Are you a data science leader with a passion for economics? A leading economics consultancy is looking for a Head of Data Science to join its European-wide team and spearhead its capabilities in this space. You'll have the opportunity to build a team and shape the company's data science strategy as they incorporate complex machine learning, big data sets, and artificial intelligence to guide key economic decisions. Company This leading economics consultancy helps clients in Europe make sense of their markets by offering clear, honest advice based on complex analysis and techniques. They've grown a lot since the company started and now have 450+ experts in 7 European offices. Data is the new goldmine of opportunities, but it takes expertise to turn it into valuable insights. This data science team are experts at finding, managing, and analysing data to give the insights their clients need. With extensive experience in econometrics, statistics and machine learning, their multidisciplinary team navigates this sea of information and turns it into valuable insights. Key Benefits of Senior Data Scientist The total package is up to £500,000 depending on experience The opportunity to take ownership of building the data science team and overall data science and analytics strategy To join a leading economics consultancy with one of the best brands in this space Role Requirements This is a brand-new role, and this economics consultancy is excited to build its capabilities in the field of data science. We're talking about complex machine learning, big data sets, and AI to guide economic decisions. As the Head of Data Science, you'll oversee setting up, growing, and managing their data science offering across Europe. With your extensive knowledge of data science and analytics, strategic vision, and can-do attitude, you'll be key in driving the growth of this firm, promoting best practices, and delivering exceptional service for its clients. This is a unique opportunity to shape the future of a leading economics consultancy and make a real impact on the industry. So, if you're up for a new challenge, and want to help take their data science game to the next level, let's talk. As the Head of Data Science, you will Lead a team of data scientists and be responsible for building and managing the data science function Develop and implement the company's data science strategy, leveraging machine learning, big data, and AI to inform economic decisions Collaborate with other departments to identify new opportunities and uses for data science Stay up-to-date with the latest trends and advancements in data science and AI to ensure the company is using the most effective techniques Use your knowledge of econometrics and statistics to provide data-led insight to clients The ideal candidate will have A PhD or Master's degree in a relevant field such as statistics, econometrics, mathematics, or computer science A proven track record of leading data science teams in an economic consultancy or similar organisation Strong knowledge of statistics, analytics, econometrics or machine learning Strong leadership and management skills Excellent communication and presentation skills If you're excited about the opportunity to lead the data science function at a leading economics consultancy and shape the direction of the company, we want to hear from you. Apply for this job By applying to this advert you agree to your personal details being held on file in relation to this and other future relevant opportunities.
May 18, 2024
Full time
Are you a data science leader with a passion for economics? A leading economics consultancy is looking for a Head of Data Science to join its European-wide team and spearhead its capabilities in this space. You'll have the opportunity to build a team and shape the company's data science strategy as they incorporate complex machine learning, big data sets, and artificial intelligence to guide key economic decisions. Company This leading economics consultancy helps clients in Europe make sense of their markets by offering clear, honest advice based on complex analysis and techniques. They've grown a lot since the company started and now have 450+ experts in 7 European offices. Data is the new goldmine of opportunities, but it takes expertise to turn it into valuable insights. This data science team are experts at finding, managing, and analysing data to give the insights their clients need. With extensive experience in econometrics, statistics and machine learning, their multidisciplinary team navigates this sea of information and turns it into valuable insights. Key Benefits of Senior Data Scientist The total package is up to £500,000 depending on experience The opportunity to take ownership of building the data science team and overall data science and analytics strategy To join a leading economics consultancy with one of the best brands in this space Role Requirements This is a brand-new role, and this economics consultancy is excited to build its capabilities in the field of data science. We're talking about complex machine learning, big data sets, and AI to guide economic decisions. As the Head of Data Science, you'll oversee setting up, growing, and managing their data science offering across Europe. With your extensive knowledge of data science and analytics, strategic vision, and can-do attitude, you'll be key in driving the growth of this firm, promoting best practices, and delivering exceptional service for its clients. This is a unique opportunity to shape the future of a leading economics consultancy and make a real impact on the industry. So, if you're up for a new challenge, and want to help take their data science game to the next level, let's talk. As the Head of Data Science, you will Lead a team of data scientists and be responsible for building and managing the data science function Develop and implement the company's data science strategy, leveraging machine learning, big data, and AI to inform economic decisions Collaborate with other departments to identify new opportunities and uses for data science Stay up-to-date with the latest trends and advancements in data science and AI to ensure the company is using the most effective techniques Use your knowledge of econometrics and statistics to provide data-led insight to clients The ideal candidate will have A PhD or Master's degree in a relevant field such as statistics, econometrics, mathematics, or computer science A proven track record of leading data science teams in an economic consultancy or similar organisation Strong knowledge of statistics, analytics, econometrics or machine learning Strong leadership and management skills Excellent communication and presentation skills If you're excited about the opportunity to lead the data science function at a leading economics consultancy and shape the direction of the company, we want to hear from you. Apply for this job By applying to this advert you agree to your personal details being held on file in relation to this and other future relevant opportunities.
Do you have a passion for developing new medicines? SRG are seeking a highly motivated Senior Formulation Scientist to join an growing team. In this key role, you will play a pivotal role in the development of new and existing drug products, ensuring they are safe and effective for patients. What you will do: Develop formulations and processes for various dosage forms, including tablets, capsules, liquids, and semi-solids.Operate laboratory and pilot-scale equipment to conduct experiments and gather data.Design experimental plans, analyse data, and write comprehensive development reports.Collaborate with colleagues to find solutions to problems related to ongoing and new projects.Assist in introducing new equipment and participate in equipment qualification activities.Contribute to quality risk assessments and process validation efforts.Ensure GMP compliance in all development and manufacturing activities.Transfer formulation knowledge from development to GMP operations for smooth production.Liaise with production teams to ensure safe and effective manufacturing practices.Maintain clear communication with other departments to keep everyone informed.Work collaboratively within a team environment to deliver on client projects. You are a perfect fit if you have: A bachelor's degree (or equivalent) in a science or related technical field.Experience in formulation development of solid oral dosage forms, with knowledge of processes like wet granulation, encapsulation, and tabletting.Experience in optimising manufacturing processes for scale-up from lab to production.Experience with GMP documentation and working in the pharmaceutical industry (a plus).Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).Excellent written and verbal communication skills, with fluency in English.The ability to work independently and contribute effectively in a team setting.Strong analytical and problem-solving skills with a focus on root cause analysis.Excellent project management, organisation, and planning skills. This role offers: The opportunity to make a real difference in the development of life-saving medicines.A dynamic and collaborative work environment.The chance to work with cutting-edge technologies and processes.Competitive salary and benefits package. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
May 18, 2024
Full time
Do you have a passion for developing new medicines? SRG are seeking a highly motivated Senior Formulation Scientist to join an growing team. In this key role, you will play a pivotal role in the development of new and existing drug products, ensuring they are safe and effective for patients. What you will do: Develop formulations and processes for various dosage forms, including tablets, capsules, liquids, and semi-solids.Operate laboratory and pilot-scale equipment to conduct experiments and gather data.Design experimental plans, analyse data, and write comprehensive development reports.Collaborate with colleagues to find solutions to problems related to ongoing and new projects.Assist in introducing new equipment and participate in equipment qualification activities.Contribute to quality risk assessments and process validation efforts.Ensure GMP compliance in all development and manufacturing activities.Transfer formulation knowledge from development to GMP operations for smooth production.Liaise with production teams to ensure safe and effective manufacturing practices.Maintain clear communication with other departments to keep everyone informed.Work collaboratively within a team environment to deliver on client projects. You are a perfect fit if you have: A bachelor's degree (or equivalent) in a science or related technical field.Experience in formulation development of solid oral dosage forms, with knowledge of processes like wet granulation, encapsulation, and tabletting.Experience in optimising manufacturing processes for scale-up from lab to production.Experience with GMP documentation and working in the pharmaceutical industry (a plus).Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).Excellent written and verbal communication skills, with fluency in English.The ability to work independently and contribute effectively in a team setting.Strong analytical and problem-solving skills with a focus on root cause analysis.Excellent project management, organisation, and planning skills. This role offers: The opportunity to make a real difference in the development of life-saving medicines.A dynamic and collaborative work environment.The chance to work with cutting-edge technologies and processes.Competitive salary and benefits package. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
Site Name: London The Stanley Building Posted Date: May At GSK we see a world in which advanced applications of machine learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of machine learning and AI. If that excites you, we'd love to chat. The AI/ML Sequence Learning Team applies machine learning and AI methods to biological sequence (DNA, RNA, protein) data from large-scale human genetic, functional genomic and single cell experiments. Models operating directly on sequence data that can infer how variants alter protein/RNA abundance, structure and function have the potential to be transformative in drug discovery, empowering us to find new life saving medicines. We are looking for a Senior AI/ML Engineer to help us make this vision a reality. Competitive candidates will have a track record in developing SOTA deep learning models for solving challenging real world scientific problems. You should be an outstanding scientist with in-depth knowledge in modern machine learning. You can convert vaguely described biological/drug discovery challenges into well-defined machine learning problem. You can independently execute and deliver full AI/ML driven solution from sourcing training data, design and implementing SOTA machine learning models, testing, benchmark and product driven research for model performance improvement, to shipping stable, tested, performant code and services in an agile environment. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. In this role you will Design and implement novel scientific approaches to uncover and explain key relationships within a multitude of biological data types. Leverage data and insights to produce robust, explainable, and accurate predictions across a variety of key biological and clinical tasks. Connect and collaborate with subject matter experts in biology, genomics, and medicine. Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models. Develop and embed automated processes for predictive model validation, deployment, and implementation. Deploy your algorithms to production to identify actionable insights from large databases. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Graduate studies in Computer Science or Applied Math, undergraduate studies in Computer Science and relevant graduate studies in the life sciences with a focus on AI/ML techniques, or undergraduate studies in Computer Science and equivalent work history. Candidates with graduate studies in CS and biological sciences or equivalent work history will be highly competitive. Highly experienced in developing deep learning models. An outstanding scientist, machine learning engineer, and software engineer. Demonstrate expertise and depth in at least one area and breadth across your expertise. Proficiency with standard deep learning algorithms and model architectures. Familiarity with current deep learning literature and math of machine learning. In depth knowledge in machine learning best practices, scalable training and deployment, model introspection and evaluation. Advanced level in PyTorch, Tensorflow, or other deep learning frameworks. Highly experienced/accomplished in software engineering with advanced skills in python and/or C++ Experience with devops stacks: version control, CI/CD, containerization, etc. At least one peer reviewed publication. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: PhD in Machine Learning and peer reviewed publications in major AI conferences. Knowledge in disease biology, molecular biology and biochemistry. Experience with biological data (e.g., genomics, transcriptomics, epigenomics, proteomics). Experience in design, development and deployment of commercial AI/ML software. Track record of contributing to open-source projects. Mentality of commit early and often, metrics before models, and shipping high quality production code. Ready to embark on an exhilarating journey where your skills and passion can make a real difference? Apply now and be part of our team driving innovation at the intersection of AI and healthcare. Together, let's shape the future of medicine and transform lives for the better. Closing Date for Applications: Monday 29th April 2024 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on or . Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a UK Recruitment FAQ guide. Click the link and scroll to the Careers Section where you will find answers to multiple questions we receive . As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK . click apply for full job details
May 18, 2024
Full time
Site Name: London The Stanley Building Posted Date: May At GSK we see a world in which advanced applications of machine learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of machine learning and AI. If that excites you, we'd love to chat. The AI/ML Sequence Learning Team applies machine learning and AI methods to biological sequence (DNA, RNA, protein) data from large-scale human genetic, functional genomic and single cell experiments. Models operating directly on sequence data that can infer how variants alter protein/RNA abundance, structure and function have the potential to be transformative in drug discovery, empowering us to find new life saving medicines. We are looking for a Senior AI/ML Engineer to help us make this vision a reality. Competitive candidates will have a track record in developing SOTA deep learning models for solving challenging real world scientific problems. You should be an outstanding scientist with in-depth knowledge in modern machine learning. You can convert vaguely described biological/drug discovery challenges into well-defined machine learning problem. You can independently execute and deliver full AI/ML driven solution from sourcing training data, design and implementing SOTA machine learning models, testing, benchmark and product driven research for model performance improvement, to shipping stable, tested, performant code and services in an agile environment. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. In this role you will Design and implement novel scientific approaches to uncover and explain key relationships within a multitude of biological data types. Leverage data and insights to produce robust, explainable, and accurate predictions across a variety of key biological and clinical tasks. Connect and collaborate with subject matter experts in biology, genomics, and medicine. Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models. Develop and embed automated processes for predictive model validation, deployment, and implementation. Deploy your algorithms to production to identify actionable insights from large databases. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Graduate studies in Computer Science or Applied Math, undergraduate studies in Computer Science and relevant graduate studies in the life sciences with a focus on AI/ML techniques, or undergraduate studies in Computer Science and equivalent work history. Candidates with graduate studies in CS and biological sciences or equivalent work history will be highly competitive. Highly experienced in developing deep learning models. An outstanding scientist, machine learning engineer, and software engineer. Demonstrate expertise and depth in at least one area and breadth across your expertise. Proficiency with standard deep learning algorithms and model architectures. Familiarity with current deep learning literature and math of machine learning. In depth knowledge in machine learning best practices, scalable training and deployment, model introspection and evaluation. Advanced level in PyTorch, Tensorflow, or other deep learning frameworks. Highly experienced/accomplished in software engineering with advanced skills in python and/or C++ Experience with devops stacks: version control, CI/CD, containerization, etc. At least one peer reviewed publication. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: PhD in Machine Learning and peer reviewed publications in major AI conferences. Knowledge in disease biology, molecular biology and biochemistry. Experience with biological data (e.g., genomics, transcriptomics, epigenomics, proteomics). Experience in design, development and deployment of commercial AI/ML software. Track record of contributing to open-source projects. Mentality of commit early and often, metrics before models, and shipping high quality production code. Ready to embark on an exhilarating journey where your skills and passion can make a real difference? Apply now and be part of our team driving innovation at the intersection of AI and healthcare. Together, let's shape the future of medicine and transform lives for the better. Closing Date for Applications: Monday 29th April 2024 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on or . Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a UK Recruitment FAQ guide. Click the link and scroll to the Careers Section where you will find answers to multiple questions we receive . As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK . click apply for full job details
