somewhat need to tick every box' can get in the way of meeting brilliant candidates, so please don't hesitate to apply - we'd love to hear from you. Apply today by completing our online application Additional information Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge, and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds, identities, and minds, embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity - bringing ingenuity to life. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity-based initiatives Annual performance-based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We are on a journey towards ensuring our workforce is diverse at all levels and that our firm is representative of the world around us. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on
Feb 08, 2025
Full time
Senior / Principal Consultant - Water Sector We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. On the back of continued success, we are looking for talented people to join our growing asset management team. We work very closely with all our clients, build strong interpersonal relationships and pride ourselves on our ability to 'walk the talk'. Therefore, we are particularly interested in those who have practical 'hands-on' experience with water infrastructure assets and interest in: The operation of water and wastewater networks The asset management challenges in delivering a source to tap service, including the threats & opportunities faced by the sector in the coming decades The production of asset strategies, asset policy, asset plans and asset standards At PA we believe that a brilliant asset manager is someone who is curious, enjoys exploring new ideas, and seeks to evolve asset management thinking and problem definition. We are looking to recruit and support curious asset management experts to develop across these areas, who are willing to learn and develop themselves in a consulting environment. To further enhance our projects pipeline we are looking for people to generate growth; business development is the key enabler for this, so previous experience of winning new work and developing opportunities is highly beneficial. While successful candidates will have a good technical understanding of their field, deep specialism is not the only facet of PA consultants; we also want ingenious people who can turn highly technical detail into simple concepts and communicate this clearly to anyone from boardroom to factory floor. Our consultants should be able to adapt their style to work effectively with clients and inspire confidence. We're looking for someone with these attributes: Self-motivation and ability to manage their own workload effectively Creative and open minded, enjoying learning and trying new ways of doing things Strong communication, presentation creation, delivery and document writing skills A great team member in multi-discipline teams Flexible working - We are guided by our client work and needs; however, you have autonomy to manage your time and diary to suit your work/life balance. Qualifications You have a technical background or possess strong technical competencies in one or more of the following areas: Smart Metering Smart and Calm Networks Network Operations (Water and Wastewater) Long term asset strategies You are passionate about the opportunities and challenges in the water sector. You are delivery oriented and at your best when, as part of a team with a high focus on results, you can help clients solve challenging strategic issues. You have a proven ability to lead a portfolio of workstreams or small projects, ensuring compliance with relevant quality assurance and standards and supporting the development of less experienced staff. You have strong communication skills with experience in effective collaboration across internal multi-disciplinary teams with other disciplines including data scientists, economists and engineers. A drive to be abreast of professional development and knowledge of current and emerging market trends and technical solutions. We know the skill-gap and 'somewhat need to tick every box' can get in the way of meeting brilliant candidates, so please don't hesitate to apply - we'd love to hear from you. Apply today by completing our online application Additional information Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge, and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds, identities, and minds, embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity - bringing ingenuity to life. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare for you and your family 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity-based initiatives Annual performance-based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We are on a journey towards ensuring our workforce is diverse at all levels and that our firm is representative of the world around us. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on
Prin GTM SSA AIML UK, EMEA GTM Data and AI Solutions Architecture Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, GenAI and ML background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Data and AI team as a GTM Specialist Solutions Architect! EMEA Go-To-Market (GTM) Specialist Solutions Architecture team is looking for a Machine Learning (ML) practitioner, who will guide customers innovating, operationalizing and building enterprise-grade platforms/solutions leveraging Generative AI/ML from proof-of-concept to production. AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar business. This role helps customers providing GenAI/ML best practices, including techniques for responsible AI, model fine tuning, continued pre-training, PEFT, domain adaptation, model evaluation, mitigating hallucinations, prompt engineering, RAG, FM Ops, security, and other existing and emerging GenAI/ML related techniques. You will develop technical assets (reference architectures, whitepapers, workshops, demos, solutions, blog posts, field enablement) that can be used by AWS teams, partners and customers to demonstrate Generative AI/ML capabilities and how to operationalize their workloads. You will engage with AWS product teams to influence product roadmap and vision and accelerate the adoption of ML across customers in the region. In emerging areas, we play a critical role as the "first in" teams to build markets for new GenAI/ML services, or solutions. When a customer needs to innovate and requires a new way to leverage AWS, they count on us to innovate with them to build and deliver what they need. You must have a deep understanding of Generative AI models, including their strengths, limitations, risk and evaluation techniques. You should have hands-on Machine Learning experience to work directly with senior ML Engineers and Data Scientists at customers, partners and AWS service teams. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Key Job Responsibilities Represent the voice of the customer; collaborate with field and central teams to bring customer feedback to product teams. Lead curation of custom feature and availability requests for unique customer use cases. Provide advanced technical knowledge to your aligned GTM teams to unblock our customers' largest and most critical business challenges. Along with your extended team, own the technical bar for specialist technical artifacts and standards. Collaborate with your GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events, campaigns, and customer engagements. Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc. Guide and Support an AWS internal community of technical subject matter experts aligned to your customers. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures. A Day in the Life Diverse Experiences. AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. About the Team The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as . Minimum Requirements Multiple years design/implementation/consulting experience of distributed applications Multiple years management of technical, customer-facing resources Multiple years of hands-on experience with AI/ML or related technology domain Multiple years of hands-on experience with building ML/data pipelines, data engineering, or similar technologies Multiple years of experience with Python to analyze datasets, train, evaluate, deploy, and optimize models. History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises. Experience migrating or transforming legacy customer solutions to the cloud. Strong written and verbal communication skills with a high degree of comfort speaking with executives, IT Management, and developers. Familiarity with common enterprise services and working knowledge of software development tools and methodologies AWS Solution Architecture certification or relevant cloud expertise. Demonstrated ability to adapt to new technologies and learn quickly. Computer Science/relevant degree and/or experience highly desired. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Feb 08, 2025
Full time
Prin GTM SSA AIML UK, EMEA GTM Data and AI Solutions Architecture Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, GenAI and ML background, and sales skills necessary to help position AWS as the cloud provider of choice for customers? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Data and AI team as a GTM Specialist Solutions Architect! EMEA Go-To-Market (GTM) Specialist Solutions Architecture team is looking for a Machine Learning (ML) practitioner, who will guide customers innovating, operationalizing and building enterprise-grade platforms/solutions leveraging Generative AI/ML from proof-of-concept to production. AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar business. This role helps customers providing GenAI/ML best practices, including techniques for responsible AI, model fine tuning, continued pre-training, PEFT, domain adaptation, model evaluation, mitigating hallucinations, prompt engineering, RAG, FM Ops, security, and other existing and emerging GenAI/ML related techniques. You will develop technical assets (reference architectures, whitepapers, workshops, demos, solutions, blog posts, field enablement) that can be used by AWS teams, partners and customers to demonstrate Generative AI/ML capabilities and how to operationalize their workloads. You will engage with AWS product teams to influence product roadmap and vision and accelerate the adoption of ML across customers in the region. In emerging areas, we play a critical role as the "first in" teams to build markets for new GenAI/ML services, or solutions. When a customer needs to innovate and requires a new way to leverage AWS, they count on us to innovate with them to build and deliver what they need. You must have a deep understanding of Generative AI models, including their strengths, limitations, risk and evaluation techniques. You should have hands-on Machine Learning experience to work directly with senior ML Engineers and Data Scientists at customers, partners and AWS service teams. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Key Job Responsibilities Represent the voice of the customer; collaborate with field and central teams to bring customer feedback to product teams. Lead curation of custom feature and availability requests for unique customer use cases. Provide advanced technical knowledge to your aligned GTM teams to unblock our customers' largest and most critical business challenges. Along with your extended team, own the technical bar for specialist technical artifacts and standards. Collaborate with your GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events, campaigns, and customer engagements. Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc. Guide and Support an AWS internal community of technical subject matter experts aligned to your customers. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures. A Day in the Life Diverse Experiences. AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. About the Team The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer's most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as . Minimum Requirements Multiple years design/implementation/consulting experience of distributed applications Multiple years management of technical, customer-facing resources Multiple years of hands-on experience with AI/ML or related technology domain Multiple years of hands-on experience with building ML/data pipelines, data engineering, or similar technologies Multiple years of experience with Python to analyze datasets, train, evaluate, deploy, and optimize models. History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises. Experience migrating or transforming legacy customer solutions to the cloud. Strong written and verbal communication skills with a high degree of comfort speaking with executives, IT Management, and developers. Familiarity with common enterprise services and working knowledge of software development tools and methodologies AWS Solution Architecture certification or relevant cloud expertise. Demonstrated ability to adapt to new technologies and learn quickly. Computer Science/relevant degree and/or experience highly desired. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
IC London England 77 Shaftesbury Ave Soho 5th Floor London, LND W1D5DU, GBR IC London England 77 Shaftesbury Ave Soho 5th Floor London, LND W1D5DU, GBR About InvestCloud InvestCloud is at the forefront of wealth technology, offering innovative solutions that redefine how the financial services industry operates. With a global presence and a client-first approach, we specialize in digital transformations powered by our flexible, modular technology. About the Team You will be joining the newly formed AI, Data & Analytics team, primarily responsible as a Data Scientist leading various projects within the small AI team. The new team is focused on driving increased value from the data InvestCloud captures to enable a smarter financial future for our clients, in particular focused on "enhanced intelligence". Ensuring we have fit-for-purpose modern capabilities is a key goal for the team. We are seeking a Senior Data Scientist / Machine Learning Engineer with a background in Data Science, Machine Learning, and Generative AI models. The ideal candidate should have a proven track record in delivering business impact and delighting clients by developing and deploying ML and AI models in production, along with excellent problem-solving skills. In this role you will integrate AI and ML solutions into the InvestCloud product suite. Key Responsibilities Implement applications powered by Generative AI and Machine Learning models and deploy them in production Develop and maintain datasets and data pipelines to support Machine Learning model training and deployment Interpret results from Machine Learning models and communicate findings to both technical and non-technical stakeholders Stay updated with the latest advancements in Machine Learning, natural language processing, and generative AI. Analyse large datasets to identify patterns, trends, and insights that can inform business decisions. Work with 3 rd party providers of AI products to evaluate and implement solutions achieving Investcloud's business objectives. Required Skills MSc degree in Mathematics, Statistics, Computer Science, Data Science, Machine Learning, or a related technical field or equivalent practical experience At least four years of professional experience in Data Science, Machine Learning and AI Outstanding communications skills in English Proficiency in programming in Python Knowledge of Machine Learning frameworks (Scikit-learn) and LLM frameworks (e.g. Langchain) Knowledge of data preprocessing, feature engineering and model evaluation metrics Experience using large language models, generative AI and agentic frameworks Experience working with Snowflake and/or Databricks or similar tools Working experience developing and deploying Machine Learning models in production Working experience with Git and Docker Working proficiency in English Strong communication skills to engage with non-technical stakeholders Ability to work in a fast-paced environment, working across multiple projects simultaneously Ability to collaborate effectively as a team player, fostering a culture of open communication and mutual respect. Preferred skills Working experience with Vector Database Technologies Experience with cloud platforms such as AWS, GCP, or Azure What do we offer Join our diverse and international cross-functional team, comprising data scientists, product managers, business analyst and software engineers. As a key member of our team, you will have the opportunity to implement cutting-edge technology to create a next-generation advisor and client experience. Location and Travel The ideal candidate will be expected to work from the office on a regular basis (3 days minimum per week). Occasional travel may be required. Compensation The salary range will be determined based on experience, skills, and geographic location. Please note Visa sponsorship is not available for this role. Equal Opportunity Employer InvestCloud is committed to fostering an inclusive workplace and welcomes applicants from all backgrounds.
Feb 08, 2025
Full time
IC London England 77 Shaftesbury Ave Soho 5th Floor London, LND W1D5DU, GBR IC London England 77 Shaftesbury Ave Soho 5th Floor London, LND W1D5DU, GBR About InvestCloud InvestCloud is at the forefront of wealth technology, offering innovative solutions that redefine how the financial services industry operates. With a global presence and a client-first approach, we specialize in digital transformations powered by our flexible, modular technology. About the Team You will be joining the newly formed AI, Data & Analytics team, primarily responsible as a Data Scientist leading various projects within the small AI team. The new team is focused on driving increased value from the data InvestCloud captures to enable a smarter financial future for our clients, in particular focused on "enhanced intelligence". Ensuring we have fit-for-purpose modern capabilities is a key goal for the team. We are seeking a Senior Data Scientist / Machine Learning Engineer with a background in Data Science, Machine Learning, and Generative AI models. The ideal candidate should have a proven track record in delivering business impact and delighting clients by developing and deploying ML and AI models in production, along with excellent problem-solving skills. In this role you will integrate AI and ML solutions into the InvestCloud product suite. Key Responsibilities Implement applications powered by Generative AI and Machine Learning models and deploy them in production Develop and maintain datasets and data pipelines to support Machine Learning model training and deployment Interpret results from Machine Learning models and communicate findings to both technical and non-technical stakeholders Stay updated with the latest advancements in Machine Learning, natural language processing, and generative AI. Analyse large datasets to identify patterns, trends, and insights that can inform business decisions. Work with 3 rd party providers of AI products to evaluate and implement solutions achieving Investcloud's business objectives. Required Skills MSc degree in Mathematics, Statistics, Computer Science, Data Science, Machine Learning, or a related technical field or equivalent practical experience At least four years of professional experience in Data Science, Machine Learning and AI Outstanding communications skills in English Proficiency in programming in Python Knowledge of Machine Learning frameworks (Scikit-learn) and LLM frameworks (e.g. Langchain) Knowledge of data preprocessing, feature engineering and model evaluation metrics Experience using large language models, generative AI and agentic frameworks Experience working with Snowflake and/or Databricks or similar tools Working experience developing and deploying Machine Learning models in production Working experience with Git and Docker Working proficiency in English Strong communication skills to engage with non-technical stakeholders Ability to work in a fast-paced environment, working across multiple projects simultaneously Ability to collaborate effectively as a team player, fostering a culture of open communication and mutual respect. Preferred skills Working experience with Vector Database Technologies Experience with cloud platforms such as AWS, GCP, or Azure What do we offer Join our diverse and international cross-functional team, comprising data scientists, product managers, business analyst and software engineers. As a key member of our team, you will have the opportunity to implement cutting-edge technology to create a next-generation advisor and client experience. Location and Travel The ideal candidate will be expected to work from the office on a regular basis (3 days minimum per week). Occasional travel may be required. Compensation The salary range will be determined based on experience, skills, and geographic location. Please note Visa sponsorship is not available for this role. Equal Opportunity Employer InvestCloud is committed to fostering an inclusive workplace and welcomes applicants from all backgrounds.
