Senior Dataiku Platform Solutions Engineer We are seeking a highly experienced Senior Dataiku Platform and Solutions Engineer to join our team in London. This role involves leading the design, development, and optimization of our Dataiku-based data analytics platform. Day Rate: £750-£800pd IR35 Status: Inside Duration: 12 Months Travel: 3 days a week in Central London Responsibilities: Design and develop a secure Dataiku-centric platform Implement pipelines for automated deployments and testing to ensure optimal performance Manage infrastructure provisioning and configuration for Dataiku on AWS, prioritizing data security and compliance Collaborate with Data Scientists and Analysts to configure the platform and mentor junior engineers Champion best practices in data governance, platform utilization, operations, and capacity management Troubleshoot and resolve complex platform issues, proactively identifying risks Provide expert technical support and document processes Participate in workshops with vendors to stay updated on Dataiku features and integrations Requirements: Minimum 5 years of experience with Dataiku, demonstrating a deep understanding of its capabilities Proven experience with AWS platform engineering, including EC2, S3, IAM, and security best practices Comprehensive understanding of data security principles and best practices Expert understanding of CI/CD principles and tools (eg, Jenkins, GitLab CI/CD) and DevOps methodologies Strong background in SQL and RDBMS for efficient data manipulation and storage Highly Preferred Technical Skills: Experience with Kubernetes for container orchestration and data platform scalability Expertise in database tuning for performance optimization Familiarity with Databricks for large-scale data processing If interested, please apply or message me directly at (see below)
May 21, 2024
Contractor
Senior Dataiku Platform Solutions Engineer We are seeking a highly experienced Senior Dataiku Platform and Solutions Engineer to join our team in London. This role involves leading the design, development, and optimization of our Dataiku-based data analytics platform. Day Rate: £750-£800pd IR35 Status: Inside Duration: 12 Months Travel: 3 days a week in Central London Responsibilities: Design and develop a secure Dataiku-centric platform Implement pipelines for automated deployments and testing to ensure optimal performance Manage infrastructure provisioning and configuration for Dataiku on AWS, prioritizing data security and compliance Collaborate with Data Scientists and Analysts to configure the platform and mentor junior engineers Champion best practices in data governance, platform utilization, operations, and capacity management Troubleshoot and resolve complex platform issues, proactively identifying risks Provide expert technical support and document processes Participate in workshops with vendors to stay updated on Dataiku features and integrations Requirements: Minimum 5 years of experience with Dataiku, demonstrating a deep understanding of its capabilities Proven experience with AWS platform engineering, including EC2, S3, IAM, and security best practices Comprehensive understanding of data security principles and best practices Expert understanding of CI/CD principles and tools (eg, Jenkins, GitLab CI/CD) and DevOps methodologies Strong background in SQL and RDBMS for efficient data manipulation and storage Highly Preferred Technical Skills: Experience with Kubernetes for container orchestration and data platform scalability Expertise in database tuning for performance optimization Familiarity with Databricks for large-scale data processing If interested, please apply or message me directly at (see below)
Senior Scala Developer - Apache Spark - Urgent Requirement Contract Length: 6 months IR35 status: Inside Location: London - Hybrid working A Senior Scala Developer with experience in Apache Spark is needed for a British consultancy organisation. You will be an integral member of the team providing technical expertise to the client - this will include transfer of knowledge and mentoring of less experienced members of the team. You will have a solid record in Big Data Engineering, with experience in delivering complex solutions for Enterprise level Clients. As well as maintaining robust and scalable applications in Scala, you will be able to implement ETL pipelines to process, transform, and standardize data from various sources as well as optimise the performance of Spark applications. Work closely with data scientists, software engineers, and machine learning experts to enhance the data platform and contribute to the development of cloud-based solutions (ideally in Google Cloud Platform, but experience with other cloud environments is acceptable). Required Skills: Strong proficiency in Scala and Spark. Experience with data visualization tools. Familiarity with cloud platforms (GCP preferred, but AWS or Azure also acceptable). Knowledge of Kubernetes, Kafka, and other relevant technologies. Previous work on data-driven projects. Why this is a great contract: Opportunity to work for one of the UK's leading consultancy organisations They are consistently awarded one of the best businesses to work for in the UK This will be a hybrid position This is an urgent requirement, apply immediately for consideration!
May 21, 2024
Contractor
Senior Scala Developer - Apache Spark - Urgent Requirement Contract Length: 6 months IR35 status: Inside Location: London - Hybrid working A Senior Scala Developer with experience in Apache Spark is needed for a British consultancy organisation. You will be an integral member of the team providing technical expertise to the client - this will include transfer of knowledge and mentoring of less experienced members of the team. You will have a solid record in Big Data Engineering, with experience in delivering complex solutions for Enterprise level Clients. As well as maintaining robust and scalable applications in Scala, you will be able to implement ETL pipelines to process, transform, and standardize data from various sources as well as optimise the performance of Spark applications. Work closely with data scientists, software engineers, and machine learning experts to enhance the data platform and contribute to the development of cloud-based solutions (ideally in Google Cloud Platform, but experience with other cloud environments is acceptable). Required Skills: Strong proficiency in Scala and Spark. Experience with data visualization tools. Familiarity with cloud platforms (GCP preferred, but AWS or Azure also acceptable). Knowledge of Kubernetes, Kafka, and other relevant technologies. Previous work on data-driven projects. Why this is a great contract: Opportunity to work for one of the UK's leading consultancy organisations They are consistently awarded one of the best businesses to work for in the UK This will be a hybrid position This is an urgent requirement, apply immediately for consideration!