Senior Product Manager, Deliveroo for Work Senior Product Manager, Deliveroo for Work The Deliveroo for Work Team is unique at Deliveroo in that we are essentially a start up within the wider org. Deliveroo for Work (DFW) is on a mission to deliver amazing food experiences at the workplace, by offering an allowance-based food solution for all work occasions. We have a growing number of prestigious companies who choose Deliveroo for Work for their employees across the UK, Ireland, France, Belgium, Italy, UAE, Hong Kong and Singapore. Nonetheless, the growth opportunity remains huge, with 2024 a pivotal year for the business. We work across multiple tech, product, and business teams to build comprehensive tool sets for our customers. Deliveroo for Work is currently operating in the UK, Ireland, France, Belgium, Italy, UAE, Hong Kong and Singapore. Our mission is to partner with top corporate brands around the world to bring them the simplest way to appreciate their employees, through their favourite restaurants. Leveraging the existing Deliveroo app, our clients can provide hassle-free team lunches and late night meals for their employees, which they site as one of their favourite benefits. DfW combines the best of our consumer app with corporate facing admin tools to manage their employee meal benefits. Deliveroo for Work is a fast paced group with an entrepreneurial mindset. We encourage our team members to take ownership of their projects, be proactive, take risks, and think creatively. We work across multiple tech, product, and business teams to build comprehensive tool sets for our customers. What you'll be doing Work closely with product stakeholders to continue to refine the 2024/25 vision and strategy, and further define 2024 roadmap priorities. Lead the end-to-end product development lifecycle for 2025 and beyond, from ideation to launch, ensuring delivery of high-quality products that meet user needs and business objectives. Conduct market research and analysis to identify new opportunities and stay ahead of industry trends. Collaborate with cross-functional teams, including engineering, design, and marketing, to drive product development and ensure timely delivery. Define and prioritise product features based on business priorities and user feedback. Develop and maintain a deep understanding of our users, market, and competition. Analyse product performance through data-driven insights and iterate on features to enhance user experience. Requirements Proven experience as a Product Manager or similar role, preferably in a startup environment. Experience of developing and building customer-focussed products, from concept to launch in an agile environment, prioritising roadmaps and working with a cross-functional team of engineers, data scientists, researchers and designers. Customer-obsessed, able to understand them emotionally and through data. An effective communicator who can inspire and rally a team around a problem and build trust with a range of stakeholders Able to build hypotheses from first principles, critically assessing information rather than accepting received wisdom. Ability to thrive in a fast-paced, dynamic startup environment. Experience of running A/B and multivariate tests, using data to drive decision-making Curious to understand the B2B2C space that we sit in, different from our Deliveroo consumers. Preferred, but not required Experience with B2B SAAS platform product management Experience of multi-platform development (iOS, Android, web) Experience working with SQL, building simple Excel models, working with and building new dashboards is highly desirable. Why Deliveroo? Why Deliveroo? When you first think about Deliveroo, you probably think of getting great food to your house in less than half an hour. Awesome right? But behind the scenes is the real story. This story is one of high growth, huge challenges and an enormous opportunity ahead of us. We want to be the definitive food company - the app you go to any time you have a hunger pang. We are transforming the way people think about food. We're a technology driven company at the forefront of the most rapidly expanding industry in the world, so come and join us for the ride. Benefits and Diversity At Deliveroo we know that people are the heart of the business and we prioritise their welfare. We offer a wide range of competitive benefits in areas including health, family, finance, community, convenience, growth, time away and relocation. We believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest growing startups in an incredibly exciting space. Please click here to view our candidate privacy policy. Would you require a visa for employment for where this job is based? Our monetary compensation includes a base salary and a 10% bonus. Kindly indicate your salary expectations within. What is your notice period? Voluntary Demographic Survey (UK) These questions are voluntary, and help us understand more about our candidates. One of our core values at Deliveroo is We celebrate difference , and we are always working to make sure our hiring processes are equitable and inclusive. By answering the questions below, you'll help us do that. Your responses are confidential, will not be tied to your application, and has no bearing on your candidacy. We only use aggregated demographic data to measure the performance of recruiting efforts. How would you describe your gender identity? (Select one) Female Male Non-binary / non-conforming Prefer to self-describe I don't wish to answer What is your sexual orientation? (Select one) Heterosexual / Straight Gay / Lesbian Bisexual Prefer to self-describe I don't wish to answer Would you say you have a disability? (Select one) Yes, I have a disability No, I do not have a disability I don't wish to answer How would your describe your ethnicity? (Select one) Asian: Bangladeshi Asian: Chinese Asian: Indian Asian: Pakistani Asian: Other Black: African Black: Caribbean Black: Other Mixed ethnic groups White: British White: Irish White: Other Any other ethnic group I don't wish to answer Would you describe yourself as neurodivergent? (Select one) Yes No I don't wish to answer What was the occupation of your main household earner when you were aged 14? (Select one) Modern professional & traditional professional occupations such as: teacher, nurse, physiotherapist, social worker, musician, police officer (sergeant or above), software designer, accountant, solicitor, medical practitioner, scientist, civil / mechanical Senior, middle or junior managers or administrators such as: finance manager, chief executive, large business owner, office manager, retail manager, bank manager, restaurant manager, warehouse manager. Clerical and intermediate occupations such as: secretary, personal assistant, call centre agent, clerical worker, nursery nurse. Technical and craft occupations such as: motor mechanic, plumber, printer, electrician, gardener, train driver. Routine, semi-routine manual and service occupations such as: postal worker, machine operative, security guard, caretaker, farm worker, catering assistant, sales assistant, HGV driver, cleaner, porter, packer, labourer, waiter/waitress, bar staff. Long-term unemployed (claimed Jobseeker's Allowance or earlier unemployment benefit for more than a year). Small business owners who employed less than 25 people such as: corner shop owners, small plumbing companies, retail shop owner, single restaurant or cafe owner, taxi owner, garage owner. Other such as: retired, this question does not apply to me, I don't know. I don't wish to answer
May 18, 2024
Full time
Senior Product Manager, Deliveroo for Work Senior Product Manager, Deliveroo for Work The Deliveroo for Work Team is unique at Deliveroo in that we are essentially a start up within the wider org. Deliveroo for Work (DFW) is on a mission to deliver amazing food experiences at the workplace, by offering an allowance-based food solution for all work occasions. We have a growing number of prestigious companies who choose Deliveroo for Work for their employees across the UK, Ireland, France, Belgium, Italy, UAE, Hong Kong and Singapore. Nonetheless, the growth opportunity remains huge, with 2024 a pivotal year for the business. We work across multiple tech, product, and business teams to build comprehensive tool sets for our customers. Deliveroo for Work is currently operating in the UK, Ireland, France, Belgium, Italy, UAE, Hong Kong and Singapore. Our mission is to partner with top corporate brands around the world to bring them the simplest way to appreciate their employees, through their favourite restaurants. Leveraging the existing Deliveroo app, our clients can provide hassle-free team lunches and late night meals for their employees, which they site as one of their favourite benefits. DfW combines the best of our consumer app with corporate facing admin tools to manage their employee meal benefits. Deliveroo for Work is a fast paced group with an entrepreneurial mindset. We encourage our team members to take ownership of their projects, be proactive, take risks, and think creatively. We work across multiple tech, product, and business teams to build comprehensive tool sets for our customers. What you'll be doing Work closely with product stakeholders to continue to refine the 2024/25 vision and strategy, and further define 2024 roadmap priorities. Lead the end-to-end product development lifecycle for 2025 and beyond, from ideation to launch, ensuring delivery of high-quality products that meet user needs and business objectives. Conduct market research and analysis to identify new opportunities and stay ahead of industry trends. Collaborate with cross-functional teams, including engineering, design, and marketing, to drive product development and ensure timely delivery. Define and prioritise product features based on business priorities and user feedback. Develop and maintain a deep understanding of our users, market, and competition. Analyse product performance through data-driven insights and iterate on features to enhance user experience. Requirements Proven experience as a Product Manager or similar role, preferably in a startup environment. Experience of developing and building customer-focussed products, from concept to launch in an agile environment, prioritising roadmaps and working with a cross-functional team of engineers, data scientists, researchers and designers. Customer-obsessed, able to understand them emotionally and through data. An effective communicator who can inspire and rally a team around a problem and build trust with a range of stakeholders Able to build hypotheses from first principles, critically assessing information rather than accepting received wisdom. Ability to thrive in a fast-paced, dynamic startup environment. Experience of running A/B and multivariate tests, using data to drive decision-making Curious to understand the B2B2C space that we sit in, different from our Deliveroo consumers. Preferred, but not required Experience with B2B SAAS platform product management Experience of multi-platform development (iOS, Android, web) Experience working with SQL, building simple Excel models, working with and building new dashboards is highly desirable. Why Deliveroo? Why Deliveroo? When you first think about Deliveroo, you probably think of getting great food to your house in less than half an hour. Awesome right? But behind the scenes is the real story. This story is one of high growth, huge challenges and an enormous opportunity ahead of us. We want to be the definitive food company - the app you go to any time you have a hunger pang. We are transforming the way people think about food. We're a technology driven company at the forefront of the most rapidly expanding industry in the world, so come and join us for the ride. Benefits and Diversity At Deliveroo we know that people are the heart of the business and we prioritise their welfare. We offer a wide range of competitive benefits in areas including health, family, finance, community, convenience, growth, time away and relocation. We believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest growing startups in an incredibly exciting space. Please click here to view our candidate privacy policy. Would you require a visa for employment for where this job is based? Our monetary compensation includes a base salary and a 10% bonus. Kindly indicate your salary expectations within. What is your notice period? Voluntary Demographic Survey (UK) These questions are voluntary, and help us understand more about our candidates. One of our core values at Deliveroo is We celebrate difference , and we are always working to make sure our hiring processes are equitable and inclusive. By answering the questions below, you'll help us do that. Your responses are confidential, will not be tied to your application, and has no bearing on your candidacy. We only use aggregated demographic data to measure the performance of recruiting efforts. How would you describe your gender identity? (Select one) Female Male Non-binary / non-conforming Prefer to self-describe I don't wish to answer What is your sexual orientation? (Select one) Heterosexual / Straight Gay / Lesbian Bisexual Prefer to self-describe I don't wish to answer Would you say you have a disability? (Select one) Yes, I have a disability No, I do not have a disability I don't wish to answer How would your describe your ethnicity? (Select one) Asian: Bangladeshi Asian: Chinese Asian: Indian Asian: Pakistani Asian: Other Black: African Black: Caribbean Black: Other Mixed ethnic groups White: British White: Irish White: Other Any other ethnic group I don't wish to answer Would you describe yourself as neurodivergent? (Select one) Yes No I don't wish to answer What was the occupation of your main household earner when you were aged 14? (Select one) Modern professional & traditional professional occupations such as: teacher, nurse, physiotherapist, social worker, musician, police officer (sergeant or above), software designer, accountant, solicitor, medical practitioner, scientist, civil / mechanical Senior, middle or junior managers or administrators such as: finance manager, chief executive, large business owner, office manager, retail manager, bank manager, restaurant manager, warehouse manager. Clerical and intermediate occupations such as: secretary, personal assistant, call centre agent, clerical worker, nursery nurse. Technical and craft occupations such as: motor mechanic, plumber, printer, electrician, gardener, train driver. Routine, semi-routine manual and service occupations such as: postal worker, machine operative, security guard, caretaker, farm worker, catering assistant, sales assistant, HGV driver, cleaner, porter, packer, labourer, waiter/waitress, bar staff. Long-term unemployed (claimed Jobseeker's Allowance or earlier unemployment benefit for more than a year). Small business owners who employed less than 25 people such as: corner shop owners, small plumbing companies, retail shop owner, single restaurant or cafe owner, taxi owner, garage owner. Other such as: retired, this question does not apply to me, I don't know. I don't wish to answer
Director, Applied Data Science page is loaded Director, Applied Data Science Apply locations London, England time type Full time posted on Posted 2 Days Ago job requisition id R-216397 Our Purpose We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results. Title and Summary Director, Applied Data ScienceOverview Reporting to the Vice President of Analytics and Metrics and working with the TST Applied Data Science team, the Director will drive enterprise-level impact from data science solutions by leading a team of data scientists and engineers; managing delivery and scaling of existing data science models; and lead experimentation and innovation to develop new capabilities. The Role 1/ Lead a team of data scientists and engineers • Recruit, hire, and train distinctive data science and ML engineering talent • Serve as a senior technical leader on the team, guiding individual contributors in their development of data science and ML engineering solutions • Engage business and technical stakeholders across Mastercard to co-create solutions and collaboratively solve data science problems • Continuously raise the bar on the capabilities and impact of our data science solutions 2/ Manage delivery and scaling of existing models • Architect and lead the design and implementation of sophisticated data models and algorithms, steering complex data science initiatives from conception through to execution. • Implement Agile practices to scale development of individual solutions across distributed cross-functional teams • Lead the engineering team to deploy and manage critical models in production 3/ Lead experimentation and innovation • Develop and refine advanced analytical solutions, utilizing Mastercard's extensive global data assets and software platforms. • Stay abreast of the latest advancements in data science, continually applying new techniques to enhance analytical capabilities. • Manage long-term development of market-differentiating capabilities alongside day-to-day value delivery All about you • 7+ years of experience in data science with at least 2 as a people manager • Strong experience in Python • Extensive expertise in statistical modeling, machine learning algorithms, and predictive analytics. • Highly structured and organized with the ability to plan work to maximize the team's productivity and effectiveness. • Deep understanding of the AI development lifecycle • Proficiency in big data technologies like Hadoop, Spark, or similar frameworks. • Excellent skills in data visualization and interpretation. • Demonstrated history of successfully delivering high-quality, data-driven solutions, including deploying production-level machine learning models and executing complex business intelligence projects. • Excellent communication skills, capable of explaining complex data concepts in simple terms. • Experience in working with cloud computing platforms like AWS, Azure, or Google Cloud. • Proven track record of delivering data products in environments with strict adherence to security and model governance standards. • Bachelor's degree in computer science, analytics, mathematics, statistics, economics, industrial engineering, or physical sciences. Master's degree in one of these disciplines preferred. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. About Us Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. we help create them. Small businesses are virtual; we give them access to a world of buyers.
May 18, 2024
Full time
Director, Applied Data Science page is loaded Director, Applied Data Science Apply locations London, England time type Full time posted on Posted 2 Days Ago job requisition id R-216397 Our Purpose We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results. Title and Summary Director, Applied Data ScienceOverview Reporting to the Vice President of Analytics and Metrics and working with the TST Applied Data Science team, the Director will drive enterprise-level impact from data science solutions by leading a team of data scientists and engineers; managing delivery and scaling of existing data science models; and lead experimentation and innovation to develop new capabilities. The Role 1/ Lead a team of data scientists and engineers • Recruit, hire, and train distinctive data science and ML engineering talent • Serve as a senior technical leader on the team, guiding individual contributors in their development of data science and ML engineering solutions • Engage business and technical stakeholders across Mastercard to co-create solutions and collaboratively solve data science problems • Continuously raise the bar on the capabilities and impact of our data science solutions 2/ Manage delivery and scaling of existing models • Architect and lead the design and implementation of sophisticated data models and algorithms, steering complex data science initiatives from conception through to execution. • Implement Agile practices to scale development of individual solutions across distributed cross-functional teams • Lead the engineering team to deploy and manage critical models in production 3/ Lead experimentation and innovation • Develop and refine advanced analytical solutions, utilizing Mastercard's extensive global data assets and software platforms. • Stay abreast of the latest advancements in data science, continually applying new techniques to enhance analytical capabilities. • Manage long-term development of market-differentiating capabilities alongside day-to-day value delivery All about you • 7+ years of experience in data science with at least 2 as a people manager • Strong experience in Python • Extensive expertise in statistical modeling, machine learning algorithms, and predictive analytics. • Highly structured and organized with the ability to plan work to maximize the team's productivity and effectiveness. • Deep understanding of the AI development lifecycle • Proficiency in big data technologies like Hadoop, Spark, or similar frameworks. • Excellent skills in data visualization and interpretation. • Demonstrated history of successfully delivering high-quality, data-driven solutions, including deploying production-level machine learning models and executing complex business intelligence projects. • Excellent communication skills, capable of explaining complex data concepts in simple terms. • Experience in working with cloud computing platforms like AWS, Azure, or Google Cloud. • Proven track record of delivering data products in environments with strict adherence to security and model governance standards. • Bachelor's degree in computer science, analytics, mathematics, statistics, economics, industrial engineering, or physical sciences. Master's degree in one of these disciplines preferred. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. About Us Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. we help create them. Small businesses are virtual; we give them access to a world of buyers.