Job Title: Data Science Analyst Location: Peterborough (hybrid working) We have an exciting opportunity at Markerstudy Distribution (part of Markerstudy Group) for a Data Science Analyst. You will be responsible for providing data science and analytics solutions that helps to shape our strategic roadmaps and customer propositions, working with a variety of teams and stakeholders to embed your findings. Our Data Science and Pricing team provides value in showcasing the business how to monetise data, we are a team of 80 and growing Data Science and Pricing analytical professionals working with every corner of our commercial business. This role sits in the Data Science team. The Data Science team provides data products, insights and services to internal / external stakeholders from partnerships, insurers, customer insight, digital, marketing and call centre teams. This is a great springboard opportunity for you to start your career in Data Science, we'll provide you with the relevant technical training around our data asset and technology plus more, all we ask is that you're naturally inquisitive, passionate about problem solving and data, and view it as a vocation. You'll fit right into our environment with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value. Key Roles and Responsibilities Explore large structured/ unstructured data from a variety of sources Explore, distil and visualise data using leading tools and technology Build strong, collaborative relationships with stakeholders across Markerstudy Distribution and Group Maintenance of our Data Products, Frameworks and Tools Drive commercial benefit and solve business problems using data Understand End-to-End Data Science / Product lifecycle Working with other Data Scientists & Managers, analytics professionals on Projects What you can expect to be working on: Within the first 3-6 months you will gain knowledge of our data assets by creating actionable business insight from our data warehouse to build a strong foundation. Expect to be hands on using tools like Python / SQL, and working with large datasets. By the end of your first year, you will be competent in Python programming, our tools and framework, and will have undertaken at least one machine learning project. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety of data products e.g. Fraud, Claims, Debt, Digital personalisation. You will be skilled in Python (including real time coding) and SQL. Throughout you will receive ongoing personal development with senior members of the team to advance your skills and guide your future career progression. Key Skills, Experience and Knowledge: Passionate and curious about data science, data. Love solving problems. Strong numerical, a solid understanding of mathematical concepts and principles. Strong communication skills, and the ability to story-tell to our stakeholders and customers, can adapt for audiences of varying technical abilities. Resilience, can work independently to deliver projects. Proactively share insights, results and identify risks with the rest of the team. Proficient at communicating results in a concise manner both verbally and written. Experience using an analytical tool/language (Python, R or equivalent) or SQL (advantageous) Hands-on experience of data analysis and communicating findings (advantageous) Hands-on experience in the cloud platform and tools i.e. Azure, Databricks (advantageous) Behaviours: Team player Self-motivated with a drive to learn and develop Logical thinker with a professional and positive attitude Passion to innovate and improve processes Value differences and people from all walks of life, both colleagues and customers
Feb 08, 2025
Full time
Job Title: Data Science Analyst Location: Peterborough (hybrid working) We have an exciting opportunity at Markerstudy Distribution (part of Markerstudy Group) for a Data Science Analyst. You will be responsible for providing data science and analytics solutions that helps to shape our strategic roadmaps and customer propositions, working with a variety of teams and stakeholders to embed your findings. Our Data Science and Pricing team provides value in showcasing the business how to monetise data, we are a team of 80 and growing Data Science and Pricing analytical professionals working with every corner of our commercial business. This role sits in the Data Science team. The Data Science team provides data products, insights and services to internal / external stakeholders from partnerships, insurers, customer insight, digital, marketing and call centre teams. This is a great springboard opportunity for you to start your career in Data Science, we'll provide you with the relevant technical training around our data asset and technology plus more, all we ask is that you're naturally inquisitive, passionate about problem solving and data, and view it as a vocation. You'll fit right into our environment with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value. Key Roles and Responsibilities Explore large structured/ unstructured data from a variety of sources Explore, distil and visualise data using leading tools and technology Build strong, collaborative relationships with stakeholders across Markerstudy Distribution and Group Maintenance of our Data Products, Frameworks and Tools Drive commercial benefit and solve business problems using data Understand End-to-End Data Science / Product lifecycle Working with other Data Scientists & Managers, analytics professionals on Projects What you can expect to be working on: Within the first 3-6 months you will gain knowledge of our data assets by creating actionable business insight from our data warehouse to build a strong foundation. Expect to be hands on using tools like Python / SQL, and working with large datasets. By the end of your first year, you will be competent in Python programming, our tools and framework, and will have undertaken at least one machine learning project. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety of data products e.g. Fraud, Claims, Debt, Digital personalisation. You will be skilled in Python (including real time coding) and SQL. Throughout you will receive ongoing personal development with senior members of the team to advance your skills and guide your future career progression. Key Skills, Experience and Knowledge: Passionate and curious about data science, data. Love solving problems. Strong numerical, a solid understanding of mathematical concepts and principles. Strong communication skills, and the ability to story-tell to our stakeholders and customers, can adapt for audiences of varying technical abilities. Resilience, can work independently to deliver projects. Proactively share insights, results and identify risks with the rest of the team. Proficient at communicating results in a concise manner both verbally and written. Experience using an analytical tool/language (Python, R or equivalent) or SQL (advantageous) Hands-on experience of data analysis and communicating findings (advantageous) Hands-on experience in the cloud platform and tools i.e. Azure, Databricks (advantageous) Behaviours: Team player Self-motivated with a drive to learn and develop Logical thinker with a professional and positive attitude Passion to innovate and improve processes Value differences and people from all walks of life, both colleagues and customers
Description We are looking for a Data Scientist, with experience in the UK general insurance markets in either commercial or personal lines, to join Willis Towers Watson in our Data Science team which is part of our consulting practice to help us develop our Data Science advisory capability. You will work beside some of the market's top thought people designing and implementing cutting-edge solutions to challenges faced by the world's top general insurers and intermediaries. The Role Deliver best in class Data Science capability reviews Build effective predictive models, analytic tools and processes using a wide range of analytical and data science techniques Leverage your market knowledge to develop cutting edge solutions in collaboration with various teams from across WTW Build a market profile as a representative and advocate of WTW Data Science consulting services and technology solutions Manage substantial work streams in large projects, with responsibility for communication with clients and the day-to-day running of projects Work collaboratively on a range of projects / internal responsibilities and manage priorities appropriately Develop a trusted advisor relationship with client contacts through effective communication and efficient, quality execution of client work Seek to be involved in a variety of work to ensure a broad skill set (technical, management and client) is maintained and developed Interface with colleagues from other practices and regions on assignments that reflect the client's broader business issues Demonstrate commitment to Willis Towers Watson professional standards in managing analyses and in communications with clients To develop new relevant propositions or to enhance current pricing propositions leveraging Willis Towers Watson's toolset and broader pricing intellectual property and resources Manage or contribute to the development of the company's intellectual capital including plans for taking this to market Financial and business development Meet goals for billable hours and intellectual capital development Have a desire to work towards meeting revenue generation goals in the future Develop and present proposals to potential clients, demonstrating the economic value of the company's offerings Use contacts within current network to obtain introductions to new contacts; work to develop supporters for company's products and services Build relationships internally and collaborate effectively on cross-functional teams Demonstrate natural ease and effectiveness when dealing with clients/colleagues at all levels Manage teams of one or more junior associates to effectively deliver client projects on time and on budget Serve as line manager or mentor to more junior associates Qualifications The Requirements Data Science experience in a UK general insurance firm (personal or commercial lines) - either with experience across multiple lines of business or a deep expertise in a particular line An advocate for the development of analytical approaches and the adoption of new techniques, including data science, machine learning and AI Solid experience with data manipulation Experience with Python, Git (or other versioning tools) and MLOps is preferred An understanding of machine learning and statistical theory Experience with Azure and AWS is desirable Experience of Radar software is desirable A track record in innovation and creativity delivering realised revenue enhancements Strong interpersonal and team skills Self-starter attitude and ability to work within ambiguity Enjoy training/mentoring junior staff Excellent project management skills The ability to see the "big picture", leveraging the resources of related practices to address clients' business challenges Equal Opportunity Employer At WTW, we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome, valued and empowered to bring their whole selves to work every day. We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity.
Feb 08, 2025
Full time
Description We are looking for a Data Scientist, with experience in the UK general insurance markets in either commercial or personal lines, to join Willis Towers Watson in our Data Science team which is part of our consulting practice to help us develop our Data Science advisory capability. You will work beside some of the market's top thought people designing and implementing cutting-edge solutions to challenges faced by the world's top general insurers and intermediaries. The Role Deliver best in class Data Science capability reviews Build effective predictive models, analytic tools and processes using a wide range of analytical and data science techniques Leverage your market knowledge to develop cutting edge solutions in collaboration with various teams from across WTW Build a market profile as a representative and advocate of WTW Data Science consulting services and technology solutions Manage substantial work streams in large projects, with responsibility for communication with clients and the day-to-day running of projects Work collaboratively on a range of projects / internal responsibilities and manage priorities appropriately Develop a trusted advisor relationship with client contacts through effective communication and efficient, quality execution of client work Seek to be involved in a variety of work to ensure a broad skill set (technical, management and client) is maintained and developed Interface with colleagues from other practices and regions on assignments that reflect the client's broader business issues Demonstrate commitment to Willis Towers Watson professional standards in managing analyses and in communications with clients To develop new relevant propositions or to enhance current pricing propositions leveraging Willis Towers Watson's toolset and broader pricing intellectual property and resources Manage or contribute to the development of the company's intellectual capital including plans for taking this to market Financial and business development Meet goals for billable hours and intellectual capital development Have a desire to work towards meeting revenue generation goals in the future Develop and present proposals to potential clients, demonstrating the economic value of the company's offerings Use contacts within current network to obtain introductions to new contacts; work to develop supporters for company's products and services Build relationships internally and collaborate effectively on cross-functional teams Demonstrate natural ease and effectiveness when dealing with clients/colleagues at all levels Manage teams of one or more junior associates to effectively deliver client projects on time and on budget Serve as line manager or mentor to more junior associates Qualifications The Requirements Data Science experience in a UK general insurance firm (personal or commercial lines) - either with experience across multiple lines of business or a deep expertise in a particular line An advocate for the development of analytical approaches and the adoption of new techniques, including data science, machine learning and AI Solid experience with data manipulation Experience with Python, Git (or other versioning tools) and MLOps is preferred An understanding of machine learning and statistical theory Experience with Azure and AWS is desirable Experience of Radar software is desirable A track record in innovation and creativity delivering realised revenue enhancements Strong interpersonal and team skills Self-starter attitude and ability to work within ambiguity Enjoy training/mentoring junior staff Excellent project management skills The ability to see the "big picture", leveraging the resources of related practices to address clients' business challenges Equal Opportunity Employer At WTW, we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome, valued and empowered to bring their whole selves to work every day. We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity.