At Houseful, we're here to help everyone make intelligent decisions about their home. Do the best work of your life! Houseful is home to trusted brands Zoopla, Alto, Hometrack, Calcasa, Mojo, and Prime Location. Together, we're creating the connections that power better property decisions by unlocking the combined strength of software, data, and insight. We make moves with head and heart to achieve our big ambitions and to drive progress in the property market. There's never been a better time to join us. Hometrack Hometrack is redefining the mortgage journey for lenders, brokers, and consumers by delivering market-leading valuation and property data services to the financial, property, and technology industries. Our key commercial and go-to-market segment is in financial services, primarily mortgage lenders, including nine of the top 10 mortgage providers. Position Overview We are looking for a Senior Product Manager - Climate Risk who can take our product suite to the next level and launch exciting new products in the fast-paced world of climate change data. This role will have a high degree of autonomy and independence. Key initiatives will include enhancing our climate risk insights for mortgage lenders, expanding our energy efficiency modelling for ESG and property risk use cases, and elevating the technological capabilities of our current offering. Key Responsibilities As Senior Product Manager - Climate Risk at Hometrack, you will be responsible for the following: Define the climate product strategy and roadmap, using data and insight to drive your decision-making, steering priorities, trade-offs and product development decisions. Responsible for 3rd party data provider selection, aligning data provision to customer needs and ensuring long-term success and sustainability of supplier relationships. Responsible for the reliability, quality and scalability of the data pipeline and API services to ensure Hometrack delivers an enterprise-grade service, including a transactional API for mortgage origination and portfolio management. Collaborate with Analysts and Data Scientists to identify new opportunities, develop proof of concepts, test and iterate solutions based on customer needs and create go-to-market strategies. Explore opportunities to increase customer engagement, distribution, accessibility, insight, and reporting experiences. Be the subject matter expert for climate data, conduct market research and lead workshops with multiple stakeholders to discover and gather business needs and input, resolve issues and clear obstacles. You would be ideal for this role if you have: Senior experience as a Product Manager or Consultant in a data-rich, climate-focused environment (energy efficiency, carbon accounting, geological risks or similar). Experience building data products and data-centric APIs: you understand technical terminology for API-first services and automated processes. A highly collaborative approach to product development with cross-functional delivery teams and stakeholders. Agile software development experience: you practice continuous, iterative delivery of value and define solutions based on a thorough, methodical and data-driven approach. An obsession with learning, whether it's driving key product KPIs, learning new skills or the nuances of the market. You always reflect on what can be improved and how to get there. Everyday Flex - greater flexibility over where and when you work 25 days annual leave + extra days for years of service Day off for volunteering & Digital detox day Festive Closure - business closed for a period between Christmas and New Year Cycle to work and electric car schemes Free Calm App membership Enhanced Parental leave Fertility Treatment Financial Support Group Income Protection and private medical insurance Gym on-site in London 7.5% pension contribution by the company Discretionary annual bonus up to 10% of base salary Talent referral bonus up to £5k
May 21, 2024
Full time
At Houseful, we're here to help everyone make intelligent decisions about their home. Do the best work of your life! Houseful is home to trusted brands Zoopla, Alto, Hometrack, Calcasa, Mojo, and Prime Location. Together, we're creating the connections that power better property decisions by unlocking the combined strength of software, data, and insight. We make moves with head and heart to achieve our big ambitions and to drive progress in the property market. There's never been a better time to join us. Hometrack Hometrack is redefining the mortgage journey for lenders, brokers, and consumers by delivering market-leading valuation and property data services to the financial, property, and technology industries. Our key commercial and go-to-market segment is in financial services, primarily mortgage lenders, including nine of the top 10 mortgage providers. Position Overview We are looking for a Senior Product Manager - Climate Risk who can take our product suite to the next level and launch exciting new products in the fast-paced world of climate change data. This role will have a high degree of autonomy and independence. Key initiatives will include enhancing our climate risk insights for mortgage lenders, expanding our energy efficiency modelling for ESG and property risk use cases, and elevating the technological capabilities of our current offering. Key Responsibilities As Senior Product Manager - Climate Risk at Hometrack, you will be responsible for the following: Define the climate product strategy and roadmap, using data and insight to drive your decision-making, steering priorities, trade-offs and product development decisions. Responsible for 3rd party data provider selection, aligning data provision to customer needs and ensuring long-term success and sustainability of supplier relationships. Responsible for the reliability, quality and scalability of the data pipeline and API services to ensure Hometrack delivers an enterprise-grade service, including a transactional API for mortgage origination and portfolio management. Collaborate with Analysts and Data Scientists to identify new opportunities, develop proof of concepts, test and iterate solutions based on customer needs and create go-to-market strategies. Explore opportunities to increase customer engagement, distribution, accessibility, insight, and reporting experiences. Be the subject matter expert for climate data, conduct market research and lead workshops with multiple stakeholders to discover and gather business needs and input, resolve issues and clear obstacles. You would be ideal for this role if you have: Senior experience as a Product Manager or Consultant in a data-rich, climate-focused environment (energy efficiency, carbon accounting, geological risks or similar). Experience building data products and data-centric APIs: you understand technical terminology for API-first services and automated processes. A highly collaborative approach to product development with cross-functional delivery teams and stakeholders. Agile software development experience: you practice continuous, iterative delivery of value and define solutions based on a thorough, methodical and data-driven approach. An obsession with learning, whether it's driving key product KPIs, learning new skills or the nuances of the market. You always reflect on what can be improved and how to get there. Everyday Flex - greater flexibility over where and when you work 25 days annual leave + extra days for years of service Day off for volunteering & Digital detox day Festive Closure - business closed for a period between Christmas and New Year Cycle to work and electric car schemes Free Calm App membership Enhanced Parental leave Fertility Treatment Financial Support Group Income Protection and private medical insurance Gym on-site in London 7.5% pension contribution by the company Discretionary annual bonus up to 10% of base salary Talent referral bonus up to £5k
Machine Learning Engineer page is loaded Machine Learning Engineer Apply locations London, United Kingdom Warsaw, Poland Reading, Berkshire, United Kingdom Cambridge, United Kingdom Brighton, East Sussex, United Kingdom time type Full time posted on Posted 3 Days Ago job requisition id R Machine Learning Engineer Analytics Centre of Excellence (ACOE) London/UK The Analytics Centre of Excellence (ACOE) is positively impacting patient lives through the anticipation and delivery of Decision Intelligence solutions that increase clinical trial success, shorten drug development timelines, and reduce costs in bringing new drugs to market, getting much-needed drugs to patients faster through successful clinical trial delivery. ACOE Product Portfolio: In trial strategy, we are using Machine Learning (ML) to recommend countries and clinical trial sites and accurately predict clinical study timelines. We are optimizing our patient outreach targeting and are predicting participant dropout. In addition, problems in patient recruitment are being solved with ML. Further upstream in R&D we are predicting clinical trial outcomes, drug-protein interactions, repurposing drugs and even leveraging ML to optimize molecules. Job Overview Develop fit for purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery. Essential Functions Facilitates the transformation of machine learning research domain expertise in the areas of human data into viable prototypes Facilitates the development of features of models on individual projects and/or products with guidance and support from others Develops understanding of the creation of new algorithms through working alongside other Machine Learning Engineers and Machine Learning Research Scientists Facilitates the building and training of new production grade algorithms that can learn from complex, high dimensionality data to uncover patterns from which machine learning models and applications can be developed Uses a variety of techniques to improve the performance of individual natural language processing and/or machine learning algorithms Facilitates the testing and validation of models to determine viability for deployment with guidance and support from others Consult for internal and external clients, implement solution development and innovation to meet clients' needs, facilitate client AI project technical delivery What we're looking for Master's Degree Master's Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field Several years' experience working on creating machine learning algorithms Python (Scikit-learn, Tensor Flow, Pandas, NumPy, SciPy) SQL, Linux/mac command-line tools Experience with building, testing, measuring, and deploying machine learning models in production Familiarity with ML algorithms (classification, regression) and processes (how to build models, assess their goodness of fit, etc.) Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.) Previous experience of owning, maintaining, and enhancing software data products Attention to clarity of code, ease of development, and correctness of implementations Good knowledge of software development best practices including testing, continuous integration, and DevOps tools Preferred Requirements: Experience with clinical domain and with regulated data Previous experience using one or more of the following: Java, C++, Python, R, Go, Kubernetes, Used Deep Neural Network libraries such as Tensor Flow or Pytorch Knowledge of cloud systems such as AWS, Azure, GCP and containerization such as Docker Experience working with large, real-world datasets Demonstrated in-depth understanding of product development lifecycle Demonstrated aptitude for and interest in peer mentorship Experience deploying code into production through CI/CD tools Knowledge of biostatistics/life sciences/healthcare technology Knowledge of UX principles Experience working in the Hadoop ecosystem Prior management/mentorship experience Why join? Those who join us become part of a recognised global leader still willing to challenge the status quo to improve patient care. You can drive your career at IQVIA and choose the path that best defines your development and success. With exposure across diverse geographies, capabilities, and vast therapeutic and information and technology areas, you can seek opportunities to change and grow without boundaries. IQVIA is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential. We thank all applicants for their interest; however only those selected for interview will be contacted. IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible - to help our customers create a healthier world. Learn more at Similar Jobs (1) Senior Data Scientist - RStudio locations Brighton, East Sussex, United Kingdom time type Full time posted on Posted 21 Days Ago IQVIA is a world leader in using data, technology, advanced analytics, and expertise to help customers drive healthcare - and human health - forward. Together with the companies we serve, we are enabling a more modern, more effective and more efficient healthcare system, and creating breakthrough solutions that transform business and patient outcomes. To get there, it takes diverse skills and a curiosity to explore new possibilities. No matter your role, everyone at IQVIA, including our colleagues at Q Solutions, contributes to our shared goal of improving human health. Thank you for your interest in growing your career with us.