At Capgemini Invent, we bring to life what's next for our clients. By combining strategy, technology, data science, and creative design expertise with an inventive mindset, we partner with our clients to innovate and transform their business, helping them navigate today, while plotting a course for the future. 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 12,000+ 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. It is a responsible and diverse organization of 325,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of €22 billion. Our brand promise "Get The Future You Want" reflects our passion for people and technology and highlights the company's commitment to inclusion and sustainability. An important aspect of 'Get the Future You Want' is to balance hybrid ways of working between your Capgemini office, home, and client location (where applicable). We recognise that it is an imperative to create flexibility so you can enjoy an optimal work-life balance and feel empowered to achieve success. When you come onboard, or before, please discuss this with your manager so you can agree the best ways of working for your role, team, and client. Get The Future You Want See what it's like to work at Capgemini Invent, visit our Glassdoor page An overview of the role: In this role within our Consumer Products team, you will be responsible for developing senior and trusted relationships with both our existing client base and new clients. Using the extensive network both within Invent and the broader firm, you will interact directly with clients to share your vision for the digital future of the industry and develop compelling solutions to meet our client's needs. You will also be part of a diverse and ambitious team that is growing rapidly and be part of fostering a supportive and energised team and community. In addition, you will take ownership and lead several focus accounts within our portfolio to both sell and deliver our next generation of consulting services. The work: No matter the project or customer, your work will have a meaningful impact on society, businesses and lives. It's really rewarding. And it's also really varied. You'll potentially work on a huge variety of projects (some larger than others), so you could gain lots of experience in a short amount of time. Why this role? As a Director in the Consumer Products sector, you will be responsible for building lasting relationships with existing and new clients, through demonstrating sector and sub sector experience. Bringing the best of Capgemini Invent to that client base and developing and delivering engagements to address the client's needs. You will be a central part of the sector team in envisioning and actioning our go to market strategy to support our ongoing growth ambitions and you will play a key role in expanding and developing our sector team and extended community. As a Director in the business, you will help set the direction, driving forward the business, model our values and behaviours, and coach and develop junior members of the team. Key expectations from this role include: Building trusted client relationships both existing and new Demonstrate sector and sub sector experience and knowledge Be active and effective in both selling and delivering solutions to address our client's business needs Support the financial growth of the sector Support the growth and expansion of our team and community. As part of your role you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - Training to support your career development and the skills demand within the company, certifications etc. We'd love to meet someone with: You possess strong experience in selling and delivering in the consumer products and/or retail sector with a core capability of either the marketing and commercial aspects of these businesses or the operational manufacturing/supply chain aspects. You will have a natural curiosity and desire to be ahead of the curve as you continue to develop your expertise and knowledge of the digital journey of our clients and a natural ambition to continually learn and develop your own skills in the space. Proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers in selling and delivering consulting solutions. Experience of proposition building and delivery. Currently working in a major Consulting firm, and/or in industry but having a Consulting background Proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers in selling and delivering consulting solutions. Experience of proposition building and delivery. Business development - utilising a combination of the organisation's broader pre-existing relationships, company relationships and your own network, you'll be generating c .£2m of consulting revenues. Why Capgemini is unique 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. Through our New Normal campaign, we are looking to 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. 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. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy. Collaboration and Innovation: We really believe in creating a partnership with our customers. Using our Accelerated Solutions Environment (ASE), you'll get to know the customer's needs and challenges, demo innovative solutions and quickly solve problems. It'll help you discover unexpected answers together. Learning and development: There's an endless amount to learn at Capgemini, and an endless number of ways to do so. So, you'll also have unique training opportunities to take advantage of. Some of our consultants even have the chance to go to Les Fontaine (near Paris, France), where we host a conference. Outside of dedicated training, everyone makes time to help and support one another - collaboration is encouraged across all our teams. CSR: We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing. 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. When you join Capgemini, you don't just start a new job. You become part of something bigger. Learn about how the recruitment process works - how to apply, where to follow your application, and next steps. To help you bring out the best of yourself during the interview process, we've got some great interview tips to share before the big day.
May 17, 2024
Full time
At Capgemini Invent, we bring to life what's next for our clients. By combining strategy, technology, data science, and creative design expertise with an inventive mindset, we partner with our clients to innovate and transform their business, helping them navigate today, while plotting a course for the future. 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 12,000+ 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. It is a responsible and diverse organization of 325,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of €22 billion. Our brand promise "Get The Future You Want" reflects our passion for people and technology and highlights the company's commitment to inclusion and sustainability. An important aspect of 'Get the Future You Want' is to balance hybrid ways of working between your Capgemini office, home, and client location (where applicable). We recognise that it is an imperative to create flexibility so you can enjoy an optimal work-life balance and feel empowered to achieve success. When you come onboard, or before, please discuss this with your manager so you can agree the best ways of working for your role, team, and client. Get The Future You Want See what it's like to work at Capgemini Invent, visit our Glassdoor page An overview of the role: In this role within our Consumer Products team, you will be responsible for developing senior and trusted relationships with both our existing client base and new clients. Using the extensive network both within Invent and the broader firm, you will interact directly with clients to share your vision for the digital future of the industry and develop compelling solutions to meet our client's needs. You will also be part of a diverse and ambitious team that is growing rapidly and be part of fostering a supportive and energised team and community. In addition, you will take ownership and lead several focus accounts within our portfolio to both sell and deliver our next generation of consulting services. The work: No matter the project or customer, your work will have a meaningful impact on society, businesses and lives. It's really rewarding. And it's also really varied. You'll potentially work on a huge variety of projects (some larger than others), so you could gain lots of experience in a short amount of time. Why this role? As a Director in the Consumer Products sector, you will be responsible for building lasting relationships with existing and new clients, through demonstrating sector and sub sector experience. Bringing the best of Capgemini Invent to that client base and developing and delivering engagements to address the client's needs. You will be a central part of the sector team in envisioning and actioning our go to market strategy to support our ongoing growth ambitions and you will play a key role in expanding and developing our sector team and extended community. As a Director in the business, you will help set the direction, driving forward the business, model our values and behaviours, and coach and develop junior members of the team. Key expectations from this role include: Building trusted client relationships both existing and new Demonstrate sector and sub sector experience and knowledge Be active and effective in both selling and delivering solutions to address our client's business needs Support the financial growth of the sector Support the growth and expansion of our team and community. As part of your role you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - Training to support your career development and the skills demand within the company, certifications etc. We'd love to meet someone with: You possess strong experience in selling and delivering in the consumer products and/or retail sector with a core capability of either the marketing and commercial aspects of these businesses or the operational manufacturing/supply chain aspects. You will have a natural curiosity and desire to be ahead of the curve as you continue to develop your expertise and knowledge of the digital journey of our clients and a natural ambition to continually learn and develop your own skills in the space. Proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers in selling and delivering consulting solutions. Experience of proposition building and delivery. Currently working in a major Consulting firm, and/or in industry but having a Consulting background Proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers in selling and delivering consulting solutions. Experience of proposition building and delivery. Business development - utilising a combination of the organisation's broader pre-existing relationships, company relationships and your own network, you'll be generating c .£2m of consulting revenues. Why Capgemini is unique 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. Through our New Normal campaign, we are looking to 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. 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. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy. Collaboration and Innovation: We really believe in creating a partnership with our customers. Using our Accelerated Solutions Environment (ASE), you'll get to know the customer's needs and challenges, demo innovative solutions and quickly solve problems. It'll help you discover unexpected answers together. Learning and development: There's an endless amount to learn at Capgemini, and an endless number of ways to do so. So, you'll also have unique training opportunities to take advantage of. Some of our consultants even have the chance to go to Les Fontaine (near Paris, France), where we host a conference. Outside of dedicated training, everyone makes time to help and support one another - collaboration is encouraged across all our teams. CSR: We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing. 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. When you join Capgemini, you don't just start a new job. You become part of something bigger. Learn about how the recruitment process works - how to apply, where to follow your application, and next steps. To help you bring out the best of yourself during the interview process, we've got some great interview tips to share before the big day.
The Medicines and Healthcare products Regulatory Agency (MHRA)
South Mimms, Hertfordshire
The MHRA is transforming. Through enabling innovation, making the right judgements of the benefits and risks of medical products and forging the right partnerships in the UK and internationally, it aims to deliver world class regulation and improved outcomes for UK patients. We are currently looking for an experienced Senior Scientist to join our Immunobiology and Biochemistry team in the Science, Research & Innovation group. Within a week of working here, your day could look like this: ensuring analytical assays are performed in compliance with ISO17025, managing the day-to-day implementation and delivery of improvements in patient outcomes through organisation of resources, process improvement and changes in working practice, engaging with stakeholders including colleagues across the Agency and other National Control Laboratories and manufacturers to ensure quality of service and patients' access to medicines. The successful candidate will have advanced experience of working within ISO17025 (or other relevant) quality management system, extensive experience of using a LIMS and of statistical analysis and interpreting results derived from large complex data sets. Closing date: 19 th May 2024
May 17, 2024
Full time
The MHRA is transforming. Through enabling innovation, making the right judgements of the benefits and risks of medical products and forging the right partnerships in the UK and internationally, it aims to deliver world class regulation and improved outcomes for UK patients. We are currently looking for an experienced Senior Scientist to join our Immunobiology and Biochemistry team in the Science, Research & Innovation group. Within a week of working here, your day could look like this: ensuring analytical assays are performed in compliance with ISO17025, managing the day-to-day implementation and delivery of improvements in patient outcomes through organisation of resources, process improvement and changes in working practice, engaging with stakeholders including colleagues across the Agency and other National Control Laboratories and manufacturers to ensure quality of service and patients' access to medicines. The successful candidate will have advanced experience of working within ISO17025 (or other relevant) quality management system, extensive experience of using a LIMS and of statistical analysis and interpreting results derived from large complex data sets. Closing date: 19 th May 2024
HeliosX is one of the world's fastest growing HealthTech companies. We're committed to improving the quality, accessibility, and affordability of healthcare for everyone. In 2013, our Founder Dwayne D'Souza recognised the need for prescription healthcare to catch up with other industries by taking advantage of technological innovations - to enable rapid delivery of medications and improved customer convenience. Since our founding, we've been entirely bootstrapped - we achieved product-market fit and profitability without ANY external funding whatsoever. Our mission is to help people across the world get the medications they need, faster. Through our sites and platforms, customers can conveniently access prescription medications and treatments to treat a range of health problems, as well as purchase clinical-grade, personalised skincare. We have dedicated in-house clinical teams authorised to prescribe medications, and we own a pharma business capable of manufacturing many of the medicines and skincare products we provide. We're an in-house, Direct-To-Consumer (D2C) proposition all the way down - and we're passionate about that approach. Our revenue reached a record $76 million USD last year, with unprecedented 32% year-on-year growth. With a 40% year-on-year growth target for 2024, it's an exciting time to be part of the HeliosX journey. Come and help in making access to medication quicker and easier than ever before in human history! The Opportunity The Data Engineering team at HeliosX is on a mission to accelerate decision making and empower the business with the strategic insights necessary to ensure our continued success. Data has played a critical role in our growth so far and will continue to do so in 2024 as we begin scaling our brands and services internationally. What you'll be doing: Acting as the first point of contact for ML models in production, with monitoring and alerting in place and a process to respond. Creating new models, refreshing models and working with engineers to productionise these models. Providing visibility on ML models KPIs. Exploring datasets to create new features that improve model performance. Communicating findings and insights to stakeholders (Product / Growth) with regards to the factors that impact business outcomes. What you'll bring to HeliosX Advanced degree in Statistics, Computer Science, or a related field, with a strong foundation in statistical modelling and machine learning. At least 5 years of professional experience in a data science or similar role. Expertise in Python, Jupyter Notebooks, SageMaker (or similar), and familiarity with MLFlow or equivalent model management tools. Extensive experience in developing and deploying machine learning models in production, preferably within B2C, online retail or similar sectors. Proven track record of strategic model development, from conception through to production and impact measurement. Demonstrated technical leadership within data science projects, with the ability to mentor more junior team members or develop talent within a growing team. Exceptional problem-solving skills, with a keen ability to apply data science for tangible business advantage. Strong project management skills, comfortable leading agile projects with changing priorities and tight deadlines. Excellent communication skills, with experience in presenting technical details to non-technical audiences. Whilst not a requirement, any of the following would be considered advantageous: Deep understanding of ethical considerations in data science, including privacy, fairness, and bias mitigation. Publications in relevant data science fields or contributions to open-source projects. Experience with innovative data science techniques, including AI and deep learning, and their application in solving business problems. Background or interest in e-commerce or Health Tech, with an understanding of the specific data challenges and opportunities it presents. Why work with us? At HeliosX, we want to improve healthcare for everyone, and to do this we need a team of brilliant people who share that ambition. We are currently a diverse team of engineers, scientists, clinical researchers, physicians, pharmacists, marketeers, and customer care specialists committed to our mission - but we need more talented folks to join us, if we want to achieve our global ambitions! Aside from working with our all-star team, here are the other benefits of coming on board: Generous equity allocations with significant upside potential 25 Days Holiday (+ all the usual Bank Holidays) Private health insurance, along with extra dental and eye care cover Enhanced parental leave Cycle-to-work Scheme Electric Car Scheme Free Dermatica and MedExpress products every month, as well as family discounts Home office allowance Access to a Headspace subscription, discounted gym memberships, and a learning and development budget (alongside a free Kindle and audible subscription) Do you possess a legal right to work in the UK? This role is office based in Central London 2 days per week, with the rest of the time spent working from home. Please confirm you are happy with this arrangement?
May 17, 2024
Full time
HeliosX is one of the world's fastest growing HealthTech companies. We're committed to improving the quality, accessibility, and affordability of healthcare for everyone. In 2013, our Founder Dwayne D'Souza recognised the need for prescription healthcare to catch up with other industries by taking advantage of technological innovations - to enable rapid delivery of medications and improved customer convenience. Since our founding, we've been entirely bootstrapped - we achieved product-market fit and profitability without ANY external funding whatsoever. Our mission is to help people across the world get the medications they need, faster. Through our sites and platforms, customers can conveniently access prescription medications and treatments to treat a range of health problems, as well as purchase clinical-grade, personalised skincare. We have dedicated in-house clinical teams authorised to prescribe medications, and we own a pharma business capable of manufacturing many of the medicines and skincare products we provide. We're an in-house, Direct-To-Consumer (D2C) proposition all the way down - and we're passionate about that approach. Our revenue reached a record $76 million USD last year, with unprecedented 32% year-on-year growth. With a 40% year-on-year growth target for 2024, it's an exciting time to be part of the HeliosX journey. Come and help in making access to medication quicker and easier than ever before in human history! The Opportunity The Data Engineering team at HeliosX is on a mission to accelerate decision making and empower the business with the strategic insights necessary to ensure our continued success. Data has played a critical role in our growth so far and will continue to do so in 2024 as we begin scaling our brands and services internationally. What you'll be doing: Acting as the first point of contact for ML models in production, with monitoring and alerting in place and a process to respond. Creating new models, refreshing models and working with engineers to productionise these models. Providing visibility on ML models KPIs. Exploring datasets to create new features that improve model performance. Communicating findings and insights to stakeholders (Product / Growth) with regards to the factors that impact business outcomes. What you'll bring to HeliosX Advanced degree in Statistics, Computer Science, or a related field, with a strong foundation in statistical modelling and machine learning. At least 5 years of professional experience in a data science or similar role. Expertise in Python, Jupyter Notebooks, SageMaker (or similar), and familiarity with MLFlow or equivalent model management tools. Extensive experience in developing and deploying machine learning models in production, preferably within B2C, online retail or similar sectors. Proven track record of strategic model development, from conception through to production and impact measurement. Demonstrated technical leadership within data science projects, with the ability to mentor more junior team members or develop talent within a growing team. Exceptional problem-solving skills, with a keen ability to apply data science for tangible business advantage. Strong project management skills, comfortable leading agile projects with changing priorities and tight deadlines. Excellent communication skills, with experience in presenting technical details to non-technical audiences. Whilst not a requirement, any of the following would be considered advantageous: Deep understanding of ethical considerations in data science, including privacy, fairness, and bias mitigation. Publications in relevant data science fields or contributions to open-source projects. Experience with innovative data science techniques, including AI and deep learning, and their application in solving business problems. Background or interest in e-commerce or Health Tech, with an understanding of the specific data challenges and opportunities it presents. Why work with us? At HeliosX, we want to improve healthcare for everyone, and to do this we need a team of brilliant people who share that ambition. We are currently a diverse team of engineers, scientists, clinical researchers, physicians, pharmacists, marketeers, and customer care specialists committed to our mission - but we need more talented folks to join us, if we want to achieve our global ambitions! Aside from working with our all-star team, here are the other benefits of coming on board: Generous equity allocations with significant upside potential 25 Days Holiday (+ all the usual Bank Holidays) Private health insurance, along with extra dental and eye care cover Enhanced parental leave Cycle-to-work Scheme Electric Car Scheme Free Dermatica and MedExpress products every month, as well as family discounts Home office allowance Access to a Headspace subscription, discounted gym memberships, and a learning and development budget (alongside a free Kindle and audible subscription) Do you possess a legal right to work in the UK? This role is office based in Central London 2 days per week, with the rest of the time spent working from home. Please confirm you are happy with this arrangement?