Role description Clinical Specialist - Bowel Management. Exciting new opportunity working across East Midlands, West Midlands, Cambridgeshire and Norfolk Role: Bowel Management Specialist Therapy Area: Bowel, Colorectal Location: East Midlands, West Midlands, Cambridgeshire and Norfolk Salary: Highly competitive salary, company car or car allowance, bonus and additional benefits package Hours: Full-time, permanent Role Type: Clinical Advisor, Clinical Specialist; Clinical Nurse Specialist; Nurse Advisor Are you a dedicated clinical professional with a passion for excellence and innovation, driven by Making a Difference to peoples lives, and motivated to support development and growth within a commercial environment? If you are then this opportunity will be of interest to you. This is an exciting role to work as a dedicated Bowel Management Specialist, you will join a successful team and drive clinical excellence for the Companys bowel management solutions. This role involves managing strategic clinical and education activities and services across a designated region. You will be instrumental in developing the Bowel Management (BM) services to support patients having earlier access to the Companys BM solutions. You will have the passion, drive and commitment to deliver specialist bowel care in collaboration with the NHS within the specified region. You will be able to work independently, be self-motivated and have a winning mindset. You will be a strategic thinker who wants to build on your commercial awareness and skill. The successful candidate will be able to display empathy and have an excellent ability to develop trust. To do this you will have excellent communication skills, including listening, interpersonal and influencing skills. In this role you will: Coordinate the delivery of an ethical and professional bowel management service to patients within professional and company guidelines. Collaborate with Territory Managers and the Strategic Partnership Manager to implement clinical strategies across your region. Additionally, you will promote the Company clinical services and solutions, be a key member involved in strategic project work to support the NHS and ensure quicker access to transanal irrigation (TAI). A part of your role will be to support patients who require transanal irrigation. You will develop and maintain long-term relationships with target accounts to enhance partnerships with the Company, ensuring the provision of expert professional and clinical care using evidence-based practices. As a resource, you will provide expert information, training and advice to healthcare professionals and patients and deliver education and training on the use of the Companys BM products. Staying updated with trends and changes in the NHS is crucial to ensure that the Company strategies align with customer needs. You will monitor activity and data with Territory Managers to ensure efficiency and access to TAI. Additionally, you will coordinate service audit and evaluation activities to maintain standards, service provision, and identify opportunities for improvement. Maintaining a professional portfolio in line with NMC requirements and keeping abreast of clinical developments within the specialty are essential. You will also ensure compliance with CQC registration and clinical governance requirements. The Client is a Market Leading company in intimate healthcare solutions with a strong record for product and service innovation. They work in close Partnership with the NHS and individual healthcare professionals to support and drive the best clinical solutions and services to patients. A people focused organization who offer great career opportunities plus a strong benefits package for staff. Qualifications The ideal candidate will have a minimum of 3 years as a registered General Nurse with a current NMC pin or be a qualified Physiotherapist or Clinical Scientist holding a professional governing body. Full UK Driving Licence Person experience required Strong clinical and commercial acumen. Previous experience in implementing and being involved with strategic project work is essential. Clinical sales experience would be an advantage. Nursing experience related to bowel management is desirable. Ideally experience of service development, including patient pathways and understanding of differing patient types. Account management skills. Excellent communication skills, ability to inspire and engage Healthcare Professionals in the Companys products. Strong organisational and planning skills. The ability to develop and maintain excellent relationships with internal and external teams. A positive can-do attitude A results-oriented mindset. Adaptable to change. Exceptional listening skills. A positive, can-do attitude with a strong desire to succeed. Proficient in Microsoft Office Applications. Demonstrate values aligned to the clients mission, values and vision. To Apply If you are suitable for this position, please send a copy of your CV. Alternatively call the recruitment team at Chemistree Solutions Ltd. Chemistree is a pharmaceutical and healthcare recruitment specialist.
Feb 08, 2025
Full time
Role description Clinical Specialist - Bowel Management. Exciting new opportunity working across East Midlands, West Midlands, Cambridgeshire and Norfolk Role: Bowel Management Specialist Therapy Area: Bowel, Colorectal Location: East Midlands, West Midlands, Cambridgeshire and Norfolk Salary: Highly competitive salary, company car or car allowance, bonus and additional benefits package Hours: Full-time, permanent Role Type: Clinical Advisor, Clinical Specialist; Clinical Nurse Specialist; Nurse Advisor Are you a dedicated clinical professional with a passion for excellence and innovation, driven by Making a Difference to peoples lives, and motivated to support development and growth within a commercial environment? If you are then this opportunity will be of interest to you. This is an exciting role to work as a dedicated Bowel Management Specialist, you will join a successful team and drive clinical excellence for the Companys bowel management solutions. This role involves managing strategic clinical and education activities and services across a designated region. You will be instrumental in developing the Bowel Management (BM) services to support patients having earlier access to the Companys BM solutions. You will have the passion, drive and commitment to deliver specialist bowel care in collaboration with the NHS within the specified region. You will be able to work independently, be self-motivated and have a winning mindset. You will be a strategic thinker who wants to build on your commercial awareness and skill. The successful candidate will be able to display empathy and have an excellent ability to develop trust. To do this you will have excellent communication skills, including listening, interpersonal and influencing skills. In this role you will: Coordinate the delivery of an ethical and professional bowel management service to patients within professional and company guidelines. Collaborate with Territory Managers and the Strategic Partnership Manager to implement clinical strategies across your region. Additionally, you will promote the Company clinical services and solutions, be a key member involved in strategic project work to support the NHS and ensure quicker access to transanal irrigation (TAI). A part of your role will be to support patients who require transanal irrigation. You will develop and maintain long-term relationships with target accounts to enhance partnerships with the Company, ensuring the provision of expert professional and clinical care using evidence-based practices. As a resource, you will provide expert information, training and advice to healthcare professionals and patients and deliver education and training on the use of the Companys BM products. Staying updated with trends and changes in the NHS is crucial to ensure that the Company strategies align with customer needs. You will monitor activity and data with Territory Managers to ensure efficiency and access to TAI. Additionally, you will coordinate service audit and evaluation activities to maintain standards, service provision, and identify opportunities for improvement. Maintaining a professional portfolio in line with NMC requirements and keeping abreast of clinical developments within the specialty are essential. You will also ensure compliance with CQC registration and clinical governance requirements. The Client is a Market Leading company in intimate healthcare solutions with a strong record for product and service innovation. They work in close Partnership with the NHS and individual healthcare professionals to support and drive the best clinical solutions and services to patients. A people focused organization who offer great career opportunities plus a strong benefits package for staff. Qualifications The ideal candidate will have a minimum of 3 years as a registered General Nurse with a current NMC pin or be a qualified Physiotherapist or Clinical Scientist holding a professional governing body. Full UK Driving Licence Person experience required Strong clinical and commercial acumen. Previous experience in implementing and being involved with strategic project work is essential. Clinical sales experience would be an advantage. Nursing experience related to bowel management is desirable. Ideally experience of service development, including patient pathways and understanding of differing patient types. Account management skills. Excellent communication skills, ability to inspire and engage Healthcare Professionals in the Companys products. Strong organisational and planning skills. The ability to develop and maintain excellent relationships with internal and external teams. A positive can-do attitude A results-oriented mindset. Adaptable to change. Exceptional listening skills. A positive, can-do attitude with a strong desire to succeed. Proficient in Microsoft Office Applications. Demonstrate values aligned to the clients mission, values and vision. To Apply If you are suitable for this position, please send a copy of your CV. Alternatively call the recruitment team at Chemistree Solutions Ltd. Chemistree is a pharmaceutical and healthcare recruitment specialist.