May 21, 2024
Full time
Machine Learning Engineer page is loaded Machine Learning Engineer Apply locations London, United Kingdom Warsaw, Poland Reading, Berkshire, United Kingdom Cambridge, United Kingdom Brighton, East Sussex, United Kingdom time type Full time posted on Posted 3 Days Ago job requisition id R Machine Learning Engineer Analytics Centre of Excellence (ACOE) London/UK The Analytics Centre of Excellence (ACOE) is positively impacting patient lives through the anticipation and delivery of Decision Intelligence solutions that increase clinical trial success, shorten drug development timelines, and reduce costs in bringing new drugs to market, getting much-needed drugs to patients faster through successful clinical trial delivery. ACOE Product Portfolio: In trial strategy, we are using Machine Learning (ML) to recommend countries and clinical trial sites and accurately predict clinical study timelines. We are optimizing our patient outreach targeting and are predicting participant dropout. In addition, problems in patient recruitment are being solved with ML. Further upstream in R&D we are predicting clinical trial outcomes, drug-protein interactions, repurposing drugs and even leveraging ML to optimize molecules. Job Overview Develop fit for purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery. Essential Functions Facilitates the transformation of machine learning research domain expertise in the areas of human data into viable prototypes Facilitates the development of features of models on individual projects and/or products with guidance and support from others Develops understanding of the creation of new algorithms through working alongside other Machine Learning Engineers and Machine Learning Research Scientists Facilitates the building and training of new production grade algorithms that can learn from complex, high dimensionality data to uncover patterns from which machine learning models and applications can be developed Uses a variety of techniques to improve the performance of individual natural language processing and/or machine learning algorithms Facilitates the testing and validation of models to determine viability for deployment with guidance and support from others Consult for internal and external clients, implement solution development and innovation to meet clients' needs, facilitate client AI project technical delivery What we're looking for Master's Degree Master's Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field Several years' experience working on creating machine learning algorithms Python (Scikit-learn, Tensor Flow, Pandas, NumPy, SciPy) SQL, Linux/mac command-line tools Experience with building, testing, measuring, and deploying machine learning models in production Familiarity with ML algorithms (classification, regression) and processes (how to build models, assess their goodness of fit, etc.) Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.) Previous experience of owning, maintaining, and enhancing software data products Attention to clarity of code, ease of development, and correctness of implementations Good knowledge of software development best practices including testing, continuous integration, and DevOps tools Preferred Requirements: Experience with clinical domain and with regulated data Previous experience using one or more of the following: Java, C++, Python, R, Go, Kubernetes, Used Deep Neural Network libraries such as Tensor Flow or Pytorch Knowledge of cloud systems such as AWS, Azure, GCP and containerization such as Docker Experience working with large, real-world datasets Demonstrated in-depth understanding of product development lifecycle Demonstrated aptitude for and interest in peer mentorship Experience deploying code into production through CI/CD tools Knowledge of biostatistics/life sciences/healthcare technology Knowledge of UX principles Experience working in the Hadoop ecosystem Prior management/mentorship experience Why join? Those who join us become part of a recognised global leader still willing to challenge the status quo to improve patient care. You can drive your career at IQVIA and choose the path that best defines your development and success. With exposure across diverse geographies, capabilities, and vast therapeutic and information and technology areas, you can seek opportunities to change and grow without boundaries. IQVIA is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential. We thank all applicants for their interest; however only those selected for interview will be contacted. IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible - to help our customers create a healthier world. Learn more at Similar Jobs (1) Senior Data Scientist - RStudio locations Brighton, East Sussex, United Kingdom time type Full time posted on Posted 21 Days Ago IQVIA is a world leader in using data, technology, advanced analytics, and expertise to help customers drive healthcare - and human health - forward. Together with the companies we serve, we are enabling a more modern, more effective and more efficient healthcare system, and creating breakthrough solutions that transform business and patient outcomes. To get there, it takes diverse skills and a curiosity to explore new possibilities. No matter your role, everyone at IQVIA, including our colleagues at Q Solutions, contributes to our shared goal of improving human health. Thank you for your interest in growing your career with us.
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? Optional Demographic Questions 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 21, 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? Optional Demographic Questions 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
Senior Director Boutique Technology Consultancy Data Science & AI Unique opportunity within a consultancy focused on creating impact. Helping to shape and lead the Data Science and AI team. I am currently supporting an executive led, boutique consultancy in building out their Data Science and AI team. The company operates as an extension of C-level and Board, helping to drive critical digital and data change and transformation. Your peers will be former Chief Data Officers and Partners with extensive experience driving large scale data transformations. Successful candidates will be able to apply hands on skills in coding and modelling and be lead small teams of machine learning and AI experts. You will leverage data science to design high performing solutions that solve complex business problems. Extensive experience within Data Science, operating in a senior leadership position or able to liaise with key stakeholders. Work in a cross functional agile delivery team alongside big data engineers, data architects and more Delivering advanced data science solutions to enhance capability and generate insight across the different sectors and clients. Good educational background, ideally within a related field. Key words: Machine learning, data science, data scientists, data engineering, big data, chief data office, python, java, R, software development
May 21, 2024
Full time
Senior Director Boutique Technology Consultancy Data Science & AI Unique opportunity within a consultancy focused on creating impact. Helping to shape and lead the Data Science and AI team. I am currently supporting an executive led, boutique consultancy in building out their Data Science and AI team. The company operates as an extension of C-level and Board, helping to drive critical digital and data change and transformation. Your peers will be former Chief Data Officers and Partners with extensive experience driving large scale data transformations. Successful candidates will be able to apply hands on skills in coding and modelling and be lead small teams of machine learning and AI experts. You will leverage data science to design high performing solutions that solve complex business problems. Extensive experience within Data Science, operating in a senior leadership position or able to liaise with key stakeholders. Work in a cross functional agile delivery team alongside big data engineers, data architects and more Delivering advanced data science solutions to enhance capability and generate insight across the different sectors and clients. Good educational background, ideally within a related field. Key words: Machine learning, data science, data scientists, data engineering, big data, chief data office, python, java, R, software development