HeliosX is one of the world's fastest growing HealthTech companies. We're committed to improving the quality, accessibility, and affordability of healthcare for everyone. In 2013, our Founder Dwayne D'Souza recognised the need for prescription healthcare to catch up with other industries by taking advantage of technological innovations - to enable rapid delivery of medications and improved customer convenience. Since our founding, we've been entirely bootstrapped - we achieved product-market fit and profitability without ANY external funding whatsoever. Our mission is to help people across the world get the medications they need, faster. Through our sites and platforms, customers can conveniently access prescription medications and treatments to treat a range of health problems, as well as purchase clinical-grade, personalised skincare. We have dedicated in-house clinical teams authorised to prescribe medications, and we own a pharma business capable of manufacturing many of the medicines and skincare products we provide. We're an in-house, Direct-To-Consumer (D2C) proposition all the way down - and we're passionate about that approach. Our revenue reached a record $76 million USD last year, with unprecedented 32% year-on-year growth. With a 40% year-on-year growth target for 2024, it's an exciting time to be part of the HeliosX journey. Come and help in making access to medication quicker and easier than ever before in human history! The Opportunity We're looking to hire a Senior Product Manager to lead our efforts in experimentation and conversion rate optimisation across HeliosX Group brands. You will have ownership of our testing and experimentation roadmap, working cross-functionally with Product, Engineering, Design, Analytics, and Growth teams to drive improvements in conversion rates and customer lifetime value. You will utilise data from a broad range of sources - customer behaviour, user research, industry benchmarks, and the results from AB testing and on-site experimentation - to enhance engagement and create best-in-class customer journeys. We're scaling up our experimentation efforts following an incredible year of growth for HeliosX and this role will be key to our continued success as we launch new brands and products, and move into new markets throughout 2024. Reporting to the Director of Product, this is a full time, permanent role. The successful candidate will be hybrid, with 2 days per week expected at our offices in Central London. Key responsibilities include: Deliver regular analyses of user behaviour and conversion flows to identify site improvements and make recommendations that drive performance Own and deliver our AB testing and experimentation strategy; build and manage a roadmap of experiments while working with Engineers to facilitate their execution Look after the experimentation backlog and take a data-driven approach to prioritisation of different tests. Collaborate with Product Designers to identify and implement key improvements across the customer journey; reducing friction, enhancing engagement, and increasing conversion Utilise data to inform the recommendation engine for up- and cross-selling additional products, as well as other strategic initiatives Project manage the creation of dedicated landing pages for new product launches (showcasing products alongside effective call to action elements), while ensuring prominent placement of new products on the website and ease of navigation Track, monitor, and report on acquisition and conversion metrics/KPIs, as well as the results of new experiments and initiatives, to a range of audiences across the business Provide support and mentorship in experimentation and CRO to other Product team members and support the Director of Product in ramping up/advocating for the discipline across the business What you'll bring to HeliosX Strong experience in prior Product and/or Growth roles, ideally in a high growth start/scale up environment Deep technical experience within conversion rate optimisation and AB testing Passion for understanding and influencing customer behaviour to bring about positive business outcomes Prior experience supporting B2C/D2C-based businesses Data fluency; you'll be extremely analytical and data driven, with examples of working with complex data sets to surface actionable insights and set priorities Experience working successfully with great Product Designers and Engineers Why work with us? At HeliosX, we want to improve healthcare for everyone, and to do this we need a team of brilliant people who share that ambition. We are currently a diverse team of engineers, scientists, clinical researchers, physicians, pharmacists, marketeers, and customer care specialists committed to our mission - but we need more talented folks to join us, if we want to achieve our global ambitions! Aside from working with our all-star team, here are the other benefits of coming on board: Generous equity allocations with significant upside potential 25 Days Holiday (+ all the usual Bank Holidays) Private health insurance, along with extra dental and eye care cover Enhanced parental leave Cycle-to-work Scheme Electric Car Scheme Free Dermatica and MedExpress products every month, as well as family discounts Home office allowance Access to a Headspace subscription, discounted gym memberships, and a learning and development budget (alongside a free Kindle and audible subscription) Please provide us with the URL to your LinkedIn profile (optional) Do you possess a legal right to work in the UK?
May 17, 2024
Full time
HeliosX is one of the world's fastest growing HealthTech companies. We're committed to improving the quality, accessibility, and affordability of healthcare for everyone. In 2013, our Founder Dwayne D'Souza recognised the need for prescription healthcare to catch up with other industries by taking advantage of technological innovations - to enable rapid delivery of medications and improved customer convenience. Since our founding, we've been entirely bootstrapped - we achieved product-market fit and profitability without ANY external funding whatsoever. Our mission is to help people across the world get the medications they need, faster. Through our sites and platforms, customers can conveniently access prescription medications and treatments to treat a range of health problems, as well as purchase clinical-grade, personalised skincare. We have dedicated in-house clinical teams authorised to prescribe medications, and we own a pharma business capable of manufacturing many of the medicines and skincare products we provide. We're an in-house, Direct-To-Consumer (D2C) proposition all the way down - and we're passionate about that approach. Our revenue reached a record $76 million USD last year, with unprecedented 32% year-on-year growth. With a 40% year-on-year growth target for 2024, it's an exciting time to be part of the HeliosX journey. Come and help in making access to medication quicker and easier than ever before in human history! The Opportunity We're looking to hire a Senior Product Manager to lead our efforts in experimentation and conversion rate optimisation across HeliosX Group brands. You will have ownership of our testing and experimentation roadmap, working cross-functionally with Product, Engineering, Design, Analytics, and Growth teams to drive improvements in conversion rates and customer lifetime value. You will utilise data from a broad range of sources - customer behaviour, user research, industry benchmarks, and the results from AB testing and on-site experimentation - to enhance engagement and create best-in-class customer journeys. We're scaling up our experimentation efforts following an incredible year of growth for HeliosX and this role will be key to our continued success as we launch new brands and products, and move into new markets throughout 2024. Reporting to the Director of Product, this is a full time, permanent role. The successful candidate will be hybrid, with 2 days per week expected at our offices in Central London. Key responsibilities include: Deliver regular analyses of user behaviour and conversion flows to identify site improvements and make recommendations that drive performance Own and deliver our AB testing and experimentation strategy; build and manage a roadmap of experiments while working with Engineers to facilitate their execution Look after the experimentation backlog and take a data-driven approach to prioritisation of different tests. Collaborate with Product Designers to identify and implement key improvements across the customer journey; reducing friction, enhancing engagement, and increasing conversion Utilise data to inform the recommendation engine for up- and cross-selling additional products, as well as other strategic initiatives Project manage the creation of dedicated landing pages for new product launches (showcasing products alongside effective call to action elements), while ensuring prominent placement of new products on the website and ease of navigation Track, monitor, and report on acquisition and conversion metrics/KPIs, as well as the results of new experiments and initiatives, to a range of audiences across the business Provide support and mentorship in experimentation and CRO to other Product team members and support the Director of Product in ramping up/advocating for the discipline across the business What you'll bring to HeliosX Strong experience in prior Product and/or Growth roles, ideally in a high growth start/scale up environment Deep technical experience within conversion rate optimisation and AB testing Passion for understanding and influencing customer behaviour to bring about positive business outcomes Prior experience supporting B2C/D2C-based businesses Data fluency; you'll be extremely analytical and data driven, with examples of working with complex data sets to surface actionable insights and set priorities Experience working successfully with great Product Designers and Engineers Why work with us? At HeliosX, we want to improve healthcare for everyone, and to do this we need a team of brilliant people who share that ambition. We are currently a diverse team of engineers, scientists, clinical researchers, physicians, pharmacists, marketeers, and customer care specialists committed to our mission - but we need more talented folks to join us, if we want to achieve our global ambitions! Aside from working with our all-star team, here are the other benefits of coming on board: Generous equity allocations with significant upside potential 25 Days Holiday (+ all the usual Bank Holidays) Private health insurance, along with extra dental and eye care cover Enhanced parental leave Cycle-to-work Scheme Electric Car Scheme Free Dermatica and MedExpress products every month, as well as family discounts Home office allowance Access to a Headspace subscription, discounted gym memberships, and a learning and development budget (alongside a free Kindle and audible subscription) Please provide us with the URL to your LinkedIn profile (optional) Do you possess a legal right to work in the UK?
Senior Data Scientist, AWS Professional Services Israel 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. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for ML Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities Collaborate with ML scientist and architects to Research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges. 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 to production. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder. Provide customer and market feedback to Product and Engineering teams to help define product direction. About the team The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred 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. 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. 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 and 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. Hybrid Work We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near our TLV Amazon offices. We are open to hiring candidates to work out of one of the following locations: Tel Aviv, ISR - Masters degree (or European advanced degree equivalent) in Computer Science, or related technical, math, or scientific field - Relevant experience in building large scale machine learning or deep learning models and solutions - Experience communicating across technical and non-technical audiences - Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet - Fluency in written and spoken Hebrew and English - Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models - Proven knowledge of AWS platform and tools - PhD degree in Computer Science, or related technical, math, or scientific field - Hands-on experience of building ML solutions on AWS
May 17, 2024
Full time
Senior Data Scientist, AWS Professional Services Israel 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. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for ML Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities Collaborate with ML scientist and architects to Research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges. 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 to production. Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder. Provide customer and market feedback to Product and Engineering teams to help define product direction. About the team The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred 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. 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. 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 and 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. Hybrid Work We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near our TLV Amazon offices. We are open to hiring candidates to work out of one of the following locations: Tel Aviv, ISR - Masters degree (or European advanced degree equivalent) in Computer Science, or related technical, math, or scientific field - Relevant experience in building large scale machine learning or deep learning models and solutions - Experience communicating across technical and non-technical audiences - Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet - Fluency in written and spoken Hebrew and English - Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models - Proven knowledge of AWS platform and tools - PhD degree in Computer Science, or related technical, math, or scientific field - Hands-on experience of building ML solutions on AWS
Head of Business Analytics (12m Contract) HeliosX is one of the world's fastest growing HealthTech companies. We're committed to improving the quality, accessibility, and affordability of healthcare for everyone. In 2013, our Founder Dwayne D'Souza recognised the need for prescription healthcare to catch up with other industries by taking advantage of technological innovations - to enable rapid delivery of medications and improved customer convenience. Since our founding, we've been entirely bootstrapped - we achieved product-market fit and profitability without ANY external funding whatsoever. Our mission is to help people across the world get the medications they need, faster. Through our sites and platforms, customers can conveniently access prescription medications and treatments to treat a range of health problems, as well as purchase clinical-grade, personalised skincare. We have dedicated in-house clinical teams authorised to prescribe medications, and we own a pharma business capable of manufacturing many of the medicines and skincare products we provide. We're an in-house, Direct-To-Consumer (D2C) proposition all the way down - and we're passionate about that approach. Our revenue reached a record $76 million USD last year, with unprecedented 32% year-on-year growth. With a 40% year-on-year growth target for 2024, it's an exciting time to be part of the HeliosX journey. Come and help in making access to medication quicker and easier than ever before in human history! The Opportunity The Head of Business Analytics will be responsible for leading HeliosX's data analytics function and promoting value driven decision making across the business. We are seeking a passionate analytics leader to take ownership of our commercial analysis and insights engine, providing actionable recommendations that help us to navigate complex strategic and operational business problems critical to our long term success. Managing a small team of analysts, you will be responsible for the application of data within HeliosX; driving excellence, building best practice, and acting as the principal analytics business partner to stakeholders at all levels within the organisation. HeliosX is looking to take the next step in delivering our growth journey and the Head of Business Analytics will be crucial in helping us get there. This is a 12 month fixed term contract and the role will be full time hours (Mon-Fri). The successful candidates will have a hybrid working arrangement split between our Central London offices (2 days per week) and working from home. Key responsibilities include: Commercial Analysis and Insights Develop and implement with your team data led analyses of the company's revenue performance, customer experience, lifetime customer value, and operational delivery Provide actionable recommendations based on data insights to inform strategic and operational decisions Act as the principal analytics business partner for the Group, working cross functionally with a range of stakeholders up to Senior Leadership to drive value, impact, and best practice Personally deliver analyses and insights as a senior individual contributor, addressing complex and challenging business questions Lead in the identification, collection, analysis, and interpretation of data from a wide array of sources to help refine and prioritise group strategy Work with the FP&A Lead to ensure insights are incorporated into the business plan and that variances can be contextualised Data Visualisation and Reporting Own, curate, and govern the library of reports and dashboards on our data platform to support the weekly rhythm of business delivery and performance management Ensure data-driven insights are presented in a clear and actionable format; lead in the delivery of presentations and reports to a multitude of stakeholders Advise on appropriate internal and external data sources required to deliver impactful insights Work with the Director of Data Engineering to define the Group's data architecture and measurement approach Evaluate and recommend data analytics platforms and tools that align with business needs Stay up to date on the latest analytical tools, methods, and best practices; lead on business intelligence education and data literacy for stakeholders across functional teams Team Management Lead and manage a team of analysts delivering decision support and acting as the first point of contact for business analysis queries Cultivate a collaborative and innovative work environment that encourages skill development and growth Effectively manage team performance and organise/manage team capacity to ensure OKRs and deliverables are met to appropriate standards and timelines Oversee the training and continued development of the Business Analytics function and its people, ensuring our capabilities continue to grow and develop in line with business objectives What you'll bring to HeliosX Extensive practical experience in data analytics roles, within an eCommerce/D2C environment Expert understanding of data mining, data transformation, and statistical methods; advanced SQL and Python/R skills Solid background in data governance and reconciliation, with exposure to financial and ecommerce related metrics Fluency with data visualisation tools and an ability to communicate insights effectively through a variety of platforms Strong management experience and a successful track record of building, inspiring, and leading teams of analysts/data scientists Resilience, pragmatism, and the agility to move quickly, make candid observations, and engage with difficult truths in order to deliver solutions Exceptional communication, presentation, and business partnering skills that inspire confidence in stakeholders at all levels Bachelor's or Master's degree in a numerate discipline (Mathematics, Statistics, Economics, Physics, etc.) Why work with us? At HeliosX, we want to improve healthcare for everyone, and to do this we need a team of brilliant people who share that ambition. We are currently a diverse team of engineers, scientists, clinical researchers, physicians, pharmacists, marketeers, and customer care specialists committed to our mission - but we need more talented folks to join us, if we want to achieve our global ambitions! Aside from working with our all-star team, here are the other benefits of coming on board: Generous equity allocations with significant upside potential 25 Days Holiday (+ all the usual Bank Holidays) Private health insurance, along with extra dental and eye care cover Enhanced parental leave Cycle-to-work Scheme Electric Car Scheme Free Dermatica and MedExpress products every month, as well as family discounts Home office allowance Access to a Headspace subscription, discounted gym memberships, and a learning and development budget (alongside a free Kindle and audible subscription) Do you possess a legal right to work in the UK? This role is office based in Central London 2 days per week, with the rest of the time spent working from home. Please confirm you are happy with this arrangement?