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role Capgemini Invent is hiring an experienced Managing Consultant to work in the UK Telco sector. This role will be fundamental in driving forward the transformation of our clients and their customers. We are seeking someone that can inspire client stakeholders and take them on the journey of what is bold and new, while being able to deliver the fundamentals of today, building trust. This role will drive the technology and data vision of our team and the development of that vision with our clients. This is a key role encompassing broad experience across the Telco technology landscape, that ideally would include Mobile, Fixed technologies along with IT (BSS and OSS), with hands-on project delivery/management, as well as some experience in business development/personal sales. This role would suit a technically savvy and commercially minded specialist Telco Architect, who enjoys developing great trust-based client relationships and delivering to them with great consulting solutions. Your Profile Fixed Broadband architecture experience TOGAF certification TMF eTOM and ODA knowledge Experience delivering consulting services in at least one UK CSP Support the creation of leading-edge digital experience for customers and employees Experience of supporting proposition building and delivery Currently working in a major Consulting firm, and/or in industry but having a Consulting background. Business development experience - utilising a combination of the organisation's broader pre-existing relationships, company relationships WHAT YOU'LL LOVE ABOUT WORKING HERE? The Telco sector within Capgemini Invent is at a stage of rapid growth and opportunity, so we are looking for individuals with the passion and ambition to join this wave and make the most of it, as part of a very enthusiastic and energetic team who like to have some fun whilst doing what we like the most. We are delighted to have received the "Glassdoor Best Places to work UK' accolade for 4 consecutive years. NEED TO KNOW At Capgemini we don't just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring your whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. About Capgemini Invent As the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth. Capgemini Invent is an integral part of Capgemini, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. Ref. code: 146637 Posted on: 6 Jan 2025 Experience Level: Experienced Professionals Contract Type: Permanent Location: London, GB; Manchester, GB; Glasgow, GB
Feb 08, 2025
Full time
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role Capgemini Invent is hiring an experienced Managing Consultant to work in the UK Telco sector. This role will be fundamental in driving forward the transformation of our clients and their customers. We are seeking someone that can inspire client stakeholders and take them on the journey of what is bold and new, while being able to deliver the fundamentals of today, building trust. This role will drive the technology and data vision of our team and the development of that vision with our clients. This is a key role encompassing broad experience across the Telco technology landscape, that ideally would include Mobile, Fixed technologies along with IT (BSS and OSS), with hands-on project delivery/management, as well as some experience in business development/personal sales. This role would suit a technically savvy and commercially minded specialist Telco Architect, who enjoys developing great trust-based client relationships and delivering to them with great consulting solutions. Your Profile Fixed Broadband architecture experience TOGAF certification TMF eTOM and ODA knowledge Experience delivering consulting services in at least one UK CSP Support the creation of leading-edge digital experience for customers and employees Experience of supporting proposition building and delivery Currently working in a major Consulting firm, and/or in industry but having a Consulting background. Business development experience - utilising a combination of the organisation's broader pre-existing relationships, company relationships WHAT YOU'LL LOVE ABOUT WORKING HERE? The Telco sector within Capgemini Invent is at a stage of rapid growth and opportunity, so we are looking for individuals with the passion and ambition to join this wave and make the most of it, as part of a very enthusiastic and energetic team who like to have some fun whilst doing what we like the most. We are delighted to have received the "Glassdoor Best Places to work UK' accolade for 4 consecutive years. NEED TO KNOW At Capgemini we don't just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring your whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. About Capgemini Invent As the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth. Capgemini Invent is an integral part of Capgemini, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. Ref. code: 146637 Posted on: 6 Jan 2025 Experience Level: Experienced Professionals Contract Type: Permanent Location: London, GB; Manchester, GB; Glasgow, GB
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role Capgemini Invent are hiring a Senior Consultant to join our team in the UK Telecoms industry. This role will be fundamental to support the transformation of our clients and their customers, helping drive forward visionary directions while delivering tangible results. We are looking for someone who can engage effectively with client stakeholders, support them through bold and innovative journeys, and establish trust by delivering on today's fundamentals, as this role will be integral in shaping and evolving our clients' visions. This role requires hands-on experience of delivering projects across the UK Telco landscape, that ideally includes knowledge of the general operation of a UK Telco, the business processes typically deployed, with ideally some knowledge of the technology landscape across the Mobile, Fixed and IT domains. To do this, we would expect you to have experience in the delivery of projects across the UK Telco landscape. We are especially keen to have colleagues join our team with a solid track record of involvement in driving business and technology transformation in the UK. This is an exciting chance to drive change across the industry, helping client organisations navigate the ever-changing landscape and customer demands. Candidates must have strong interpersonal skills, be customer-focused and be willing to travel on business. In the majority of most cases, assignments will be in the UK and Europe and candidates must have exposure to this geographical area. Your Profile Experience of involvement in the delivery of projects to at least 1 UK telco Some knowledge/understanding of Telco business landscape Some knowledge/understanding of Telco technology landscape Experience in Business Process design Experience of supporting proposition building and delivery Currently working in a major Consulting firm, and/or in industry but having a Consulting background WHAT YOU'LL LOVE ABOUT WORKING HERE? The Telco sector within Capgemini Invent is experiencing rapid growth and presents many opportunities, and we are looking for passionate and ambitious individuals to join our dynamic, energetic team, which values both hard work and having fun. This is an opportunity to join a dynamic team, working on leading-edge solutions for our Telco clients that really make a difference to their business. The nature of our business means that we can not only offer an exciting variety of work, but also the opportunity to develop ideas into a real, tangible services. As consulting professionals, we like nothing better than delivering a solution that provides our clients with a competitive edge. Your wellbeing You'd be joining an accredited Great Place to work for Wellbeing in 2023. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. Shape your path You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more. NEED TO KNOW At Capgemini we don't just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring you whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. About Capgemini Invent As the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth. Capgemini Invent is an integral part of Capgemini, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. Ref. code: 146633 Posted on: 6 Jan 2025 Experience Level: Experienced Professionals Contract Type: Permanent Location: London, GB Glasgow, GB Manchester, GB
Feb 08, 2025
Full time
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role Capgemini Invent are hiring a Senior Consultant to join our team in the UK Telecoms industry. This role will be fundamental to support the transformation of our clients and their customers, helping drive forward visionary directions while delivering tangible results. We are looking for someone who can engage effectively with client stakeholders, support them through bold and innovative journeys, and establish trust by delivering on today's fundamentals, as this role will be integral in shaping and evolving our clients' visions. This role requires hands-on experience of delivering projects across the UK Telco landscape, that ideally includes knowledge of the general operation of a UK Telco, the business processes typically deployed, with ideally some knowledge of the technology landscape across the Mobile, Fixed and IT domains. To do this, we would expect you to have experience in the delivery of projects across the UK Telco landscape. We are especially keen to have colleagues join our team with a solid track record of involvement in driving business and technology transformation in the UK. This is an exciting chance to drive change across the industry, helping client organisations navigate the ever-changing landscape and customer demands. Candidates must have strong interpersonal skills, be customer-focused and be willing to travel on business. In the majority of most cases, assignments will be in the UK and Europe and candidates must have exposure to this geographical area. Your Profile Experience of involvement in the delivery of projects to at least 1 UK telco Some knowledge/understanding of Telco business landscape Some knowledge/understanding of Telco technology landscape Experience in Business Process design Experience of supporting proposition building and delivery Currently working in a major Consulting firm, and/or in industry but having a Consulting background WHAT YOU'LL LOVE ABOUT WORKING HERE? The Telco sector within Capgemini Invent is experiencing rapid growth and presents many opportunities, and we are looking for passionate and ambitious individuals to join our dynamic, energetic team, which values both hard work and having fun. This is an opportunity to join a dynamic team, working on leading-edge solutions for our Telco clients that really make a difference to their business. The nature of our business means that we can not only offer an exciting variety of work, but also the opportunity to develop ideas into a real, tangible services. As consulting professionals, we like nothing better than delivering a solution that provides our clients with a competitive edge. Your wellbeing You'd be joining an accredited Great Place to work for Wellbeing in 2023. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. Shape your path You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more. NEED TO KNOW At Capgemini we don't just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring you whole self to work. We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. About Capgemini Invent As the digital innovation, design and transformation brand of the Capgemini Group, Capgemini Invent enables CxOs to envision and shape the future of their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth. Capgemini Invent is an integral part of Capgemini, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. Ref. code: 146633 Posted on: 6 Jan 2025 Experience Level: Experienced Professionals Contract Type: Permanent Location: London, GB Glasgow, GB Manchester, GB