Amex GBT is a place where colleagues find inspiration in travel as a force for good and - through their work - can make an impact on our industry. We're here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued. Ready to explore a career path? Start your journey. Data drives our business. Come and join our Analytic team and take part in defining and distilling that data for key corporate decision makers and our clients around the world. Position Summary The Amex GBT Analytics team is actively seeking a qualified candidate to fulfil the role of Senior Data Analyst/ Scientist. This critical position demands a self-motivated, results-oriented individual, with strong analytical skills to join our global team. Using advanced analytical techniques, you will support the business teams through critical projects and influence decisions based on data and analyses that help deliver results. You will have the opportunity to work on a broad spectrum of areas that include in-product messaging, marketing operations, campaign performance optimization, and personalized marketing framework. This position will be highly rewarding and lots of fun. Training and development opportunities will abound ensuring high-performing individuals can chart a long-term career trajectory within the company. This role represents an exciting opportunity to join Amex GBT, as we define the future of business travel as we lead the industry into a new era. What you will do Passionate storytelling and bringing data to life by partnering with key stakeholders. Design and build models to prioritize and classify critical touchpoints along the customer journey to increase internal guidance and prioritization. Lead strategic and quantitative analysis to support and enable the continued growth critical to Amex GBT. Influence partners and senior leaders by communicating across various levels of the organization in a clear and compelling way. Maintain, consolidate, and enrich current reports/dashboards to visualize data analysis and insights. Support ongoing needs for analytical/ operational reporting, and day-to-day needs that impact our Sales and Marketing teams. Support data migrations, updating links, and ratifying and consolidating existing reports. Identify, prioritize, and drive operational improvements. What We're Looking For Proficiency in verbal and written communication, and competence in data presentation. Relevant bachelor's or master's degree or equivalent experience in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understating of data analytics. Proven experience with marketing technologies, such as Google Analytics, Adobe Analytics, Salesforce Marketing Cloud, Marketo or similar technologies 8+ years of work experience in a relevant business environment. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret results) and Python/R. Strong experience using Tableau to pull data from various sources, develop and publish automated reports and dashboards. Deep understanding of data and reporting requirements, with the ability to collaborate on analytics models, reporting tools, and return on investment analysis. Capacity to thrive in a fast-paced environment and embrace ambiguity while maintaining a sharp focus on delivering results. Location United Kingdom - London Amex GBT is a place where colleagues find inspiration in travel as a force for good and - through their work - can make an impact on our industry. We're here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued. Ready to explore a career path? Start your journey. Data drives our business. Come and join our Analytic team and take part in defining and distilling that data for key corporate decision makers and our clients around the world. Position Summary The Amex GBT Analytics team is actively seeking a qualified candidate to fulfil the role of Senior Data Analyst/ Scientist. This critical position demands a self-motivated, results-oriented individual, with strong analytical skills to join our global team. Using advanced analytical techniques, you will support the business teams through critical projects and influence decisions based on data and analyses that help deliver results. You will have the opportunity to work on a broad spectrum of areas that include in-product messaging, marketing operations, campaign performance optimization, and personalized marketing framework. This position will be highly rewarding and lots of fun. Training and development opportunities will abound ensuring high-performing individuals can chart a long-term career trajectory within the company. This role represents an exciting opportunity to join Amex GBT, as we define the future of business travel as we lead the industry into a new era. What you will do Passionate storytelling and bringing data to life by partnering with key stakeholders. Design and build models to prioritize and classify critical touchpoints along the customer journey to increase internal guidance and prioritization. Lead strategic and quantitative analysis to support and enable the continued growth critical to Amex GBT. Influence partners and senior leaders by communicating across various levels of the organization in a clear and compelling way. Maintain, consolidate, and enrich current reports/dashboards to visualize data analysis and insights. Support ongoing needs for analytical/ operational reporting, and day-to-day needs that impact our Sales and Marketing teams. Support data migrations, updating links, and ratifying and consolidating existing reports. Identify, prioritize, and drive operational improvements. What We're Looking For Proficiency in verbal and written communication, and competence in data presentation. Relevant bachelor's or master's degree or equivalent experience in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understating of data analytics. Proven experience with marketing technologies, such as Google Analytics, Adobe Analytics, Salesforce Marketing Cloud, Marketo or similar technologies 8+ years of work experience in a relevant business environment. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret results) and Python/R. Strong experience using Tableau to pull data from various sources, develop and publish automated reports and dashboards. Deep understanding of data and reporting requirements, with the ability to collaborate on analytics models, reporting tools, and return on investment analysis. Capacity to thrive in a fast-paced environment and embrace ambiguity while maintaining a sharp focus on delivering results. Location United Kingdom - London The Experience Work and life: Find your happy medium at Amex GBT. Flexible benefits are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and more. Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals. Develop the skills you want when the time is right for you, with global tuition assistance, access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first. We strive to champion Diversity, Equity, and Inclusion in every aspect of our business at GBT. You can connect with colleagues through our global Inclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action. Wellbeing resources to support mental and emotional health for you and your immediate family. And much more! This role is for Egencia LLC ("Egencia" or the "Company"), a member of the American Express Global Business Travel family of companies. All qualified applicants will receive equal consideration for employment without regard to age, gender identity (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, race, color, religion, creed, national origin, disability, veteran status, citizenship or marital status. It is our policy to maintain an equal-opportunity environment free from intimidation, harassment or bias for our candidates, colleagues, clients and suppliers. We are committed to providing reasonable accommodation to individuals with disabilities. Please, let your recruiter know if you need an accommodation at any point during the hiring process. For more details, please consult GBT Recruitment Privacy Statement . What if I don't meet every requirement? If you're passionate about our mission and believe you'd be a phenomenal addition to our team, don't worry about "checking every box;" please apply anyway. You may be exactly the person we're looking for!