May 17, 2024
Full time
Head of Business Analytics (12m Contract) HeliosX is one of the world's fastest growing HealthTech companies. We're committed to improving the quality, accessibility, and affordability of healthcare for everyone. In 2013, our Founder Dwayne D'Souza recognised the need for prescription healthcare to catch up with other industries by taking advantage of technological innovations - to enable rapid delivery of medications and improved customer convenience. Since our founding, we've been entirely bootstrapped - we achieved product-market fit and profitability without ANY external funding whatsoever. Our mission is to help people across the world get the medications they need, faster. Through our sites and platforms, customers can conveniently access prescription medications and treatments to treat a range of health problems, as well as purchase clinical-grade, personalised skincare. We have dedicated in-house clinical teams authorised to prescribe medications, and we own a pharma business capable of manufacturing many of the medicines and skincare products we provide. We're an in-house, Direct-To-Consumer (D2C) proposition all the way down - and we're passionate about that approach. Our revenue reached a record $76 million USD last year, with unprecedented 32% year-on-year growth. With a 40% year-on-year growth target for 2024, it's an exciting time to be part of the HeliosX journey. Come and help in making access to medication quicker and easier than ever before in human history! The Opportunity The Head of Business Analytics will be responsible for leading HeliosX's data analytics function and promoting value driven decision making across the business. We are seeking a passionate analytics leader to take ownership of our commercial analysis and insights engine, providing actionable recommendations that help us to navigate complex strategic and operational business problems critical to our long term success. Managing a small team of analysts, you will be responsible for the application of data within HeliosX; driving excellence, building best practice, and acting as the principal analytics business partner to stakeholders at all levels within the organisation. HeliosX is looking to take the next step in delivering our growth journey and the Head of Business Analytics will be crucial in helping us get there. This is a 12 month fixed term contract and the role will be full time hours (Mon-Fri). The successful candidates will have a hybrid working arrangement split between our Central London offices (2 days per week) and working from home. Key responsibilities include: Commercial Analysis and Insights Develop and implement with your team data led analyses of the company's revenue performance, customer experience, lifetime customer value, and operational delivery Provide actionable recommendations based on data insights to inform strategic and operational decisions Act as the principal analytics business partner for the Group, working cross functionally with a range of stakeholders up to Senior Leadership to drive value, impact, and best practice Personally deliver analyses and insights as a senior individual contributor, addressing complex and challenging business questions Lead in the identification, collection, analysis, and interpretation of data from a wide array of sources to help refine and prioritise group strategy Work with the FP&A Lead to ensure insights are incorporated into the business plan and that variances can be contextualised Data Visualisation and Reporting Own, curate, and govern the library of reports and dashboards on our data platform to support the weekly rhythm of business delivery and performance management Ensure data-driven insights are presented in a clear and actionable format; lead in the delivery of presentations and reports to a multitude of stakeholders Advise on appropriate internal and external data sources required to deliver impactful insights Work with the Director of Data Engineering to define the Group's data architecture and measurement approach Evaluate and recommend data analytics platforms and tools that align with business needs Stay up to date on the latest analytical tools, methods, and best practices; lead on business intelligence education and data literacy for stakeholders across functional teams Team Management Lead and manage a team of analysts delivering decision support and acting as the first point of contact for business analysis queries Cultivate a collaborative and innovative work environment that encourages skill development and growth Effectively manage team performance and organise/manage team capacity to ensure OKRs and deliverables are met to appropriate standards and timelines Oversee the training and continued development of the Business Analytics function and its people, ensuring our capabilities continue to grow and develop in line with business objectives What you'll bring to HeliosX Extensive practical experience in data analytics roles, within an eCommerce/D2C environment Expert understanding of data mining, data transformation, and statistical methods; advanced SQL and Python/R skills Solid background in data governance and reconciliation, with exposure to financial and ecommerce related metrics Fluency with data visualisation tools and an ability to communicate insights effectively through a variety of platforms Strong management experience and a successful track record of building, inspiring, and leading teams of analysts/data scientists Resilience, pragmatism, and the agility to move quickly, make candid observations, and engage with difficult truths in order to deliver solutions Exceptional communication, presentation, and business partnering skills that inspire confidence in stakeholders at all levels Bachelor's or Master's degree in a numerate discipline (Mathematics, Statistics, Economics, Physics, etc.) Why work with us? At HeliosX, we want to improve healthcare for everyone, and to do this we need a team of brilliant people who share that ambition. We are currently a diverse team of engineers, scientists, clinical researchers, physicians, pharmacists, marketeers, and customer care specialists committed to our mission - but we need more talented folks to join us, if we want to achieve our global ambitions! Aside from working with our all-star team, here are the other benefits of coming on board: Generous equity allocations with significant upside potential 25 Days Holiday (+ all the usual Bank Holidays) Private health insurance, along with extra dental and eye care cover Enhanced parental leave Cycle-to-work Scheme Electric Car Scheme Free Dermatica and MedExpress products every month, as well as family discounts Home office allowance Access to a Headspace subscription, discounted gym memberships, and a learning and development budget (alongside a free Kindle and audible subscription) Do you possess a legal right to work in the UK? This role is office based in Central London 2 days per week, with the rest of the time spent working from home. Please confirm you are happy with this arrangement?
Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden relationships and patterns across billions of data connections deeply, easily and quickly. Customers use Neo4j to gain a deeper understanding and reveal new ways of solving their most pressing problems. Over 75% of Fortune 100 companies use Neo4j, along with a vibrant community of 250,000+ developers, data scientists, and architects across the globe. At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we're disrupting how organizations leverage their data to innovate and stay competitive. The Role: We are seeking a highly skilled product manager to join our dynamic team in the EMEA region, specifically in Sweden, the UK (England), Germany, France, Spain, Italy, and The Netherlands. The ideal candidate will play a pivotal role in optimizing our infrastructure, driving cost-saving initiatives, and ensuring efficient operations across cloud platforms. This role requires strong analytical skills, strategic thinking, and the ability to collaborate effectively with cross-functional teams. This position reports to the product management organization. What You'll Do: Own the infrastructure roadmap, including instance and storage selection, benchmarking new instance types, and providing input into pricing strategies. Develop and own the product roadmap for infrastructure projects across various engineering teams, focusing on areas such as fleet efficiency, networking costs, storage costs, and resource tagging. Ensure seamless launch and availability of regions across different product tiers, collaborating closely with engineering teams as well as product marketing Actively participate in the FinOps forum to drive cost-saving initiatives and optimize resource utilization. Analyze cloud providers' bill components and implement cost control initiatives and best practices to optimize spending. Conduct in-depth analysis of cost structures across cloud platforms (AWS, Azure, GCP) to identify opportunities for optimization. Work closely with the product analytics team to develop reporting mechanisms for the cost domain, enabling data-driven decision-making. Collaborate with internal teams, including Benchmarking, SRE (Site Reliability Engineering), FP&A (Financial Planning & Analysis), and Analytics, to achieve shared goals and objectives. Interface with cloud providers (AWS, Azure, GCP) to stay updated on new services, pricing models, and infrastructure enhancements. Qualifications: 10+ years of professional experience Proven experience (3+ years) as a Product Manager in a SaaS environment, focusing on infrastructure and cost optimization. Strong understanding of cloud computing platforms (AWS, Azure, GCP) and experience with infrastructure-related services. Exceptional analytical skills and ability to translate data insights into actionable strategies. Excellent communication and collaboration skills, with the ability to work effectively across teams and influence stakeholders. Strong project management skills and ability to prioritize and manage multiple initiatives simultaneously. Demonstrated track record of driving results and achieving measurable outcomes in a fast-paced environment. Bachelor's degree in Computer Science, Engineering, Business, or a related field Why Join Neo4j? Neo4j is, without question, the most popular graph database in the world. We have customers in every industry across the globe, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest scaling technology companies in this industry. Well over $100M ARR and still rapidly growing. Raised biggest round of funding in all of database history ($325M Series F). Backed by world class investors like Google Ventures (GV), Neo4j has raised over $582M in funding and is currently valued at $2Bn. This puts them among the most well-funded database companies in history. 75% of Fortune 100 use Neo4j with more than 800 enterprise customers including Comcast, eBay, Adobe, Lyft, UBS, IBM, Volvo Cars and many more. Emil Eifrem (CEO) has built an amazing culture that prides itself on relationships, inclusiveness, innovation and customer success. Countless awards in the industry. Massive Enterprises and individual developers/ data scientists love Neo4j. Strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact Study pegged Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don't meet all of the qualifications. If this is part of the reason you hesitate to apply, we'd encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)- :VALUE ->(relationships) (we)- :FOCUS_ON ->(userSuccess) (we)- :THRIVE_IN ->(:Culture type: 'Open', 'Inclusive' ) (we)- :ASSUME ->(:Intent direction:'Positive' ) (we)- :WELCOME ->(:Discussions nature: 'IntellectuallyHonest' ) (we)- :DELIVER_ON ->(ourCommitments) Are you able to legally work in the region you are applying for? Will you now, or in the future, require sponsorship? We invite applicants to share their demographic background. If you choose to complete this survey, your responses will not affect any hiring decisions, but may be used to identify areas of improvement in our hiring process. How would you describe your gender identity? (Select one) Man Non-binary Woman I prefer to self-describe I don't wish to answer
May 17, 2024
Full time
Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden relationships and patterns across billions of data connections deeply, easily and quickly. Customers use Neo4j to gain a deeper understanding and reveal new ways of solving their most pressing problems. Over 75% of Fortune 100 companies use Neo4j, along with a vibrant community of 250,000+ developers, data scientists, and architects across the globe. At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we're disrupting how organizations leverage their data to innovate and stay competitive. The Role: We are seeking a highly skilled product manager to join our dynamic team in the EMEA region, specifically in Sweden, the UK (England), Germany, France, Spain, Italy, and The Netherlands. The ideal candidate will play a pivotal role in optimizing our infrastructure, driving cost-saving initiatives, and ensuring efficient operations across cloud platforms. This role requires strong analytical skills, strategic thinking, and the ability to collaborate effectively with cross-functional teams. This position reports to the product management organization. What You'll Do: Own the infrastructure roadmap, including instance and storage selection, benchmarking new instance types, and providing input into pricing strategies. Develop and own the product roadmap for infrastructure projects across various engineering teams, focusing on areas such as fleet efficiency, networking costs, storage costs, and resource tagging. Ensure seamless launch and availability of regions across different product tiers, collaborating closely with engineering teams as well as product marketing Actively participate in the FinOps forum to drive cost-saving initiatives and optimize resource utilization. Analyze cloud providers' bill components and implement cost control initiatives and best practices to optimize spending. Conduct in-depth analysis of cost structures across cloud platforms (AWS, Azure, GCP) to identify opportunities for optimization. Work closely with the product analytics team to develop reporting mechanisms for the cost domain, enabling data-driven decision-making. Collaborate with internal teams, including Benchmarking, SRE (Site Reliability Engineering), FP&A (Financial Planning & Analysis), and Analytics, to achieve shared goals and objectives. Interface with cloud providers (AWS, Azure, GCP) to stay updated on new services, pricing models, and infrastructure enhancements. Qualifications: 10+ years of professional experience Proven experience (3+ years) as a Product Manager in a SaaS environment, focusing on infrastructure and cost optimization. Strong understanding of cloud computing platforms (AWS, Azure, GCP) and experience with infrastructure-related services. Exceptional analytical skills and ability to translate data insights into actionable strategies. Excellent communication and collaboration skills, with the ability to work effectively across teams and influence stakeholders. Strong project management skills and ability to prioritize and manage multiple initiatives simultaneously. Demonstrated track record of driving results and achieving measurable outcomes in a fast-paced environment. Bachelor's degree in Computer Science, Engineering, Business, or a related field Why Join Neo4j? Neo4j is, without question, the most popular graph database in the world. We have customers in every industry across the globe, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest scaling technology companies in this industry. Well over $100M ARR and still rapidly growing. Raised biggest round of funding in all of database history ($325M Series F). Backed by world class investors like Google Ventures (GV), Neo4j has raised over $582M in funding and is currently valued at $2Bn. This puts them among the most well-funded database companies in history. 75% of Fortune 100 use Neo4j with more than 800 enterprise customers including Comcast, eBay, Adobe, Lyft, UBS, IBM, Volvo Cars and many more. Emil Eifrem (CEO) has built an amazing culture that prides itself on relationships, inclusiveness, innovation and customer success. Countless awards in the industry. Massive Enterprises and individual developers/ data scientists love Neo4j. Strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact Study pegged Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don't meet all of the qualifications. If this is part of the reason you hesitate to apply, we'd encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)- :VALUE ->(relationships) (we)- :FOCUS_ON ->(userSuccess) (we)- :THRIVE_IN ->(:Culture type: 'Open', 'Inclusive' ) (we)- :ASSUME ->(:Intent direction:'Positive' ) (we)- :WELCOME ->(:Discussions nature: 'IntellectuallyHonest' ) (we)- :DELIVER_ON ->(ourCommitments) Are you able to legally work in the region you are applying for? Will you now, or in the future, require sponsorship? We invite applicants to share their demographic background. If you choose to complete this survey, your responses will not affect any hiring decisions, but may be used to identify areas of improvement in our hiring process. How would you describe your gender identity? (Select one) Man Non-binary Woman I prefer to self-describe I don't wish to answer
Job ID: Evi Technologies Limited As a Principal Scientist in Amazon's Artificial General Intelligence division, you will have deep subject matter expertise in the area of large language models and generative AI. You will provide thought leadership on and lead strategic efforts in the personalization of conversational assistant systems, including but not limited to retrieval augmented generation of large language models across a wide range of context providers, privacy and bias/fairness considerations in personalization, work with product, science and engineering teams to deliver short- and long-term personalization solutions that scale to millions of users and a variety of different conversational assistants. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will collaborate to design solutions and resolve issues across different organizations at Amazon (e.g. LLM foundational model training and fine-tuning teams, information providers, Amazon businesses like Audible, Kindle and Shopping) to deliver systems at Amazon scale to bring value to billions of Amazon customers. Working across academic partners and in-house experts you will be part of a cutting edge applied research team, and will help to drive this knowledge into our science community through mentoring and knowledge sharing. Key job responsibilities You will be a hands on contributor to science at Amazon. You will help raise the scientific bar by mentoring, educating, and publishing in your field. You will help build the scientific roadmap for artificial general intelligence at Amazon scale, leaning into personalization elements. As a key scientist and influencer in the company you will work on the forefront of innovation in AI to apply research to real products. You will be a technical leader in your domain. About the team The AGI Personalization team uses various contextual signals to personalize Large Language Model output for our customers while maintaining privacy and security of customer data. We work across multiple Amazon products, including Alexa, to enhance the user experience by bringing more personal value and relevance to customers interactions. We are open to hiring candidates to work out of one of the following locations: Cambridge, GBR London, GBR BASIC QUALIFICATIONS Graduate degree in Computer science/Math or related field. Experience in building complex, real-time systems involving AI, ML, and NLP with successful delivery to customers. Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. Ability to take a project from requirements gathering and design to actual product launch. Computer Science fundamentals in data structures, algorithm design and complexity analysis. Ability to develop machine learning platform strategies and influence the organization adopting new approaches, concepts and paradigms. Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead science efforts to meet aggressive timelines with optimal solutions. Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science. PREFERRED QUALIFICATIONS 10+ years of relevant, broad research experience after PhD degree or equivalent. Deep and broad expertise across several computer science areas, in particular in Machine Learning and large-scale generative models with a focus on technologies related to conversational AI systems and/or personalization & recommender systems. Experience with structured (e.g. knowledge graphs) and/or unstructured knowledge sources. Strong core competency in mathematics and statistics. Track record of solving complex technical problems. Recognized thought leader in your area(s). Publications at top-tier peer-reviewed conferences or journals. Strong prior experience with mentorship and/or management of senior scientists and engineers. Thinks strategically, but stays on top of tactical execution. Exhibits excellent business judgment; balances business, product, and technology very well. Effective verbal and written communication skills with non-technical and technical audiences. Experience working with real-world data sets and building scalable models from large-scale data. 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. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial (tel:). If calling from Ireland, please dial (tel:). Based on your recent activity, you may be interested in: Posted: April 3, 2024 (Updated about 17 hours ago) Posted: April 4, 2024 (Updated about 10 hours ago) Posted: October 26, 2023 (Updated about 2 months ago) Posted: April 16, 2024 (Updated about 8 hours ago) Posted: March 7, 2024 (Updated 13 days ago) 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.