We offer a flexible working policy that supports the health and well-being of our iManage employees. As an organisation, we value collaborating and learning from our peers in person, while providing the necessary flexibility for our employees to have a meaningful work-life balance. Please reach out to learn more. Being a Senior Legal Knowledge Engineer (LLM) at iManage Means You will be responsible for researching, gathering, and representing the knowledge and information used to benchmark our cognitive services. You work in collaboration with product managers, data scientists, software developers, and other domain experts to ensure that the cognitive services we create perform to the best of their capabilities. At iManage, we are building intelligent automation, intelligent search, and meaningful information architecture into our products, and you can play a keen role in making this happen. iM Responsible For Developing data collections and evaluation methods for LLM evaluation. Designing hypotheses and experiment plans for rapidly iterating on LLM performance. Learning, implementing, and extending state-of-the-art research. Designing and managing the underlying processes and tooling for data acquisition and management, including prompt management. iM Qualified Because I Have Previously worked on evaluating LLM outputs / task performance. Experience in legal content or legal business workflows. Skills in fashioning and manipulating data. An understanding of programming languages commonly used for text data, such as Python. Experience with text extraction, classification or summarisation would be beneficial. Experience in AI data ops or prompt management software. A good grasp of the bigger picture but can also pick apart data in fine detail. A natural curiosity and strong logical thinking in solving problems. A collaborative mindset and commitment to knowledge sharing. iM Getting To Deliver an ambitious program of new LLM-powered cognitive features. Help expand the team's reach to influence all products across the platform. Join a supportive, experienced team with an inclusive, encouraging, and vibrant culture. Have flexible work hours that allow me to balance my 'me time' with my work commitments. Collaborate in a modern open plan workspace, with a gaming area, free snacks, drinks and regular social events. Focus on impactful work, solving complex, real challenges utilising the latest technologies and protocols. Own my career path with our internal development framework. Ask us more about this! Learn new skills and earn certifications with access to unlimited courses in LinkedIn Learning. Join an innovative, industry leading SaaS company that is continuing to grow & scale! iManage is Supporting Me By Creating an inclusive environment where I can help shape the culture not just by fitting in, but by adding to it. Providing a market competitive salary that is applied through a consistent process, equitable for all our employees, and regularly reviewed based on industry data. Rewarding me with an annual performance-based bonus. Providing enhanced parental leave (20 weeks for primary and 10 weeks for secondary caregiver at 100% pay) Matching my pension contribution (up to 6%) Offering BUPA private medical insurance & a Simplyhealth cash plan to help with the everyday costs. Providing Group life cover (including life insurance, income protection and critical illness protection). Encouraging me to take time off with 25 days annual leave, bank holidays, and other life events. Caring for my mental health and well-being with multiple company wellness days and free access to the Healthy Minds app for mindfulness, meditation and more. About iManage iManage is dedicated to Making Knowledge WorkTM. Over one million professionals across 65+ countries rely on our intelligent, cloud-enabled, secure knowledge work platform to uncover and activate the knowledge that exists inside their business content and communications. We are continuously innovating to solve the most complex professional challenges and enable better business outcomes; Our work is not always easy but it is ambitious and rewarding. So we're looking for people who love a challenge. People who are happiest when they're solving problems and collaborating with the industry's best and brightest. That's the iManage way. It's how we do things that might appear impossible. How we develop our employees' strengths and unlock their potential. How we find meaning in everything we do. Whoever you are, whatever you do, however you work. Make it mean something at iManage. Learn more at: Please see our privacy statement for more information on how we handle your personal data:
Feb 07, 2025
Full time
We offer a flexible working policy that supports the health and well-being of our iManage employees. As an organisation, we value collaborating and learning from our peers in person, while providing the necessary flexibility for our employees to have a meaningful work-life balance. Please reach out to learn more. Being a Senior Legal Knowledge Engineer (LLM) at iManage Means You will be responsible for researching, gathering, and representing the knowledge and information used to benchmark our cognitive services. You work in collaboration with product managers, data scientists, software developers, and other domain experts to ensure that the cognitive services we create perform to the best of their capabilities. At iManage, we are building intelligent automation, intelligent search, and meaningful information architecture into our products, and you can play a keen role in making this happen. iM Responsible For Developing data collections and evaluation methods for LLM evaluation. Designing hypotheses and experiment plans for rapidly iterating on LLM performance. Learning, implementing, and extending state-of-the-art research. Designing and managing the underlying processes and tooling for data acquisition and management, including prompt management. iM Qualified Because I Have Previously worked on evaluating LLM outputs / task performance. Experience in legal content or legal business workflows. Skills in fashioning and manipulating data. An understanding of programming languages commonly used for text data, such as Python. Experience with text extraction, classification or summarisation would be beneficial. Experience in AI data ops or prompt management software. A good grasp of the bigger picture but can also pick apart data in fine detail. A natural curiosity and strong logical thinking in solving problems. A collaborative mindset and commitment to knowledge sharing. iM Getting To Deliver an ambitious program of new LLM-powered cognitive features. Help expand the team's reach to influence all products across the platform. Join a supportive, experienced team with an inclusive, encouraging, and vibrant culture. Have flexible work hours that allow me to balance my 'me time' with my work commitments. Collaborate in a modern open plan workspace, with a gaming area, free snacks, drinks and regular social events. Focus on impactful work, solving complex, real challenges utilising the latest technologies and protocols. Own my career path with our internal development framework. Ask us more about this! Learn new skills and earn certifications with access to unlimited courses in LinkedIn Learning. Join an innovative, industry leading SaaS company that is continuing to grow & scale! iManage is Supporting Me By Creating an inclusive environment where I can help shape the culture not just by fitting in, but by adding to it. Providing a market competitive salary that is applied through a consistent process, equitable for all our employees, and regularly reviewed based on industry data. Rewarding me with an annual performance-based bonus. Providing enhanced parental leave (20 weeks for primary and 10 weeks for secondary caregiver at 100% pay) Matching my pension contribution (up to 6%) Offering BUPA private medical insurance & a Simplyhealth cash plan to help with the everyday costs. Providing Group life cover (including life insurance, income protection and critical illness protection). Encouraging me to take time off with 25 days annual leave, bank holidays, and other life events. Caring for my mental health and well-being with multiple company wellness days and free access to the Healthy Minds app for mindfulness, meditation and more. About iManage iManage is dedicated to Making Knowledge WorkTM. Over one million professionals across 65+ countries rely on our intelligent, cloud-enabled, secure knowledge work platform to uncover and activate the knowledge that exists inside their business content and communications. We are continuously innovating to solve the most complex professional challenges and enable better business outcomes; Our work is not always easy but it is ambitious and rewarding. So we're looking for people who love a challenge. People who are happiest when they're solving problems and collaborating with the industry's best and brightest. That's the iManage way. It's how we do things that might appear impossible. How we develop our employees' strengths and unlock their potential. How we find meaning in everything we do. Whoever you are, whatever you do, however you work. Make it mean something at iManage. Learn more at: Please see our privacy statement for more information on how we handle your personal data:
Senior Seismoacoustic Scientist Location: RG7 4RS , located between Reading and Basingstoke, with free onsite parking . Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Blacknest. Package: £46,130 - £65,000, (depending on your suitability, qualifications, and level of experience). Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role We are looking to recruit a Senior Seismoacoustic Scientist to work on the Nuclear Treaty Verification programme , supporting AWE's national nuclear security role. Since May 1962, the Eskdalemuir (EKA) seismic array has been in operation, providing AWE with a near-complete library of seismograms from the entire period of underground testing. As part of a team advising the UK Government on the technical verification of the Comprehensive Nuclear-Test-Ban Treaty (CTBT) , you will analyse data and carry out research to ensure our monitoring facilities are protected from seismic noise, balancing technical work, stakeholders, policy development and legal challenges, in addition to gaining a broad understanding of the wider context in which we operate. Main duties and responsibilities: Enhance our capability to assess CTBT relevant events through safeguarding our monitoring facilities Provide technical expertise including assessment and modelling of data, to develop the scientific and engineering evidence to support policy development Prepare and present professional-quality presentations and technical reports to technical peers, management and external stakeholders Participate in national and international collaborative work Who are we looking for? Whilst not to be considered a tick list, we'd like you to have experience in some of the following: A first degree or higher in a physical or mathematical science, or engineering (or equivalent experience) Experience of monitoring of low frequency noise and vibration Extensive experience of technical projects and delivery Strongly numerate with a strong analytical background Understanding of generation of seismoacoustic signals from vibrating structures Experience of signal processing and modelling, including the interpretation and manipulation of Power Spectral Density estimates and frequency analysis. Experience of managing and analysing large data sets Knowledge of one or more computer programming or scripting languages and demonstrate the ability to implement your own algorithms Able to work independently and unsupervised, as well as within a team to achieve common goals Ability to communicate clearly and effectively verbally and in writing, including dealing with stakeholder challenges Knowledge of source and propagation terms, including attenuation We are keen to hear from highly motivated individuals with excellent time-management, communication and presentation skills. You will also be comfortable working in diverse teams with differing technical skills and backgrounds. Some UK and or overseas travel may be involved. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. Relocation Assistance (terms & conditions apply). The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.