May 20, 2024
Full time
Amex GBT is a place where colleagues find inspiration in travel as a force for good and - through their work - can make an impact on our industry. We're here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued. Ready to explore a career path? Start your journey. Data drives our business. Come and join our Analytic team and take part in defining and distilling that data for key corporate decision makers and our clients around the world. Position Summary The Amex GBT Analytics team is actively seeking a qualified candidate to fulfil the role of Senior Data Analyst/ Scientist. This critical position demands a self-motivated, results-oriented individual, with strong analytical skills to join our global team. Using advanced analytical techniques, you will support the business teams through critical projects and influence decisions based on data and analyses that help deliver results. You will have the opportunity to work on a broad spectrum of areas that include in-product messaging, marketing operations, campaign performance optimization, and personalized marketing framework. This position will be highly rewarding and lots of fun. Training and development opportunities will abound ensuring high-performing individuals can chart a long-term career trajectory within the company. This role represents an exciting opportunity to join Amex GBT, as we define the future of business travel as we lead the industry into a new era. What you will do Passionate storytelling and bringing data to life by partnering with key stakeholders. Design and build models to prioritize and classify critical touchpoints along the customer journey to increase internal guidance and prioritization. Lead strategic and quantitative analysis to support and enable the continued growth critical to Amex GBT. Influence partners and senior leaders by communicating across various levels of the organization in a clear and compelling way. Maintain, consolidate, and enrich current reports/dashboards to visualize data analysis and insights. Support ongoing needs for analytical/ operational reporting, and day-to-day needs that impact our Sales and Marketing teams. Support data migrations, updating links, and ratifying and consolidating existing reports. Identify, prioritize, and drive operational improvements. What We're Looking For Proficiency in verbal and written communication, and competence in data presentation. Relevant bachelor's or master's degree or equivalent experience in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understating of data analytics. Proven experience with marketing technologies, such as Google Analytics, Adobe Analytics, Salesforce Marketing Cloud, Marketo or similar technologies 8+ years of work experience in a relevant business environment. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret results) and Python/R. Strong experience using Tableau to pull data from various sources, develop and publish automated reports and dashboards. Deep understanding of data and reporting requirements, with the ability to collaborate on analytics models, reporting tools, and return on investment analysis. Capacity to thrive in a fast-paced environment and embrace ambiguity while maintaining a sharp focus on delivering results. Location United Kingdom - London Amex GBT is a place where colleagues find inspiration in travel as a force for good and - through their work - can make an impact on our industry. We're here to help our colleagues achieve success and offer an inclusive and collaborative culture where your voice is valued. Ready to explore a career path? Start your journey. Data drives our business. Come and join our Analytic team and take part in defining and distilling that data for key corporate decision makers and our clients around the world. Position Summary The Amex GBT Analytics team is actively seeking a qualified candidate to fulfil the role of Senior Data Analyst/ Scientist. This critical position demands a self-motivated, results-oriented individual, with strong analytical skills to join our global team. Using advanced analytical techniques, you will support the business teams through critical projects and influence decisions based on data and analyses that help deliver results. You will have the opportunity to work on a broad spectrum of areas that include in-product messaging, marketing operations, campaign performance optimization, and personalized marketing framework. This position will be highly rewarding and lots of fun. Training and development opportunities will abound ensuring high-performing individuals can chart a long-term career trajectory within the company. This role represents an exciting opportunity to join Amex GBT, as we define the future of business travel as we lead the industry into a new era. What you will do Passionate storytelling and bringing data to life by partnering with key stakeholders. Design and build models to prioritize and classify critical touchpoints along the customer journey to increase internal guidance and prioritization. Lead strategic and quantitative analysis to support and enable the continued growth critical to Amex GBT. Influence partners and senior leaders by communicating across various levels of the organization in a clear and compelling way. Maintain, consolidate, and enrich current reports/dashboards to visualize data analysis and insights. Support ongoing needs for analytical/ operational reporting, and day-to-day needs that impact our Sales and Marketing teams. Support data migrations, updating links, and ratifying and consolidating existing reports. Identify, prioritize, and drive operational improvements. What We're Looking For Proficiency in verbal and written communication, and competence in data presentation. Relevant bachelor's or master's degree or equivalent experience in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understating of data analytics. Proven experience with marketing technologies, such as Google Analytics, Adobe Analytics, Salesforce Marketing Cloud, Marketo or similar technologies 8+ years of work experience in a relevant business environment. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret results) and Python/R. Strong experience using Tableau to pull data from various sources, develop and publish automated reports and dashboards. Deep understanding of data and reporting requirements, with the ability to collaborate on analytics models, reporting tools, and return on investment analysis. Capacity to thrive in a fast-paced environment and embrace ambiguity while maintaining a sharp focus on delivering results. Location United Kingdom - London The Experience Work and life: Find your happy medium at Amex GBT. Flexible benefits are tailored to each country and start the day you do. These include health and welfare insurance plans, retirement programs, parental leave, adoption assistance, and more. Travel perks: get a choice of deals each week from major travel providers on everything from flights to hotels to cruises and car rentals. Develop the skills you want when the time is right for you, with global tuition assistance, access to over 20,000 courses on our learning platform, leadership courses, and new job openings available to internal candidates first. We strive to champion Diversity, Equity, and Inclusion in every aspect of our business at GBT. You can connect with colleagues through our global Inclusion Groups, centered around common identities or initiatives, to discuss challenges, obstacles, achievements, and drive company awareness and action. Wellbeing resources to support mental and emotional health for you and your immediate family. And much more! This role is for Egencia LLC ("Egencia" or the "Company"), a member of the American Express Global Business Travel family of companies. All qualified applicants will receive equal consideration for employment without regard to age, gender identity (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, race, color, religion, creed, national origin, disability, veteran status, citizenship or marital status. It is our policy to maintain an equal-opportunity environment free from intimidation, harassment or bias for our candidates, colleagues, clients and suppliers. We are committed to providing reasonable accommodation to individuals with disabilities. Please, let your recruiter know if you need an accommodation at any point during the hiring process. For more details, please consult GBT Recruitment Privacy Statement . What if I don't meet every requirement? If you're passionate about our mission and believe you'd be a phenomenal addition to our team, don't worry about "checking every box;" please apply anyway. You may be exactly the person we're looking for!
Agria Pet Insurance has a fantastic opportunity for a new Head of Pricing & Underwriting to join the team. This is a Hybrid role and will consist of working from home and the office based in Aylesbury . The successful candidate will join the team on a full time, permanent basis in return for a competitive salary of £100,000 per annum . Agria Pet Insurance is one of the UK's leading specialist pet insurance providers. We only provide insurance for animals, so truly understand and care about our customers and their beloved pets - especially as most of our team are pet parents, and we're all animal-lovers. Our passion for pets means that we are trusted by the Kennel Club and many other significant affinity partners to provide lifetime pet insurance in their names. Working closely with animal welfare organisations, vets and breeders, gives us deep insight on what's best for pets. And we give back too - including supporting hundreds of animal rescues, protecting for over 80,000 rescued animals, and through donations of over £1m to animal charities. We are a strong, growing business with a supportive ethos and family feel. We became one of the Sunday Times Best Places to Work in 2023, were awarded Most Trusted Pet Insurer in 2021 and are proud to be the only carbon positive pet insurer in the UK. About the role: As the Head of Pricing & Underwriting , you will be a strategic leader overseeing the comprehensive pricing, underwriting, and product development functions. Your role involves leading a dynamic team of pricing analysts, underwriters, and pricing data scientists, ensuring the effective execution of key responsibilities to deliver the business' objectives. Responsibilities as our Head of Pricing & Underwriting will include: Helping develop and articulate the overarching pricing and underwriting strategy aligned with business goals Managing, leading, mentoring, and empowering a high-performing team, fostering collaboration and continuous development Overseeing the development and maintenance of advanced statistical models and MI for underwriting performance and pricing policies Leading the integration and development of the pricing software ensuring accuracy and compliance at all times Making informed and authoritative recommendations derived from complex analyses to guide pricing strategies Directing market trend analyses across operational and commercial activities, identifying opportunities and threats Leading product development initiatives, ensuring alignment with market trends and competitive positioning Understanding and delivering strong product governance in accordance with internal and regulatory procedures Establishing effective communication channels with internal stakeholders, including Finance, Claims, and other relevant teams Presenting comprehensive statistics and reports to Management and Senior Leadership, providing strategic insights Managing relationships with internal and external counterparts, particularly Swedish Product Development and Actuarial colleagues, for cohesive collaboration on pricing and underwriting matters Promoting a culture of continuous improvement, innovation, and efficiency within the pricing and underwriting department Ensuring compliance with regulatory requirements and risk management protocols within the pricing and underwriting functions Qualifications, Skills & Attributes of our Head of Pricing & Underwriting: Inquisitive with good problem solving/analytical skills and attention to detail Exceptional written and verbal communication skills with confidence to influence at all levels Ability to handle and effectively control multiple tasks to a high standard, within specific timescales and react to changing priorities or conflicting deadlines Ability to build effective relationships with key stakeholders within the business Experience in pricing and claims analysis Excellent knowledge of Microsoft Office applications Desirable Qualifications & Experience: Advanced and in-depth knowledge of pet products Detailed knowledge of the business and operational processes in the insurance sector Database/Programming/Analytical packages, for example SAS. Degree level Mathematics / Statistics or equivalent Experience working within an Insurance environment A passion for great customer experience and outcomes Enthusiastic, proactive and flexible with the desire to succeed within a team environment Don't miss out on this fantastic opportunity to join the Agria team - please click 'apply' now to become our Head of Pricing & Underwriting - we'd like to hear from you! All successful applicants are subject to a background and criminal record check. Any personal data that you provide to us will be used for the sole purpose of processing your job application. This information will be kept for up to 6 months from the date that it is received based on our legal obligation under employment law.