May 17, 2024
Full time
Job ID: Evi Technologies Limited As a Principal Scientist in Amazon's Artificial General Intelligence division, you will have deep subject matter expertise in the area of large language models and generative AI. You will provide thought leadership on and lead strategic efforts in the personalization of conversational assistant systems, including but not limited to retrieval augmented generation of large language models across a wide range of context providers, privacy and bias/fairness considerations in personalization, work with product, science and engineering teams to deliver short- and long-term personalization solutions that scale to millions of users and a variety of different conversational assistants. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will collaborate to design solutions and resolve issues across different organizations at Amazon (e.g. LLM foundational model training and fine-tuning teams, information providers, Amazon businesses like Audible, Kindle and Shopping) to deliver systems at Amazon scale to bring value to billions of Amazon customers. Working across academic partners and in-house experts you will be part of a cutting edge applied research team, and will help to drive this knowledge into our science community through mentoring and knowledge sharing. Key job responsibilities You will be a hands on contributor to science at Amazon. You will help raise the scientific bar by mentoring, educating, and publishing in your field. You will help build the scientific roadmap for artificial general intelligence at Amazon scale, leaning into personalization elements. As a key scientist and influencer in the company you will work on the forefront of innovation in AI to apply research to real products. You will be a technical leader in your domain. About the team The AGI Personalization team uses various contextual signals to personalize Large Language Model output for our customers while maintaining privacy and security of customer data. We work across multiple Amazon products, including Alexa, to enhance the user experience by bringing more personal value and relevance to customers interactions. We are open to hiring candidates to work out of one of the following locations: Cambridge, GBR London, GBR BASIC QUALIFICATIONS Graduate degree in Computer science/Math or related field. Experience in building complex, real-time systems involving AI, ML, and NLP with successful delivery to customers. Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements. Ability to take a project from requirements gathering and design to actual product launch. Computer Science fundamentals in data structures, algorithm design and complexity analysis. Ability to develop machine learning platform strategies and influence the organization adopting new approaches, concepts and paradigms. Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead science efforts to meet aggressive timelines with optimal solutions. Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science. PREFERRED QUALIFICATIONS 10+ years of relevant, broad research experience after PhD degree or equivalent. Deep and broad expertise across several computer science areas, in particular in Machine Learning and large-scale generative models with a focus on technologies related to conversational AI systems and/or personalization & recommender systems. Experience with structured (e.g. knowledge graphs) and/or unstructured knowledge sources. Strong core competency in mathematics and statistics. Track record of solving complex technical problems. Recognized thought leader in your area(s). Publications at top-tier peer-reviewed conferences or journals. Strong prior experience with mentorship and/or management of senior scientists and engineers. Thinks strategically, but stays on top of tactical execution. Exhibits excellent business judgment; balances business, product, and technology very well. Effective verbal and written communication skills with non-technical and technical audiences. Experience working with real-world data sets and building scalable models from large-scale data. 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. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial (tel:). If calling from Ireland, please dial (tel:). Based on your recent activity, you may be interested in: Posted: April 3, 2024 (Updated about 17 hours ago) Posted: April 4, 2024 (Updated about 10 hours ago) Posted: October 26, 2023 (Updated about 2 months ago) Posted: April 16, 2024 (Updated about 8 hours ago) Posted: March 7, 2024 (Updated 13 days ago) 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.
Job ID: Amazon EU SARL (UK Branch) - Bachelor's degree or equivalent - Experience owning/driving roadmap strategy and definition - Experience with end to end product delivery - Experience with feature delivery and tradeoffs of a product - Experience owning technology products - Experience owning feature delivery and tradeoffs of a product - Experience in product or program management, product marketing, business development or technology - Experience in influencing senior leadership through data driven insights - Experience working with the MS Office suite (Word, Excel, Outlook), SQL and Python in a professional environment DESCRIPTION Are you looking to build and scale a new and growing business with Amazon? Are you interested in managing one of Amazon's new business through its start-up phase? If so, you might be interested in this role with Amazon Freight. Amazon Freight - Amazon's external facing Freight service - is hiring a Senior cost Analytics Manager to drive cost optimization and financial efficiency across our supply programs. You will be responsible for formulating & implementing cost strategies and initiatives that reduce supply cost, enabling long term business growth. You will take a pivotal role in orchestrating designing solutions to achieve cost reporting consistency across our Freight business in the US and EU. Key job responsibilities - Define and execute cost optimization strategy and roadmap for Amazon Freight - Own and deliver on cost goals - Establish synergies with surface transportation network and identify opportunities to reduce cost - Conduct cost analysis, effectively communicate complex findings and recommendations with senior leadership, cross-functional teams, and global stakeholders, foster strong relationships and drive consensus. - Design analytical approach, deliver findings using data, visualizations, and effective storytelling techniques - Create new tools and business processes that simplify, standardize, and enable cost reporting - Be resourceful in pulling and cross referencing data from a variety of sources A day in the life About you: - You are a problem solver. You excel in breaking down complex problems into solvable pieces. - You are tech and data savvy. You speak data and you are able to come up meaningful insights based on data. - You are comfortable working in a startup environment. And you are capable of dealing with ambiguity and leading the team through it. - You obsess over shipper experience. You prioritize long term over short term gains. - You are a confident communicator and you can effectively drive consensus within the team. About the team Amazon Freight allows both small and large businesses to use Amazon to transport products in bulk across Europe. This is an innovative technology-driven service currently growing rapidly in Europe. We are a technology powered business, and we utilize Amazon's expertise in technology and operations to delight our shippers. Amazon Freight is part of the Amazon Transportation Services organization responsible for many of Amazon's best-in-class logistics and transportation operations. We are looking for a London based Senior Cost Analytics Manager who will be responsible to improve our trailer execution costs in the EU. In this role, you will be focused on identifying execution synergies with the network, sizing network benefits, standardizing cost reporting and ultimately reduce cost. You will own metrics related to our trailer supply cost and network benefits. You will partner with business analysts, Product Manager, engineers, data scientist and finance launching and driving initiatives that reduce cost. We are open to hiring candidates to work out of one of the following locations: London, GBR PREFERRED QUALIFICATIONS - Experience working across functional teams and senior stakeholders - Experience working with Quicksight/Tableau 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. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial (tel:). If calling from Ireland, please dial (tel:). Posted: April 9, 2024 (Updated about 13 hours ago) Posted: March 6, 2024 (Updated about 15 hours ago) Posted: March 20, 2024 (Updated about 23 hours ago) Posted: April 8, 2024 (Updated 1 day ago) Posted: February 29, 2024 (Updated 1 day ago) 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.
May 17, 2024
Full time
Job ID: Amazon EU SARL (UK Branch) - Bachelor's degree or equivalent - Experience owning/driving roadmap strategy and definition - Experience with end to end product delivery - Experience with feature delivery and tradeoffs of a product - Experience owning technology products - Experience owning feature delivery and tradeoffs of a product - Experience in product or program management, product marketing, business development or technology - Experience in influencing senior leadership through data driven insights - Experience working with the MS Office suite (Word, Excel, Outlook), SQL and Python in a professional environment DESCRIPTION Are you looking to build and scale a new and growing business with Amazon? Are you interested in managing one of Amazon's new business through its start-up phase? If so, you might be interested in this role with Amazon Freight. Amazon Freight - Amazon's external facing Freight service - is hiring a Senior cost Analytics Manager to drive cost optimization and financial efficiency across our supply programs. You will be responsible for formulating & implementing cost strategies and initiatives that reduce supply cost, enabling long term business growth. You will take a pivotal role in orchestrating designing solutions to achieve cost reporting consistency across our Freight business in the US and EU. Key job responsibilities - Define and execute cost optimization strategy and roadmap for Amazon Freight - Own and deliver on cost goals - Establish synergies with surface transportation network and identify opportunities to reduce cost - Conduct cost analysis, effectively communicate complex findings and recommendations with senior leadership, cross-functional teams, and global stakeholders, foster strong relationships and drive consensus. - Design analytical approach, deliver findings using data, visualizations, and effective storytelling techniques - Create new tools and business processes that simplify, standardize, and enable cost reporting - Be resourceful in pulling and cross referencing data from a variety of sources A day in the life About you: - You are a problem solver. You excel in breaking down complex problems into solvable pieces. - You are tech and data savvy. You speak data and you are able to come up meaningful insights based on data. - You are comfortable working in a startup environment. And you are capable of dealing with ambiguity and leading the team through it. - You obsess over shipper experience. You prioritize long term over short term gains. - You are a confident communicator and you can effectively drive consensus within the team. About the team Amazon Freight allows both small and large businesses to use Amazon to transport products in bulk across Europe. This is an innovative technology-driven service currently growing rapidly in Europe. We are a technology powered business, and we utilize Amazon's expertise in technology and operations to delight our shippers. Amazon Freight is part of the Amazon Transportation Services organization responsible for many of Amazon's best-in-class logistics and transportation operations. We are looking for a London based Senior Cost Analytics Manager who will be responsible to improve our trailer execution costs in the EU. In this role, you will be focused on identifying execution synergies with the network, sizing network benefits, standardizing cost reporting and ultimately reduce cost. You will own metrics related to our trailer supply cost and network benefits. You will partner with business analysts, Product Manager, engineers, data scientist and finance launching and driving initiatives that reduce cost. We are open to hiring candidates to work out of one of the following locations: London, GBR PREFERRED QUALIFICATIONS - Experience working across functional teams and senior stakeholders - Experience working with Quicksight/Tableau 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. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial (tel:). If calling from Ireland, please dial (tel:). Posted: April 9, 2024 (Updated about 13 hours ago) Posted: March 6, 2024 (Updated about 15 hours ago) Posted: March 20, 2024 (Updated about 23 hours ago) Posted: April 8, 2024 (Updated 1 day ago) Posted: February 29, 2024 (Updated 1 day ago) 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.
Group Head of Data Engineering & Governance Are you an accomplished Head of Data Engineering & Governance looking for the next move in your career? InX are currently working on a retained Search basis with a Financial Services organisation to place a Group Head of Data in the CIO's senior management team. The Role As the Group Head of Data Engineering & Governance, you will be responsible for leading the data engineering team in designing, implementing, and maintaining scalable data pipelines and infrastructure. You will collaborate closely with cross-functional teams to ensure the integrity, availability, and security of the organisation's data, while also driving innovation in data engineering practices. You will work closely with the Data Science and Analytics team (which sits outside of the remit of this position) but will be responsible for the growth and capability of your own team in the Data Engineering & Governance space. Key Responsibilities: Lead and mentor a team of Data Engineers to design, build, and maintain robust data pipelines and infrastructure. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Develop and implement best practices for Data Governance, security, and compliance. Drive innovation in Data Engineering technologies and methodologies to enhance efficiency and scalability. Work closely with Data Scientists and analysts to ensure timely and accurate delivery of data for analysis and reporting. Evaluate and select appropriate tools and technologies to support the company's data infrastructure needs. Manage relationships with external vendors and partners as needed. Skills and Experience: Strong leadership experience in managing and developing Data Governance and engineering teams, ideally in a customer centric industry. Experience of Data Governance implementation and knowledge in Data Security, and compliance requirements Significant leadership experience and strong interpersonal skills, with the ability to navigate and influence in a complex, dynamic highly regulated environment. Excellent experience in Data Governance and Engineering, which has been mainly focused in a highly regulated environment such as Financial Services or related industries. Knowledge in Data Architecture, ETL and big data. Experience with Data Governance frameworks and regulatory requirements within Financial Services. Strong leadership qualities, those who have the ability to drive and influence change. If you feel you have the skills and experience for this position, please send your CV in the first instance.
May 17, 2024
Full time
Group Head of Data Engineering & Governance Are you an accomplished Head of Data Engineering & Governance looking for the next move in your career? InX are currently working on a retained Search basis with a Financial Services organisation to place a Group Head of Data in the CIO's senior management team. The Role As the Group Head of Data Engineering & Governance, you will be responsible for leading the data engineering team in designing, implementing, and maintaining scalable data pipelines and infrastructure. You will collaborate closely with cross-functional teams to ensure the integrity, availability, and security of the organisation's data, while also driving innovation in data engineering practices. You will work closely with the Data Science and Analytics team (which sits outside of the remit of this position) but will be responsible for the growth and capability of your own team in the Data Engineering & Governance space. Key Responsibilities: Lead and mentor a team of Data Engineers to design, build, and maintain robust data pipelines and infrastructure. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Develop and implement best practices for Data Governance, security, and compliance. Drive innovation in Data Engineering technologies and methodologies to enhance efficiency and scalability. Work closely with Data Scientists and analysts to ensure timely and accurate delivery of data for analysis and reporting. Evaluate and select appropriate tools and technologies to support the company's data infrastructure needs. Manage relationships with external vendors and partners as needed. Skills and Experience: Strong leadership experience in managing and developing Data Governance and engineering teams, ideally in a customer centric industry. Experience of Data Governance implementation and knowledge in Data Security, and compliance requirements Significant leadership experience and strong interpersonal skills, with the ability to navigate and influence in a complex, dynamic highly regulated environment. Excellent experience in Data Governance and Engineering, which has been mainly focused in a highly regulated environment such as Financial Services or related industries. Knowledge in Data Architecture, ETL and big data. Experience with Data Governance frameworks and regulatory requirements within Financial Services. Strong leadership qualities, those who have the ability to drive and influence change. If you feel you have the skills and experience for this position, please send your CV in the first instance.