Feb 06, 2025
Full time
Senior Seismoacoustic Scientist Location: RG7 4RS , located between Reading and Basingstoke, with free onsite parking . Due to the classified nature of the work involved, there are limited opportunities to work from home in this role. It is anticipated that the successful candidate will spend the majority of their time working on site at AWE Blacknest. Package: £46,130 - £65,000, (depending on your suitability, qualifications, and level of experience). Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application. Let us introduce the role We are looking to recruit a Senior Seismoacoustic Scientist to work on the Nuclear Treaty Verification programme , supporting AWE's national nuclear security role. Since May 1962, the Eskdalemuir (EKA) seismic array has been in operation, providing AWE with a near-complete library of seismograms from the entire period of underground testing. As part of a team advising the UK Government on the technical verification of the Comprehensive Nuclear-Test-Ban Treaty (CTBT) , you will analyse data and carry out research to ensure our monitoring facilities are protected from seismic noise, balancing technical work, stakeholders, policy development and legal challenges, in addition to gaining a broad understanding of the wider context in which we operate. Main duties and responsibilities: Enhance our capability to assess CTBT relevant events through safeguarding our monitoring facilities Provide technical expertise including assessment and modelling of data, to develop the scientific and engineering evidence to support policy development Prepare and present professional-quality presentations and technical reports to technical peers, management and external stakeholders Participate in national and international collaborative work Who are we looking for? Whilst not to be considered a tick list, we'd like you to have experience in some of the following: A first degree or higher in a physical or mathematical science, or engineering (or equivalent experience) Experience of monitoring of low frequency noise and vibration Extensive experience of technical projects and delivery Strongly numerate with a strong analytical background Understanding of generation of seismoacoustic signals from vibrating structures Experience of signal processing and modelling, including the interpretation and manipulation of Power Spectral Density estimates and frequency analysis. Experience of managing and analysing large data sets Knowledge of one or more computer programming or scripting languages and demonstrate the ability to implement your own algorithms Able to work independently and unsupervised, as well as within a team to achieve common goals Ability to communicate clearly and effectively verbally and in writing, including dealing with stakeholder challenges Knowledge of source and propagation terms, including attenuation We are keen to hear from highly motivated individuals with excellent time-management, communication and presentation skills. You will also be comfortable working in diverse teams with differing technical skills and backgrounds. Some UK and or overseas travel may be involved. Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include: 9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions). Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay. Opportunities for Professional Career Development including funding for annual membership of a relevant professional body. Employee Assistance Programme and Occupational Health Services. Life Assurance (4 x annual salary). Discounts - access to savings on a wide range of everyday spending. Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring. Relocation Assistance (terms & conditions apply). The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.
Data Scientist - Ops Hybrid in London, UK We're looking for a Data Scientist As a data scientist in our Operations Strategy team, you'll help us use data-driven insights to make strategic improvements to the service our Operations teams provide to our customers. The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The role As a Data Scientist in our Operations Strategy team, the data-driven insights that you produce will help us make strategic improvements to our ways of working in our UK and Germany Operations teams (currently c.180 people, across London, Leeds, and Frankfurt). You will play a crucial role working to set up and analyse tests, and to build statistical models which will allow us to better understand the value of the work carried out by our Operations teams. This allows us to continue improving the efficiency and effectiveness of our Operations teams, all while maintaining an exceptional level of customer service. Strategy and innovation: You'll work very closely with the Head of Operations Strategy, Operations staff and other stakeholders to ensure that your work aligns closely with business goals and achieves valuable commercial outcomes. Design experiments to compare the performance of different strategies and evaluate them rigorously to make unbiased decisions. Share your findings and modelling with the wider business to impact our strategy. We live and breathe data as a company, so Data Scientists have a key role in the decision-making. Ownership and influence: Independently build data science solutions and statistical models to solve our business problems, with full responsibility in the solution design. Promote analytical rigour within the team, ensuring that our experimental designs are correctly defined and that we evaluate tests without bias. In-depth expertise: Join our community of Analysts/Data Scientists/Statisticians to ensure alignment in methodology across iwoca. You'll be part of a peer group with whom you can discuss best practices or the latest advances so that you share and deepen your technical expertise. Build deep expertise in Operations processes across the full range of the customer journey, from signup through to collections. The projects Here are some examples of projects you might work on: Setting up, monitoring and analysing split tests, to help understand the value of operations activities. This could include determining the ROI of different types of outbound calls that are made by our Account Managers and using this to prioritise these calls effectively to maximise the effectiveness of the team. Building predictive models based on customer satisfaction data, to determine whether changes that are made to operations' processes genuinely improve customer satisfaction. Building statistical models to enhance the ability of operations teams to do accurate forecasting and capacity planning. The requirements Essential: A PhD in a relevant numerate discipline or previous experience in solving business problems in industry with statistics or machine learning techniques. Ability to dive deep into the business context and translate data into actionable insights. Strong problem-solving skills in probability and statistics. Proficiency with data manipulation and modelling tools, for example, pandas, statsmodels, and R. Self-driven with the capability to efficiently manage projects end-to-end. Excellent communication skills, you tailor your communication style and the technical detail according to your audience. Bonus: Python experience (we mostly work in Python). Experience with experimental design and Bayesian analysis. The salary The salary range is £60,000 - £90,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, and Frankfurt with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits Flexible working. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to emotional and mental health support. 3% Pension contributions and share options. Generous parental leave and a nursery tax benefit scheme to help you save money. Cycle-to-work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse.
Feb 06, 2025
Full time
Data Scientist - Ops Hybrid in London, UK We're looking for a Data Scientist As a data scientist in our Operations Strategy team, you'll help us use data-driven insights to make strategic improvements to the service our Operations teams provide to our customers. The company Fast, flexible finance empowers small businesses to manage their cash flow better and seize opportunities - making their business and the economy stronger as a whole. At iwoca, we do just that. We help businesses get the funds they need, when they need it, often within minutes. We've already made several billion in funding available to more than 100,000 businesses since we launched in 2012, and positioned ourselves as a leading Fintech in Europe. Our mission is to finance one million businesses. We'll get there by continuing to make our finance ever more relevant and accessible to more businesses by combining cutting-edge technology, data science, and a 5-star customer service. The role As a Data Scientist in our Operations Strategy team, the data-driven insights that you produce will help us make strategic improvements to our ways of working in our UK and Germany Operations teams (currently c.180 people, across London, Leeds, and Frankfurt). You will play a crucial role working to set up and analyse tests, and to build statistical models which will allow us to better understand the value of the work carried out by our Operations teams. This allows us to continue improving the efficiency and effectiveness of our Operations teams, all while maintaining an exceptional level of customer service. Strategy and innovation: You'll work very closely with the Head of Operations Strategy, Operations staff and other stakeholders to ensure that your work aligns closely with business goals and achieves valuable commercial outcomes. Design experiments to compare the performance of different strategies and evaluate them rigorously to make unbiased decisions. Share your findings and modelling with the wider business to impact our strategy. We live and breathe data as a company, so Data Scientists have a key role in the decision-making. Ownership and influence: Independently build data science solutions and statistical models to solve our business problems, with full responsibility in the solution design. Promote analytical rigour within the team, ensuring that our experimental designs are correctly defined and that we evaluate tests without bias. In-depth expertise: Join our community of Analysts/Data Scientists/Statisticians to ensure alignment in methodology across iwoca. You'll be part of a peer group with whom you can discuss best practices or the latest advances so that you share and deepen your technical expertise. Build deep expertise in Operations processes across the full range of the customer journey, from signup through to collections. The projects Here are some examples of projects you might work on: Setting up, monitoring and analysing split tests, to help understand the value of operations activities. This could include determining the ROI of different types of outbound calls that are made by our Account Managers and using this to prioritise these calls effectively to maximise the effectiveness of the team. Building predictive models based on customer satisfaction data, to determine whether changes that are made to operations' processes genuinely improve customer satisfaction. Building statistical models to enhance the ability of operations teams to do accurate forecasting and capacity planning. The requirements Essential: A PhD in a relevant numerate discipline or previous experience in solving business problems in industry with statistics or machine learning techniques. Ability to dive deep into the business context and translate data into actionable insights. Strong problem-solving skills in probability and statistics. Proficiency with data manipulation and modelling tools, for example, pandas, statsmodels, and R. Self-driven with the capability to efficiently manage projects end-to-end. Excellent communication skills, you tailor your communication style and the technical detail according to your audience. Bonus: Python experience (we mostly work in Python). Experience with experimental design and Bayesian analysis. The salary The salary range is £60,000 - £90,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a brilliant place to work: Offices in London, Leeds, and Frankfurt with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, yoga classes, football, etc. The benefits Flexible working. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to emotional and mental health support. 3% Pension contributions and share options. Generous parental leave and a nursery tax benefit scheme to help you save money. Cycle-to-work scheme and electric car scheme. Two company retreats a year, we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse.