May 20, 2024
Full time
Agria Pet Insurance has a fantastic opportunity for a new Head of Pricing & Underwriting to join the team. This is a Hybrid role and will consist of working from home and the office based in Aylesbury . The successful candidate will join the team on a full time, permanent basis in return for a competitive salary of £100,000 per annum . Agria Pet Insurance is one of the UK's leading specialist pet insurance providers. We only provide insurance for animals, so truly understand and care about our customers and their beloved pets - especially as most of our team are pet parents, and we're all animal-lovers. Our passion for pets means that we are trusted by the Kennel Club and many other significant affinity partners to provide lifetime pet insurance in their names. Working closely with animal welfare organisations, vets and breeders, gives us deep insight on what's best for pets. And we give back too - including supporting hundreds of animal rescues, protecting for over 80,000 rescued animals, and through donations of over £1m to animal charities. We are a strong, growing business with a supportive ethos and family feel. We became one of the Sunday Times Best Places to Work in 2023, were awarded Most Trusted Pet Insurer in 2021 and are proud to be the only carbon positive pet insurer in the UK. About the role: As the Head of Pricing & Underwriting , you will be a strategic leader overseeing the comprehensive pricing, underwriting, and product development functions. Your role involves leading a dynamic team of pricing analysts, underwriters, and pricing data scientists, ensuring the effective execution of key responsibilities to deliver the business' objectives. Responsibilities as our Head of Pricing & Underwriting will include: Helping develop and articulate the overarching pricing and underwriting strategy aligned with business goals Managing, leading, mentoring, and empowering a high-performing team, fostering collaboration and continuous development Overseeing the development and maintenance of advanced statistical models and MI for underwriting performance and pricing policies Leading the integration and development of the pricing software ensuring accuracy and compliance at all times Making informed and authoritative recommendations derived from complex analyses to guide pricing strategies Directing market trend analyses across operational and commercial activities, identifying opportunities and threats Leading product development initiatives, ensuring alignment with market trends and competitive positioning Understanding and delivering strong product governance in accordance with internal and regulatory procedures Establishing effective communication channels with internal stakeholders, including Finance, Claims, and other relevant teams Presenting comprehensive statistics and reports to Management and Senior Leadership, providing strategic insights Managing relationships with internal and external counterparts, particularly Swedish Product Development and Actuarial colleagues, for cohesive collaboration on pricing and underwriting matters Promoting a culture of continuous improvement, innovation, and efficiency within the pricing and underwriting department Ensuring compliance with regulatory requirements and risk management protocols within the pricing and underwriting functions Qualifications, Skills & Attributes of our Head of Pricing & Underwriting: Inquisitive with good problem solving/analytical skills and attention to detail Exceptional written and verbal communication skills with confidence to influence at all levels Ability to handle and effectively control multiple tasks to a high standard, within specific timescales and react to changing priorities or conflicting deadlines Ability to build effective relationships with key stakeholders within the business Experience in pricing and claims analysis Excellent knowledge of Microsoft Office applications Desirable Qualifications & Experience: Advanced and in-depth knowledge of pet products Detailed knowledge of the business and operational processes in the insurance sector Database/Programming/Analytical packages, for example SAS. Degree level Mathematics / Statistics or equivalent Experience working within an Insurance environment A passion for great customer experience and outcomes Enthusiastic, proactive and flexible with the desire to succeed within a team environment Don't miss out on this fantastic opportunity to join the Agria team - please click 'apply' now to become our Head of Pricing & Underwriting - we'd like to hear from you! All successful applicants are subject to a background and criminal record check. Any personal data that you provide to us will be used for the sole purpose of processing your job application. This information will be kept for up to 6 months from the date that it is received based on our legal obligation under employment law.
Viator, a Tripadvisor company, is the biggest marketplace for experiences in the travel industry. We have more than 300,000 bookable products in almost every country on the planet, and are helping millions of travelers every month to discover things to do. Data isn't just a number at Viator, it's a product that serves as a key input to nearly every decision we make. We are seeking a Senior Data Scientist to influence the business across multiple areas. Sitting within the Experimentation Platform Team you'll be working on developing and maintaining the platform running all experimentation at Viator. You'll also be working closely with the Mar-Tech team where you'll play a pivotal role in analyzing and optimizing our marketing strategies. You'll collaborate closely with software engineers, analysts and product managers within these teams as well as across the wider business to ensure we're building high quality models and tooling that meet business requirements. We are seeking a Data Scientist who will: Design, develop, and implement statistical models and algorithms to analyze the effectiveness of various marketing channels and tactics. Create and refine marketing mix models to assess the impact of different variables on business performance. Work proactively to identify opportunities for improvement in experimentation methodologies, ensuring best practices in line with the latest advances in the industry. Employ advanced statistical techniques to ensure the validity and reliability of experimental findings. Identify and apply causal inference techniques to solve business problems. Key Requirements A postgraduate degree in statistics, machine learning, or similar OR demonstrable experience with the data science lifecycle - i.e. from problem definition to model deployment and beyond (monitoring and improvement). In-depth knowledge of statistical hypothesis testing and ML modeling techniques. Experience in using Python for numerical/statistical programming (including Numpy, Pandas, and Scikit-learn). Significant experience in using SQL. Ability to communicate effectively with audiences of various backgrounds, levels, and functions. Experience in conducting and analyzing AB tests in an E-commerce setting is a plus. Understanding of marketing analytics, particularly in the realm of marketing mix modeling, is a plus. What's in it for me: Competitive salary, bonus and stock for all staff regardless of level. Health, dental, life, critical illness and long term disability insurance. Lifestyle benefit - this is very cool. Every year you are given an allowance for your lifestyle, this could be for a holiday, gym membership, family support and much more. 25 days annual leave plus the days between Christmas and New Year as our offices are closed. Summer flexi-time, May to September all employees can request for compressed hours in order to make the most of daylight savings and enjoy life. We are an experiences company after all! Does the idea of transforming Viator's data and analytics capabilities using the latest tech appeal to you? If so, then we'd love to hear from you! If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to and let us know the nature of your request . Please include the job requisition number in your message. Tripadvisor collects your personal data for the purposes of managing Tripadvisor's recruitment related activities as well as for organizational planning purposes globally. Consequently, Tripadvisor may use your personal data in relation to the evaluation and selection of applicants including for example setting up and conducting interviews and tests, evaluating and assessing the results thereto and as is otherwise needed in the recruitment processes including the final recruitment. If you join Tripadvisor, the personal data collected will become part of your employment record. In all cases, Tripadvisor will retain your information for a period after your application. Tripadvisor retains this information for various reasons, including in case Tripadvisor faces a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs and also to help us better understand, analyze and improve our recruitment processes. Tripadvisor does not disclose your personal data to unauthorized third parties. However, as a global corporation consisting of multiple affiliated companies in various countries, Tripadvisor has international sites and Tripadvisor uses resources located throughout the world. Tripadvisor may from time to time also use third parties to act on Tripadvisor's behalf. You agree to the fact that to the extent necessary your personal data may be transferred and/or disclosed to any company within Tripadvisor group of companies as well as to third parties acting on Tripadvisor's behalf, including also transfers to servers and databases outside the country where you provided Tripadvisor with your personal data. Such transfers may include for example transfers and/or disclosures outside the European Economic Area and to the United States of America, in order to contact your referees or to detect, prevent or otherwise address fraud, security or technical issues, or to protect against harm to the rights, property or safety of Tripadvisor, our users, applicants, candidates, employees or the public or as otherwise required by law. We have put in place adequate safeguards with respect to the protection of your privacy, rights and freedoms, and the exercise of your rights.