Statistician/Python/Models/Algorithms/Datamodelling/Quantitative/Economist Role: Senior Statistician Company: AI PropTech Salary: up to £80,000 Location: London - Hybrid Responsibilities: Explore the data through thorough analysis to unveil statistical indicators and patterns within our datasets. Examine the structure and integrity of the data, detecting anomalies or discrepancies. Your proficiency in statistical analysis, Datamodelling, and problem-solving will play a critical role in guiding the trajectory of our products and services. Gauge the significance and scale of the data to support decision-making. Choose appropriate statistical methods and algorithms tailored to project needs. Prototype data models to tackle real-world issues and refine them as necessary. Utilise Python (and SQL) to develop and enhance statistical models. Key requirements: Demonstrated expertise in roles such as Statistician, Trader, Economist, Quantitative (Quant) Analyst, or comparable positions. Proficient in Python, SQL, and Excel for data manipulation, analysis, and modelling at a professional level. Proven track record of collaborating within cross-functional product teams, including software engineers, product managers, and data scientists. Hands-on experience with data warehousing (DWH) and handling large datasets in commercial environments. Statistician/Python/Models/Algorithms/Datamodelling/Quantitative/Economist
May 16, 2024
Full time
Statistician/Python/Models/Algorithms/Datamodelling/Quantitative/Economist Role: Senior Statistician Company: AI PropTech Salary: up to £80,000 Location: London - Hybrid Responsibilities: Explore the data through thorough analysis to unveil statistical indicators and patterns within our datasets. Examine the structure and integrity of the data, detecting anomalies or discrepancies. Your proficiency in statistical analysis, Datamodelling, and problem-solving will play a critical role in guiding the trajectory of our products and services. Gauge the significance and scale of the data to support decision-making. Choose appropriate statistical methods and algorithms tailored to project needs. Prototype data models to tackle real-world issues and refine them as necessary. Utilise Python (and SQL) to develop and enhance statistical models. Key requirements: Demonstrated expertise in roles such as Statistician, Trader, Economist, Quantitative (Quant) Analyst, or comparable positions. Proficient in Python, SQL, and Excel for data manipulation, analysis, and modelling at a professional level. Proven track record of collaborating within cross-functional product teams, including software engineers, product managers, and data scientists. Hands-on experience with data warehousing (DWH) and handling large datasets in commercial environments. Statistician/Python/Models/Algorithms/Datamodelling/Quantitative/Economist
Site Name: London The Stanley Building, USA - Massachusetts - Cambridge, USA - Pennsylvania - Upper Providence Posted Date: May At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking a highly skilled and experienced Manager for our Computing Platforms Products. In this role, you will be responsible for developing the product strategy of our Computing Platform to meet customer needs. You will partner closely with Onyx's organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power R&D workloads. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of our Compute platform including the migration of existing GSK applications to the platform. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx Compute Platform Products. You will be responsible for understanding the business areas using Onyx, Platform capabilities, translating customer needs into requirements aligned with standard frameworks such as ontologies and engineering pipelines, and ensure our R&D teams receive the solutions they need to succeed. In this role you will Product Strategy: Develop and execute a comprehensive product strategy for our AI/ML compute platform, aligning with the Onyx's overall goals and objectives. Roadmap Development: Define and prioritize features, enhancements, and functionalities for the platform based on user analysis, customer feedback, and business requirements. Cross-functional Collaboration: Collaborate closely with engineering, AI/ML, and portfolio/program teams to ensure successful product development and deployment. Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders to understand their needs, gather feedback, and incorporate it into product planning and development processes. Product Launch: Plan and oversee product launches, ensuring effective communication, documentation, and training to drive product adoption and success. Performance Measurement: Define key product metrics, establish monitoring systems, and regularly evaluate and report on the performance and success of the compute platform. Product Ambassador: Serve as an ambassador of the compute platform, effectively communicating its value and benefits to GSK Research and Development leadership and identifying potential customers. Industry Expertise: Stay up to date with the latest advancements and trends in AI, machine learning, and compute platforms, applying industry knowledge to drive innovation and competitive advantage. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Significant technical product management experience Experience of cloud computing management for scientific computing, data science and/or artificial intelligence model training with a major cloud provider (AWS, Google Cloud, Azure etc) Strong relevant experience in Data Science, Scientific Computing, Machine Learning/AI, Computer Science, Platform Engineering, or related discipline. Excellent communication, collaboration, and stakeholder management skills. Strong leadership abilities and a self-driven, proactive approach. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Technical Knowledge: Experience with andstrong understanding of on-prem and cloud computing, and software development practices; familiarity with MLOps and distributed computing is highly desirable. Experience with containers and virtual machines including Kubernetes, Slurm or other orchestration tools. Knowledge of modern infrastructure including Infrastructure-as-code tools (e.g. Terraform, Ansible ) Familiar with software engineering ways of working and engagement model Strong proficiency in utilizing various product management tools, including Jira and Confluence. Proven track record of managing developer platforms, tools, and services. Strong proficiency in utilizing various product management tools, including Jira and Confluence. Prior product management experience of enterprise AI/ML platform is strongly preferred. Experience with bioinformatics/genomics database, biological datasets, Pharma R&D is a plus, but not required. Strategic Thinker: Proven track record in developing and executing product strategies that drive business growth and customer satisfaction. Stakeholder Skills: Demonstrated ability to keep cross-functional teams, set clear objectives, and foster a collaborative and innovative work environment. Can lead without authority. Customer Focus: A customer-centric mindset with a deep understanding of customer needs and the ability to translate them into effective product solutions. Analytical and Data-Driven: Strong analytical skills with the ability to gather and interpret data, perform market research, and make data-driven decisions. Excellent Communication: Exceptional written and verbal communication skills, with the ability to effectively present complex ideas and concepts to both technical and non-technical audiences. Adaptability: Thrives in a fast-paced, dynamic environment and can adapt quickly to changing priorities and business needs. Closing Date for Applications: Wednesday 29th May 2024 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included . click apply for full job details
May 16, 2024
Full time
Site Name: London The Stanley Building, USA - Massachusetts - Cambridge, USA - Pennsylvania - Upper Providence Posted Date: May At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking a highly skilled and experienced Manager for our Computing Platforms Products. In this role, you will be responsible for developing the product strategy of our Computing Platform to meet customer needs. You will partner closely with Onyx's organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power R&D workloads. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of our Compute platform including the migration of existing GSK applications to the platform. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx Compute Platform Products. You will be responsible for understanding the business areas using Onyx, Platform capabilities, translating customer needs into requirements aligned with standard frameworks such as ontologies and engineering pipelines, and ensure our R&D teams receive the solutions they need to succeed. In this role you will Product Strategy: Develop and execute a comprehensive product strategy for our AI/ML compute platform, aligning with the Onyx's overall goals and objectives. Roadmap Development: Define and prioritize features, enhancements, and functionalities for the platform based on user analysis, customer feedback, and business requirements. Cross-functional Collaboration: Collaborate closely with engineering, AI/ML, and portfolio/program teams to ensure successful product development and deployment. Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders to understand their needs, gather feedback, and incorporate it into product planning and development processes. Product Launch: Plan and oversee product launches, ensuring effective communication, documentation, and training to drive product adoption and success. Performance Measurement: Define key product metrics, establish monitoring systems, and regularly evaluate and report on the performance and success of the compute platform. Product Ambassador: Serve as an ambassador of the compute platform, effectively communicating its value and benefits to GSK Research and Development leadership and identifying potential customers. Industry Expertise: Stay up to date with the latest advancements and trends in AI, machine learning, and compute platforms, applying industry knowledge to drive innovation and competitive advantage. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Significant technical product management experience Experience of cloud computing management for scientific computing, data science and/or artificial intelligence model training with a major cloud provider (AWS, Google Cloud, Azure etc) Strong relevant experience in Data Science, Scientific Computing, Machine Learning/AI, Computer Science, Platform Engineering, or related discipline. Excellent communication, collaboration, and stakeholder management skills. Strong leadership abilities and a self-driven, proactive approach. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Technical Knowledge: Experience with andstrong understanding of on-prem and cloud computing, and software development practices; familiarity with MLOps and distributed computing is highly desirable. Experience with containers and virtual machines including Kubernetes, Slurm or other orchestration tools. Knowledge of modern infrastructure including Infrastructure-as-code tools (e.g. Terraform, Ansible ) Familiar with software engineering ways of working and engagement model Strong proficiency in utilizing various product management tools, including Jira and Confluence. Proven track record of managing developer platforms, tools, and services. Strong proficiency in utilizing various product management tools, including Jira and Confluence. Prior product management experience of enterprise AI/ML platform is strongly preferred. Experience with bioinformatics/genomics database, biological datasets, Pharma R&D is a plus, but not required. Strategic Thinker: Proven track record in developing and executing product strategies that drive business growth and customer satisfaction. Stakeholder Skills: Demonstrated ability to keep cross-functional teams, set clear objectives, and foster a collaborative and innovative work environment. Can lead without authority. Customer Focus: A customer-centric mindset with a deep understanding of customer needs and the ability to translate them into effective product solutions. Analytical and Data-Driven: Strong analytical skills with the ability to gather and interpret data, perform market research, and make data-driven decisions. Excellent Communication: Exceptional written and verbal communication skills, with the ability to effectively present complex ideas and concepts to both technical and non-technical audiences. Adaptability: Thrives in a fast-paced, dynamic environment and can adapt quickly to changing priorities and business needs. Closing Date for Applications: Wednesday 29th May 2024 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included . click apply for full job details
Front End Developer (React) - £68,000 Manchester City Centre Tech Stack - React, React-Redux, JavaScript (7/8), AWS, RESTful APIs, Node/Typescript, CI/CDMy global automotive client is looking to onboard a Senior Front End Developer with strong commercial React experience to join a brand-new squad working on greenfield platform/systems that will drive forward the technology behind autonomous and driverless vehicles! These systems are driven massively by the data captured from the vehicles and using assisted driving data that will ultimately build the machine learning models. As a Front End Developer, you will build the UI interface into the data lake and work very closely with back-end developers and data scientists.Reporting into the Principal Developer of the Innovations team this is a key role within the new squad. As an experienced Front End Developer within this squad, it is crucial you have the personality and drive to take real ownership of the delivery. Additionally, whilst this role is Front End and JavaScript / React focused in terms of delivery a knowledge of back-end systems/Java and how to build/maintain APIs would be highly beneficial.In terms of experience, you will be well versed in React, React-Redux and ideally have some knowledge across other frameworks and libraries (Vue / Angular). You will be confident working with AWS and cloud services with exposure to working with RESTful APIs. Any experience with NodeJS/Typescript would be beneficial. Like to hear more? Don't worry if your CV isn't yet up to date, call Scott for an informal discussion -Additionally, send your current CV to - comAlso, please feel free to add me on LinkedIn. Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you refer somebody else who fills the role! We also offer an iPad if you refer a new client to us and we recruit for them. Follow us on Facebook - Circle Recruitment , Twitter and LinkedIn - Circle Recruitment.
May 15, 2024
Full time
Front End Developer (React) - £68,000 Manchester City Centre Tech Stack - React, React-Redux, JavaScript (7/8), AWS, RESTful APIs, Node/Typescript, CI/CDMy global automotive client is looking to onboard a Senior Front End Developer with strong commercial React experience to join a brand-new squad working on greenfield platform/systems that will drive forward the technology behind autonomous and driverless vehicles! These systems are driven massively by the data captured from the vehicles and using assisted driving data that will ultimately build the machine learning models. As a Front End Developer, you will build the UI interface into the data lake and work very closely with back-end developers and data scientists.Reporting into the Principal Developer of the Innovations team this is a key role within the new squad. As an experienced Front End Developer within this squad, it is crucial you have the personality and drive to take real ownership of the delivery. Additionally, whilst this role is Front End and JavaScript / React focused in terms of delivery a knowledge of back-end systems/Java and how to build/maintain APIs would be highly beneficial.In terms of experience, you will be well versed in React, React-Redux and ideally have some knowledge across other frameworks and libraries (Vue / Angular). You will be confident working with AWS and cloud services with exposure to working with RESTful APIs. Any experience with NodeJS/Typescript would be beneficial. Like to hear more? Don't worry if your CV isn't yet up to date, call Scott for an informal discussion -Additionally, send your current CV to - comAlso, please feel free to add me on LinkedIn. Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you refer somebody else who fills the role! We also offer an iPad if you refer a new client to us and we recruit for them. Follow us on Facebook - Circle Recruitment , Twitter and LinkedIn - Circle Recruitment.