About the role We are looking for an experienced data consultant to lead projects for our clients in the food service & manufacturing industry. This role will sit within the Professional Services team, reporting to the Head of Professional Services. Your role will include the following key responsibilities: Leading Technical Data Projects for Food Companies We are working with a number of large food companies to help them measure, report and manage their carbon emissions and other environmental impacts, including corporate scope 3 reporting, life cycle assessments of food products and recipes, and development of net-zero strategies and transition plans. You will lead the delivery of technical data-analysis centric assignments with these clients. This will involve preparing, handling, analysing and drawing insights from their data, to inform key recommendations and shape their strategies. You must be comfortable working with data using scripts, query languages, and a suite of standard and bespoke data analytics packages, techniques and applications. It will also involve working with our in-house data scientists and engineers to optimise the use of our platform, database and advanced set of bespoke, in-house data tools to deliver for our clients with excellence and efficiency. Leading on Client Engagement You will lead strategic engagements with our clients to help them deliver against their ongoing sustainability commitments, rooted in data, and evidence-based research. For many of our clients, this will go beyond compliance, and will require you to provide expert advice and guidance on how the sustainability data we have should inform and align with their broader sustainability goals, objectives and targets. You will be responsible for managing and strengthening client relationships. You will act as the primary point of contact from initial scoping to final delivery, gaining a deep understanding of their sustainability data, infrastructure and processes, and their wider goals and challenges, and you will work collaboratively with stakeholders to tailor strategic and actionable solutions that align with the clients' unique objectives, and identifying opportunities for future projects. Managing and Developing our Team As a lead consultant, you will be responsible for leading and managing delivery teams on consulting projects, ensuring the successful delivery of technical assignments rooted in data. You will provide strategic direction on projects, oversee project timelines, and allocate resources to meet client objectives, bringing in experts from our science and data teams as required. A key aspect of your role will be developing junior staff, fostering their growth through mentoring, coaching, knowledge sharing, and hands-on training (with a particular focus on data manipulation and analysis techniques). You will create opportunities for them to take on increasing responsibility, while providing constructive feedback and supporting their professional development. About Foodsteps Foodsteps is on a mission to empower the food industry to accelerate its journey to net zero. Our specialised food sustainability platform provides instant access to industry-leading data and insights that food services companies and food manufacturers can trust to accurately measure, reduce and report their environmental impact. With Foodsteps, businesses reduce the costs and risks of their net zero transition, and improve sales as a result. Our Services Food systems account for nearly a third of global greenhouse gas emissions and are the leading driver of biodiversity loss. In order to avoid the catastrophic consequences from both the climate and ecological crises, we must bring positive change to our food systems-fast. Foodsteps works with food businesses to measure, reduce, and report their environmental impact. We help our clients calculate product footprints (carbon, land, and water impact); measure and report their corporate GHG emissions; use carbon labels and food stories to educate customers and make robust, evidence-based claims; and define and achieve their sustainability objectives. The Foodsteps Professional Services team complement our self-service platform and database by offering our clients a wide range of consulting services, including detailed life cycle assessments of food products; hands-on calculations and reporting support for assessments including CSRD, SECR and SBTi; and developing sustainability strategies to help them progress towards net zero. Must haves 10+ years of experience working in a consulting environment Experience leading consulting projects, delivering evidence based insights and actionable recommendations on strategic direction and implementation roadmaps, informed by technical analysis of data Experience conducting and leading insightful analysis of large datasets, and working with programming languages such as Python, R or SQL Experience working alongside data scientists and software engineers to develop new/improved tools The ability to lead client-facing projects independently, including managing relationships with and presenting to senior client stakeholders Experience with picking up new concepts, methodologies and tools quickly in a fast-paced environment Experience coordinating and leading multi-disciplinary delivery teams Experience leading a team of junior staff, and contributing to their continuous professional development through mentorship or coaching Highly motivated, able to take initiative and be efficient in performing tasks with an eye for detail in the data Passion for the Foodsteps' mission, working with data, the food industry and a drive for sustainability Great communication skills Nice to haves Experience conducting carbon reporting assessments for corporate clients to GHG Protocol standard Familiarity with wider existing and upcoming sustainability standards, such as SBTi (including FLAG), CSRD Experience in and a knowledge of the food sector, and associated supply chains Line management experience Salary, Location and Benefits £65,000-80,000 salary, and participation in Company Bonus Scheme Full range of benefits that Foodsteps offers including 27 paid holiday days, flexible working, volunteering days, and climate perks travel days. Welcoming office in Whitechapel, London with a variety of working spaces. Based in the UK, in the office at least quarterly for team days, with some flexibility around heading into our office for other workshops and meetings. Additionally, flexibility to attend client meetings, likely to be in/around the London area approximately monthly, although frequency is project dependent.
Feb 06, 2025
Full time
About the role We are looking for an experienced data consultant to lead projects for our clients in the food service & manufacturing industry. This role will sit within the Professional Services team, reporting to the Head of Professional Services. Your role will include the following key responsibilities: Leading Technical Data Projects for Food Companies We are working with a number of large food companies to help them measure, report and manage their carbon emissions and other environmental impacts, including corporate scope 3 reporting, life cycle assessments of food products and recipes, and development of net-zero strategies and transition plans. You will lead the delivery of technical data-analysis centric assignments with these clients. This will involve preparing, handling, analysing and drawing insights from their data, to inform key recommendations and shape their strategies. You must be comfortable working with data using scripts, query languages, and a suite of standard and bespoke data analytics packages, techniques and applications. It will also involve working with our in-house data scientists and engineers to optimise the use of our platform, database and advanced set of bespoke, in-house data tools to deliver for our clients with excellence and efficiency. Leading on Client Engagement You will lead strategic engagements with our clients to help them deliver against their ongoing sustainability commitments, rooted in data, and evidence-based research. For many of our clients, this will go beyond compliance, and will require you to provide expert advice and guidance on how the sustainability data we have should inform and align with their broader sustainability goals, objectives and targets. You will be responsible for managing and strengthening client relationships. You will act as the primary point of contact from initial scoping to final delivery, gaining a deep understanding of their sustainability data, infrastructure and processes, and their wider goals and challenges, and you will work collaboratively with stakeholders to tailor strategic and actionable solutions that align with the clients' unique objectives, and identifying opportunities for future projects. Managing and Developing our Team As a lead consultant, you will be responsible for leading and managing delivery teams on consulting projects, ensuring the successful delivery of technical assignments rooted in data. You will provide strategic direction on projects, oversee project timelines, and allocate resources to meet client objectives, bringing in experts from our science and data teams as required. A key aspect of your role will be developing junior staff, fostering their growth through mentoring, coaching, knowledge sharing, and hands-on training (with a particular focus on data manipulation and analysis techniques). You will create opportunities for them to take on increasing responsibility, while providing constructive feedback and supporting their professional development. About Foodsteps Foodsteps is on a mission to empower the food industry to accelerate its journey to net zero. Our specialised food sustainability platform provides instant access to industry-leading data and insights that food services companies and food manufacturers can trust to accurately measure, reduce and report their environmental impact. With Foodsteps, businesses reduce the costs and risks of their net zero transition, and improve sales as a result. Our Services Food systems account for nearly a third of global greenhouse gas emissions and are the leading driver of biodiversity loss. In order to avoid the catastrophic consequences from both the climate and ecological crises, we must bring positive change to our food systems-fast. Foodsteps works with food businesses to measure, reduce, and report their environmental impact. We help our clients calculate product footprints (carbon, land, and water impact); measure and report their corporate GHG emissions; use carbon labels and food stories to educate customers and make robust, evidence-based claims; and define and achieve their sustainability objectives. The Foodsteps Professional Services team complement our self-service platform and database by offering our clients a wide range of consulting services, including detailed life cycle assessments of food products; hands-on calculations and reporting support for assessments including CSRD, SECR and SBTi; and developing sustainability strategies to help them progress towards net zero. Must haves 10+ years of experience working in a consulting environment Experience leading consulting projects, delivering evidence based insights and actionable recommendations on strategic direction and implementation roadmaps, informed by technical analysis of data Experience conducting and leading insightful analysis of large datasets, and working with programming languages such as Python, R or SQL Experience working alongside data scientists and software engineers to develop new/improved tools The ability to lead client-facing projects independently, including managing relationships with and presenting to senior client stakeholders Experience with picking up new concepts, methodologies and tools quickly in a fast-paced environment Experience coordinating and leading multi-disciplinary delivery teams Experience leading a team of junior staff, and contributing to their continuous professional development through mentorship or coaching Highly motivated, able to take initiative and be efficient in performing tasks with an eye for detail in the data Passion for the Foodsteps' mission, working with data, the food industry and a drive for sustainability Great communication skills Nice to haves Experience conducting carbon reporting assessments for corporate clients to GHG Protocol standard Familiarity with wider existing and upcoming sustainability standards, such as SBTi (including FLAG), CSRD Experience in and a knowledge of the food sector, and associated supply chains Line management experience Salary, Location and Benefits £65,000-80,000 salary, and participation in Company Bonus Scheme Full range of benefits that Foodsteps offers including 27 paid holiday days, flexible working, volunteering days, and climate perks travel days. Welcoming office in Whitechapel, London with a variety of working spaces. Based in the UK, in the office at least quarterly for team days, with some flexibility around heading into our office for other workshops and meetings. Additionally, flexibility to attend client meetings, likely to be in/around the London area approximately monthly, although frequency is project dependent.