May 20, 2024
Full time
Viator, a Tripadvisor company, is the biggest marketplace for experiences in the travel industry. We have more than 300,000 bookable products in almost every country on the planet, and are helping millions of travelers every month to discover things to do. Data isn't just a number at Viator, it's a product that serves as a key input to nearly every decision we make. We are seeking a Senior Data Scientist to influence the business across multiple areas. Sitting within the Experimentation Platform Team you'll be working on developing and maintaining the platform running all experimentation at Viator. You'll also be working closely with the Mar-Tech team where you'll play a pivotal role in analyzing and optimizing our marketing strategies. You'll collaborate closely with software engineers, analysts and product managers within these teams as well as across the wider business to ensure we're building high quality models and tooling that meet business requirements. We are seeking a Data Scientist who will: Design, develop, and implement statistical models and algorithms to analyze the effectiveness of various marketing channels and tactics. Create and refine marketing mix models to assess the impact of different variables on business performance. Work proactively to identify opportunities for improvement in experimentation methodologies, ensuring best practices in line with the latest advances in the industry. Employ advanced statistical techniques to ensure the validity and reliability of experimental findings. Identify and apply causal inference techniques to solve business problems. Key Requirements A postgraduate degree in statistics, machine learning, or similar OR demonstrable experience with the data science lifecycle - i.e. from problem definition to model deployment and beyond (monitoring and improvement). In-depth knowledge of statistical hypothesis testing and ML modeling techniques. Experience in using Python for numerical/statistical programming (including Numpy, Pandas, and Scikit-learn). Significant experience in using SQL. Ability to communicate effectively with audiences of various backgrounds, levels, and functions. Experience in conducting and analyzing AB tests in an E-commerce setting is a plus. Understanding of marketing analytics, particularly in the realm of marketing mix modeling, is a plus. What's in it for me: Competitive salary, bonus and stock for all staff regardless of level. Health, dental, life, critical illness and long term disability insurance. Lifestyle benefit - this is very cool. Every year you are given an allowance for your lifestyle, this could be for a holiday, gym membership, family support and much more. 25 days annual leave plus the days between Christmas and New Year as our offices are closed. Summer flexi-time, May to September all employees can request for compressed hours in order to make the most of daylight savings and enjoy life. We are an experiences company after all! Does the idea of transforming Viator's data and analytics capabilities using the latest tech appeal to you? If so, then we'd love to hear from you! If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to and let us know the nature of your request . Please include the job requisition number in your message. Tripadvisor collects your personal data for the purposes of managing Tripadvisor's recruitment related activities as well as for organizational planning purposes globally. Consequently, Tripadvisor may use your personal data in relation to the evaluation and selection of applicants including for example setting up and conducting interviews and tests, evaluating and assessing the results thereto and as is otherwise needed in the recruitment processes including the final recruitment. If you join Tripadvisor, the personal data collected will become part of your employment record. In all cases, Tripadvisor will retain your information for a period after your application. Tripadvisor retains this information for various reasons, including in case Tripadvisor faces a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs and also to help us better understand, analyze and improve our recruitment processes. Tripadvisor does not disclose your personal data to unauthorized third parties. However, as a global corporation consisting of multiple affiliated companies in various countries, Tripadvisor has international sites and Tripadvisor uses resources located throughout the world. Tripadvisor may from time to time also use third parties to act on Tripadvisor's behalf. You agree to the fact that to the extent necessary your personal data may be transferred and/or disclosed to any company within Tripadvisor group of companies as well as to third parties acting on Tripadvisor's behalf, including also transfers to servers and databases outside the country where you provided Tripadvisor with your personal data. Such transfers may include for example transfers and/or disclosures outside the European Economic Area and to the United States of America, in order to contact your referees or to detect, prevent or otherwise address fraud, security or technical issues, or to protect against harm to the rights, property or safety of Tripadvisor, our users, applicants, candidates, employees or the public or as otherwise required by law. We have put in place adequate safeguards with respect to the protection of your privacy, rights and freedoms, and the exercise of your rights.
Sylvera provides carbon data for genuine climate impact. Our mission is to incentivize investment in real climate action. Purchasing credits through the carbon markets is one of the most established and scalable ways to channel finance from the private sector to effective climate solutions and work toward societal net zero. Unfortunately, the voluntary carbon markets have been plagued with mistrust and a lack of effectiveness since they've emerged - until Sylvera. To help organizations ensure they're making the most effective investments, Sylvera builds software that independently and accurately automates the evaluation of carbon projects that capture, remove, or avoid emissions. With Sylvera's data and tools, businesses and governments can confidently invest in, benchmark, deliver, and report real climate impact. Our team is made up of leading minds in climate change from scientists to policy, finance and carbon market experts. We work in partnership with scientific organisations, universities, governments and think tanks to develop and test rigorous and holistic ratings methodologies, leveraging the latest technology. Founded in 2020, Sylvera has 150+ employees across the world with offices in London, New York, Belgrade and Singapore. We've raised over $96million from leading VCs like Balderton Capital, Index Ventures and Insight Partners to date. As a Senior Talent Partner, you'll be at the forefront of leading a key area of hiring for the company within our GTM functions - including interacting with candidates, key stakeholders, identifying exceptional talent and helping the team develop a world-class end-to-end hiring process to excel Sylvera's ambitious growth plans. Specific responsibilities will include: You'll closely work with your stakeholders to drive process improvements, workforce and talent planning for a department/s, closely with the HoT - mainly specialising in GTM hiring You'll lead a full spectrum of projects, key stakeholder management scenarios and hiring outcomes with little to no direction You'll operate with an exceptionally organised, data-oriented and critical-thinking approach to all aspects of talent, ensuring a strong candidate experience You'll demonstrable examples of driving innovative talent initiatives across employer branding, interview design, talent documentation and DEI in a fast-paced environment You'll help to drive creative recruiting strategies You'll organise and host industry events as a representative of Sylvera to source new talent You'll build a powerful network to leverage when it comes to sourcing exceptional talent You'll be responsible for maintaining a consistent, efficient and scalable hiring process that will allow Sylvera to meet current and future talent needs We're looking for someone who: 4+ years in-house recruiting experience, ideally having recruited within a fast-growing venture-backed business and previous experience working in agency recruitment Deep experience in hiring world-class Commercial talent - alongside other skillsets within a venture-backed tech company Skilled in full cycle recruitment - from sourcing through qualification, interview and close Adept working in a structured way amidst a fast-paced, often challenging environment Demonstrable passion for delivering an amazing experience for candidates of all backgrounds Polished communication skills - oral and written Clear and consistent evidence of success - including evidence of demonstrated intellectual curiosity throughout career and education Cares deeply about the climate and ecosystems of the earth Is a self-starter who thrives in constantly evolving environments, ideally with early-stage start-up experience We'd like someone highly ambitious, motivated and eager to propel their career forward. We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description Benefits - Equity in a rapidly growing startup - Private Health Insurance and Life Assurance - Unlimited annual leave - and encouragement to actually use it! - Enhanced parental leave - Up to 20 days paid sick leave - No corners cut in having the best tech to do your job - Access to Mental Health support via Spill - Monthly team socials UK (with access to an office in London if you wanted to come in) Own it: We make new mistakes. We build on the momentum of our wins and reflect on and learn from our failures. Stay curious: We keep our focus on the long-term, even if that means short-term challenges. Do what's right - even when it's hard: We take a growth mindset to our work, our customers, our market and the opportunities ahead of us. Collaborate and challenge with empathy: Our teams deliver through active collaboration. We invest in each others' success and make the company stronger in the long-run. Empower Customers: Make extraordinary efforts to exceed our customer expectations. If we're serving our customers to the fullest, we can help direct more investment into real climate impact. What if you're a partial fit? We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description. Equal employment opportunity Sylvera is an equal opportunity employer: we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