This role offers a competitive salary, hybrid working, 28 days holiday a year plus Bank Holidays and a fantastic pension scheme. Location: London/Hybrid (5-8 days in the office per month) Salary £80,000 - £90,000 per annum You will need to submit a cover letter explaining how you meet the capabilities for the role, alongside your CV for your application to be considered. Application closing date E.O.D 27th May 2024. 1st round Interviews to take place at our London office w/c 3rd June. About the role We have an exciting opportunity for a senior expert on digital and data policy to join Which? and drive the organisation's work to understand the impact of digital markets, new technology and data use have on consumers and identify what changes may be needed to make sure they enjoy the benefits delivered by these markets without suffering harm. This is a high profile role, reporting to the Director of Policy and Advocacy and Executive Committee member. You will be responsible for developing Which? 's policy position on digital and data and making sure development and regulation of digital across markets and sectors deliver good outcomes for consumers. You can read about our policy and advocacy work in this area in our Policy and Insight website . This is an ambitious and unique opportunity to: Lead our Digital Policy Team and our cross-organisational influencing priorities in the digital space. Be responsible for developing high-quality, robust policy outcomes and solutions Which? should pursue to tackle online and digital infrastructure harms based on the evidence and understanding you, your team and the wider organisation. Develop strong relationships across sectors where digital is transforming consumer experiences of services and products, establishing yourself and Which? more generally with big and small tech, regulators, policy-makers and government Continue building our understanding of what is going on in digital innovation and its application that can and will impact on consumers, producing an ongoing clear plan to cascade this across the organisation Make sure that our views and policy positions are written up and communicated in the most effective way to influence and ensure that consumers' views and rights are represented and protected. As part of the extended leadership team play an active role in the management of the Advocacy directorate. The policy team is part of the Advocacy Group that includes the campaigns team, external affairs and a multidiciplinary analytical team including researchers, data scientists and economists. About you: Significant knowledge and experience of working on digital issues or data Proven experience of developing and driving policy analysis in market-based situations Strong proven team management,leadership skills and experience of utilising multidisciplinary teams to deliver impact to deadlines. Skilled influencer with excellent written and oral communication skills, who can make the complex simple for a wide range of stakeholders Confident public speaker with experience of influencing opportunities including roundtables, podium speeches and senior stakeholder networking. Significant experience of cultivating relationships with senior stakeholders in businesses and Government. This is a very important role for Which? covering the range of digital life issues from connectivity to how digital marketplaces work. So we'll be looking for you to get to the root of the issue. You will be able to build strong relationships across new and existing networks, and be confident in influencing industry experts and bringing people with you. Your ability to communicate effectively to audiences inside and outside Which? will drive forward change and help position Which? as the pre-eminent force driving change for and with consumers in this area. We also have these benefits for you to consider: 35 hour working week Generous 28 days holiday a year plus Bank Holidays & options to buy additional days Award winning pension scheme - when you pay in 3%,Which? paysin 6% (rising to 11% after one year of service.) Discount site Sodexo which offers large off every day shopping and holidays Annual Bonus (depending on employee and company performance) Healthcare insurance & Private medical insurance and opportunity to participate in Vitality rewards programme (at 6 months) A discretionary death in service benefit provision equivalent to six times your annual salary Free access to Which? member content and free access to Which? money and legal helplines Work from (almost) anywhere" for 4 weeks of the year policy The interview process for this role involves:- An interview at our London offices (approximately 45-90 minutes) consisting of values and experience-based competency questions. 2nd face-to-face interview with a pre-interview task. About Which? We promote a great work-life balance (all our roles are now hybrid), offering flexible working options in addition to a full time working week (35 hours) e.g. part time or job shares where possible. If you wish to discuss any of these options, please contact the Resourcing team at Which? is the UK's consumer champion, here to make life simpler, fairer and safer for everyone. Read all about us on our website . At Which? we value diversity and we're committed to creating an inclusive culture where everyone is able to be themselves and to reach their full potential. We are proud that we are in the 'Top 25 Inclusive Employers' List and currently ranking 16th. We want to receive applications from everyone. We believe that a diverse workforce helps us to understand and create a positive impact for consumers. As a Disability Confident Leader, we ensure that everyone can apply and be part of our recruitment processes and so we'll make reasonable adjustments if you need them - just let us know when you apply. If you need assistance with applying (i.e., would like to apply by phone or post), email . Find out more about the Disability Confident Interview Scheme here . Please note you must meet the essential criteria listed within the Role Profile, to have your application reviewed and we reserve the right to withdraw this advert at any given time due to the number of applications received . Role Profile Template - Head of Digital life and Scams policy.pdf
May 15, 2024
Full time
This role offers a competitive salary, hybrid working, 28 days holiday a year plus Bank Holidays and a fantastic pension scheme. Location: London/Hybrid (5-8 days in the office per month) Salary £80,000 - £90,000 per annum You will need to submit a cover letter explaining how you meet the capabilities for the role, alongside your CV for your application to be considered. Application closing date E.O.D 27th May 2024. 1st round Interviews to take place at our London office w/c 3rd June. About the role We have an exciting opportunity for a senior expert on digital and data policy to join Which? and drive the organisation's work to understand the impact of digital markets, new technology and data use have on consumers and identify what changes may be needed to make sure they enjoy the benefits delivered by these markets without suffering harm. This is a high profile role, reporting to the Director of Policy and Advocacy and Executive Committee member. You will be responsible for developing Which? 's policy position on digital and data and making sure development and regulation of digital across markets and sectors deliver good outcomes for consumers. You can read about our policy and advocacy work in this area in our Policy and Insight website . This is an ambitious and unique opportunity to: Lead our Digital Policy Team and our cross-organisational influencing priorities in the digital space. Be responsible for developing high-quality, robust policy outcomes and solutions Which? should pursue to tackle online and digital infrastructure harms based on the evidence and understanding you, your team and the wider organisation. Develop strong relationships across sectors where digital is transforming consumer experiences of services and products, establishing yourself and Which? more generally with big and small tech, regulators, policy-makers and government Continue building our understanding of what is going on in digital innovation and its application that can and will impact on consumers, producing an ongoing clear plan to cascade this across the organisation Make sure that our views and policy positions are written up and communicated in the most effective way to influence and ensure that consumers' views and rights are represented and protected. As part of the extended leadership team play an active role in the management of the Advocacy directorate. The policy team is part of the Advocacy Group that includes the campaigns team, external affairs and a multidiciplinary analytical team including researchers, data scientists and economists. About you: Significant knowledge and experience of working on digital issues or data Proven experience of developing and driving policy analysis in market-based situations Strong proven team management,leadership skills and experience of utilising multidisciplinary teams to deliver impact to deadlines. Skilled influencer with excellent written and oral communication skills, who can make the complex simple for a wide range of stakeholders Confident public speaker with experience of influencing opportunities including roundtables, podium speeches and senior stakeholder networking. Significant experience of cultivating relationships with senior stakeholders in businesses and Government. This is a very important role for Which? covering the range of digital life issues from connectivity to how digital marketplaces work. So we'll be looking for you to get to the root of the issue. You will be able to build strong relationships across new and existing networks, and be confident in influencing industry experts and bringing people with you. Your ability to communicate effectively to audiences inside and outside Which? will drive forward change and help position Which? as the pre-eminent force driving change for and with consumers in this area. We also have these benefits for you to consider: 35 hour working week Generous 28 days holiday a year plus Bank Holidays & options to buy additional days Award winning pension scheme - when you pay in 3%,Which? paysin 6% (rising to 11% after one year of service.) Discount site Sodexo which offers large off every day shopping and holidays Annual Bonus (depending on employee and company performance) Healthcare insurance & Private medical insurance and opportunity to participate in Vitality rewards programme (at 6 months) A discretionary death in service benefit provision equivalent to six times your annual salary Free access to Which? member content and free access to Which? money and legal helplines Work from (almost) anywhere" for 4 weeks of the year policy The interview process for this role involves:- An interview at our London offices (approximately 45-90 minutes) consisting of values and experience-based competency questions. 2nd face-to-face interview with a pre-interview task. About Which? We promote a great work-life balance (all our roles are now hybrid), offering flexible working options in addition to a full time working week (35 hours) e.g. part time or job shares where possible. If you wish to discuss any of these options, please contact the Resourcing team at Which? is the UK's consumer champion, here to make life simpler, fairer and safer for everyone. Read all about us on our website . At Which? we value diversity and we're committed to creating an inclusive culture where everyone is able to be themselves and to reach their full potential. We are proud that we are in the 'Top 25 Inclusive Employers' List and currently ranking 16th. We want to receive applications from everyone. We believe that a diverse workforce helps us to understand and create a positive impact for consumers. As a Disability Confident Leader, we ensure that everyone can apply and be part of our recruitment processes and so we'll make reasonable adjustments if you need them - just let us know when you apply. If you need assistance with applying (i.e., would like to apply by phone or post), email . Find out more about the Disability Confident Interview Scheme here . Please note you must meet the essential criteria listed within the Role Profile, to have your application reviewed and we reserve the right to withdraw this advert at any given time due to the number of applications received . Role Profile Template - Head of Digital life and Scams policy.pdf
We believe in a world where growth thrives across borders and cultures. As an EOR, Atlas employs people to work for companies anywhere in the world. Before we came along, the only businesses offering a similar solution were essentially brokers. They'd outsource your HR and payroll services to third-party providers in different countries. Today, we're the only 100% Direct EOR in the world, partnering with clients to get to market 82% faster, at a reduced cost, and with lower risk through local expertise in over 160 countries. Atlas technology powers the idea that companies can employ whoever they want, wherever they are in the world. Through our cloud-based platform, we deliver the Human Resources infrastructure that underpins international growth, leaving companies free to focus on the strategy that makes it happen. We partner with our clients through their international life cycle from the first dip in the global pool until the moment it's time to set up their own entities and run payroll. Atlas is here from point A to point Z. The future of work is borderless, and so are we. So, it helps that our people are located around the globe - in the US, UK, India, China and beyond - and speak 90+ languages. Diversity and inclusion are at our core. Atlas invests in Environment, Social and Governance initiatives through our impact program. Impact is central to our vision as a business and at the heart of our culture. Through impact we are addressing our environmental impact for society, for the planet and for our long-term success. Employee wellness, diversity and charitable activities are at the core of our social responsibility. Impact ensures Corporate Governance operates ethically and responsibly while preserving our customers and employees' trust. We are looking to expand our team by hiring a Senior Data Scientist, a team player who is ready to make the role their own and bring their own ideas and innovations to the table. Reporting to the Director of Global Architecture, you will be supporting our data platform team. Key Responsibilities Work on, shape and lead an uncharted domain/greenfield data science project. Identify business problems and find the right data/mathematical techniques to address them. Develop machine learning models to classify objects, identify patterns, support decisions, make recommendations, and predict outcomes. Create high-quality data visualizations. Data Science Ambassador - Educate and train others on Data Science related matters. Present mathematical models in a clear and informative way with the ability to relay insights in layman's terms to be used to inform business decisions. Oversee the activities of the more junior data scientists. About You You have an advanced degree in applied mathematics, computer science, or other quantitative discipline or comparable certifications. You have 5+ years of experience as a data scientist with exposure to the HR domain a plus. You have prior experience with SQL and NoSQL and understand the concept of distributed systems/computing and feel comfortable with one or more Cloud providers. You are experienced with modern data science tools and techniques (Databricks/Jupyter notebook, AutoML/MLOps/MLFlow/SageMaker/Azure ML) including experience with some of Spark/MLlib and/or Python ML libraries (NumPy, Scipy, SciKit-Learn, Pandas, TensorFlow/Keras/PyTorch, OpenAI, OpenNLP), and you always know which one to use. You know a variety of classification, regression, clustering, dimension reduction, ensemble etc. techniques. (random forest, linear/logistic regression, CNN, SVM, PCA) and theoretical knowledge about the NLP techniques. You understand why data wrangling is vital. You know how to build ML pipelines, tune hyperparameters train/test/validate/evaluate/deploy models and you know data visualization tools, for example, Plotly, Seaborn, Matplotlib and have experience with productionalization of data science solutions. You have a passion for building something new, exploring uncharted areas, and learning new techniques and methodologies. You are an experienced storyteller and have tens/hundreds of stories about earlier projects. You have previous experience leading others, both inside and outside of the Data Science area. What We Value You have excellent verbal and written communication skills. You are an out of the box thinker. What We Offer The opportunity to work with a purpose - simplifying global expansion while supporting sustainable communities around the world A diverse and inclusive environment, with over 40 nationalities represented, 90+ languages spoken, and a workforce made up of 52% women Flexible PTO and birthdays off Generous Parental Leave Program Growth and development opportunities with access to Coursera - a leading learning and certification provider The opportunity to challenge yourself in a high-performing organization and leave each day knowing you have made an impact. This position description may not describe all duties, responsibilities, and skills associated with this position. It is intended to portray the major aspects of the job. Other duties or skills may be required. Atlas Technology Solutions, Inc. is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: Atlas is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Atlas are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Atlas will not tolerate discrimination or harassment based on any of these characteristics. Atlas encourages applicants of all ages. This role will be subject to a background check under local law after an employment offer has been made. Employment may be subject to results. In addition, references may be requested at the final stage of the process. Will you now or in the future require sponsorship for employment visa status? By submitting your application, Atlas Technology Solutions, Inc. ("Controller") collects your personal data contained in your application. Controller is located in Chicago, IL. United States of America and can be contacted by emailing . Controller processes your personal data for the purpose of carrying out the recruitment process, including but not limited to: assess your suitability for employment for the role for which you are applying, as well as future roles that may become available or facilitate communication with you. This is done based on the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. You are not required to provide any requested information to Controller but failing to do so may result in not being able to continue your candidacy for the job for which you are applying. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller's behalf. From time to time your personal data will be transferred to associated companies of Controller to process for the purposes described in this Privacy Notice. Controller will ensure that appropriate or suitable safeguards are in place to protect your personal data and that transfer of your personal information is in compliance with applicable data protection laws. If your application is successful your data is saved for the implementation of the employment relationship, complying with statutory regulations. Application documents of unsuccessful candidates are deleted after twelve months at the latest. Pursuant to the E.U. General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and other applicable laws and regulations, you may have data subject rights enabling you to request to access, delete, correct, remove or limit the use, or receive a copy of your personal information in Controller's possession or for which Controller is otherwise responsible. Please select
May 15, 2024
Full time
We believe in a world where growth thrives across borders and cultures. As an EOR, Atlas employs people to work for companies anywhere in the world. Before we came along, the only businesses offering a similar solution were essentially brokers. They'd outsource your HR and payroll services to third-party providers in different countries. Today, we're the only 100% Direct EOR in the world, partnering with clients to get to market 82% faster, at a reduced cost, and with lower risk through local expertise in over 160 countries. Atlas technology powers the idea that companies can employ whoever they want, wherever they are in the world. Through our cloud-based platform, we deliver the Human Resources infrastructure that underpins international growth, leaving companies free to focus on the strategy that makes it happen. We partner with our clients through their international life cycle from the first dip in the global pool until the moment it's time to set up their own entities and run payroll. Atlas is here from point A to point Z. The future of work is borderless, and so are we. So, it helps that our people are located around the globe - in the US, UK, India, China and beyond - and speak 90+ languages. Diversity and inclusion are at our core. Atlas invests in Environment, Social and Governance initiatives through our impact program. Impact is central to our vision as a business and at the heart of our culture. Through impact we are addressing our environmental impact for society, for the planet and for our long-term success. Employee wellness, diversity and charitable activities are at the core of our social responsibility. Impact ensures Corporate Governance operates ethically and responsibly while preserving our customers and employees' trust. We are looking to expand our team by hiring a Senior Data Scientist, a team player who is ready to make the role their own and bring their own ideas and innovations to the table. Reporting to the Director of Global Architecture, you will be supporting our data platform team. Key Responsibilities Work on, shape and lead an uncharted domain/greenfield data science project. Identify business problems and find the right data/mathematical techniques to address them. Develop machine learning models to classify objects, identify patterns, support decisions, make recommendations, and predict outcomes. Create high-quality data visualizations. Data Science Ambassador - Educate and train others on Data Science related matters. Present mathematical models in a clear and informative way with the ability to relay insights in layman's terms to be used to inform business decisions. Oversee the activities of the more junior data scientists. About You You have an advanced degree in applied mathematics, computer science, or other quantitative discipline or comparable certifications. You have 5+ years of experience as a data scientist with exposure to the HR domain a plus. You have prior experience with SQL and NoSQL and understand the concept of distributed systems/computing and feel comfortable with one or more Cloud providers. You are experienced with modern data science tools and techniques (Databricks/Jupyter notebook, AutoML/MLOps/MLFlow/SageMaker/Azure ML) including experience with some of Spark/MLlib and/or Python ML libraries (NumPy, Scipy, SciKit-Learn, Pandas, TensorFlow/Keras/PyTorch, OpenAI, OpenNLP), and you always know which one to use. You know a variety of classification, regression, clustering, dimension reduction, ensemble etc. techniques. (random forest, linear/logistic regression, CNN, SVM, PCA) and theoretical knowledge about the NLP techniques. You understand why data wrangling is vital. You know how to build ML pipelines, tune hyperparameters train/test/validate/evaluate/deploy models and you know data visualization tools, for example, Plotly, Seaborn, Matplotlib and have experience with productionalization of data science solutions. You have a passion for building something new, exploring uncharted areas, and learning new techniques and methodologies. You are an experienced storyteller and have tens/hundreds of stories about earlier projects. You have previous experience leading others, both inside and outside of the Data Science area. What We Value You have excellent verbal and written communication skills. You are an out of the box thinker. What We Offer The opportunity to work with a purpose - simplifying global expansion while supporting sustainable communities around the world A diverse and inclusive environment, with over 40 nationalities represented, 90+ languages spoken, and a workforce made up of 52% women Flexible PTO and birthdays off Generous Parental Leave Program Growth and development opportunities with access to Coursera - a leading learning and certification provider The opportunity to challenge yourself in a high-performing organization and leave each day knowing you have made an impact. This position description may not describe all duties, responsibilities, and skills associated with this position. It is intended to portray the major aspects of the job. Other duties or skills may be required. Atlas Technology Solutions, Inc. is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: Atlas is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Atlas are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Atlas will not tolerate discrimination or harassment based on any of these characteristics. Atlas encourages applicants of all ages. This role will be subject to a background check under local law after an employment offer has been made. Employment may be subject to results. In addition, references may be requested at the final stage of the process. Will you now or in the future require sponsorship for employment visa status? By submitting your application, Atlas Technology Solutions, Inc. ("Controller") collects your personal data contained in your application. Controller is located in Chicago, IL. United States of America and can be contacted by emailing . Controller processes your personal data for the purpose of carrying out the recruitment process, including but not limited to: assess your suitability for employment for the role for which you are applying, as well as future roles that may become available or facilitate communication with you. This is done based on the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment. You are not required to provide any requested information to Controller but failing to do so may result in not being able to continue your candidacy for the job for which you are applying. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller's behalf. From time to time your personal data will be transferred to associated companies of Controller to process for the purposes described in this Privacy Notice. Controller will ensure that appropriate or suitable safeguards are in place to protect your personal data and that transfer of your personal information is in compliance with applicable data protection laws. If your application is successful your data is saved for the implementation of the employment relationship, complying with statutory regulations. Application documents of unsuccessful candidates are deleted after twelve months at the latest. Pursuant to the E.U. General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and other applicable laws and regulations, you may have data subject rights enabling you to request to access, delete, correct, remove or limit the use, or receive a copy of your personal information in Controller's possession or for which Controller is otherwise responsible. Please select