May 20, 2024
Full time
Sylvera provides carbon data for genuine climate impact. Our mission is to incentivize investment in real climate action. Purchasing credits through the carbon markets is one of the most established and scalable ways to channel finance from the private sector to effective climate solutions and work toward societal net zero. Unfortunately, the voluntary carbon markets have been plagued with mistrust and a lack of effectiveness since they've emerged - until Sylvera. To help organizations ensure they're making the most effective investments, Sylvera builds software that independently and accurately automates the evaluation of carbon projects that capture, remove, or avoid emissions. With Sylvera's data and tools, businesses and governments can confidently invest in, benchmark, deliver, and report real climate impact. Our team is made up of leading minds in climate change from scientists to policy, finance and carbon market experts. We work in partnership with scientific organisations, universities, governments and think tanks to develop and test rigorous and holistic ratings methodologies, leveraging the latest technology. Founded in 2020, Sylvera has 150+ employees across the world with offices in London, New York, Belgrade and Singapore. We've raised over $96million from leading VCs like Balderton Capital, Index Ventures and Insight Partners to date. As a Senior Talent Partner, you'll be at the forefront of leading a key area of hiring for the company within our GTM functions - including interacting with candidates, key stakeholders, identifying exceptional talent and helping the team develop a world-class end-to-end hiring process to excel Sylvera's ambitious growth plans. Specific responsibilities will include: You'll closely work with your stakeholders to drive process improvements, workforce and talent planning for a department/s, closely with the HoT - mainly specialising in GTM hiring You'll lead a full spectrum of projects, key stakeholder management scenarios and hiring outcomes with little to no direction You'll operate with an exceptionally organised, data-oriented and critical-thinking approach to all aspects of talent, ensuring a strong candidate experience You'll demonstrable examples of driving innovative talent initiatives across employer branding, interview design, talent documentation and DEI in a fast-paced environment You'll help to drive creative recruiting strategies You'll organise and host industry events as a representative of Sylvera to source new talent You'll build a powerful network to leverage when it comes to sourcing exceptional talent You'll be responsible for maintaining a consistent, efficient and scalable hiring process that will allow Sylvera to meet current and future talent needs We're looking for someone who: 4+ years in-house recruiting experience, ideally having recruited within a fast-growing venture-backed business and previous experience working in agency recruitment Deep experience in hiring world-class Commercial talent - alongside other skillsets within a venture-backed tech company Skilled in full cycle recruitment - from sourcing through qualification, interview and close Adept working in a structured way amidst a fast-paced, often challenging environment Demonstrable passion for delivering an amazing experience for candidates of all backgrounds Polished communication skills - oral and written Clear and consistent evidence of success - including evidence of demonstrated intellectual curiosity throughout career and education Cares deeply about the climate and ecosystems of the earth Is a self-starter who thrives in constantly evolving environments, ideally with early-stage start-up experience We'd like someone highly ambitious, motivated and eager to propel their career forward. We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description Benefits - Equity in a rapidly growing startup - Private Health Insurance and Life Assurance - Unlimited annual leave - and encouragement to actually use it! - Enhanced parental leave - Up to 20 days paid sick leave - No corners cut in having the best tech to do your job - Access to Mental Health support via Spill - Monthly team socials UK (with access to an office in London if you wanted to come in) Own it: We make new mistakes. We build on the momentum of our wins and reflect on and learn from our failures. Stay curious: We keep our focus on the long-term, even if that means short-term challenges. Do what's right - even when it's hard: We take a growth mindset to our work, our customers, our market and the opportunities ahead of us. Collaborate and challenge with empathy: Our teams deliver through active collaboration. We invest in each others' success and make the company stronger in the long-run. Empower Customers: Make extraordinary efforts to exceed our customer expectations. If we're serving our customers to the fullest, we can help direct more investment into real climate impact. What if you're a partial fit? We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description. Equal employment opportunity Sylvera is an equal opportunity employer: we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
The Alan Turing Institute Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. BACKGROUND The Defence & Security programme at the Turing is looking to expand a newly formed team of data scientists working on real-world problems in the radio frequency domain aligned with defending and securing the UK. As a team, we bring together cutting-edge research and motivating mission challenges, using our data science, software engineering and stakeholder management skills to create next generation capabilities for our partners. Your role will be to work both independently and collaboratively with the Private Investigators (PIs), and other researchers in the Defence Artificial Intelligence Research (DARe) centre in domains as diverse as: future sensing, space systems, human-machine teaming, synthetic environments, and edge AI. CANDIDATE PROFILE The ideal candidate is inquisitive, enjoys solving complex, challenging problems, and thinks creatively to find non-obvious solutions. We are a cross-disciplinary team and encourage applications from both generalists and specialists including those who self-identify as software engineers, computer scientists, machine learning practitioners, physicists, mathematicians, statisticians or more widely as data scientists or data engineers. DUTIES AND AREAS OF RESPONSIBILITY Engaging with scientists from the EME's Defence and Security partners Appling ML, Data Science, and radio frequency to problems faced by EME partners, both as part of unclassified EME projects and on partner systems The application of modern AI techniques to the RF domain Developing novel multi-modal AI approaches to the fusion of data from multiple sensors Developing new techniques for the detection, recognition, identification, localisation, and exploitation (DRILE) of radio frequency signals. Person Specification PhD or equivalent professional experience in a field with significant use of both computer programming and advanced statistical or numerical methods Practical experience or strong theoretical knowledge and academic experience with ML and adjacent topics or demonstrated experience developing algorithms for transmitting, processing and analysing radio frequency signals Fluency in one or more modern programming languages such as Python Experience leading a research project with a focus on AI or Radar or Communications and Networks. Please see our portal for a full breakdown of the Job Description. Terms and Conditions This full-time post is offered on a fixed term basis for 3 years. The annual salary is £51,476 to £58,000 plus excellent benefits, including flexible working and family friendly policies, The Alan Turing Institute is based at the British Library, in the heart of London's Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Application procedure Please see our jobs portal for full details on how to apply and the interview process. Equality Diversity and Inclusion We are committed to makingsure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-termcondition. Please contact us to find out how we can assist you.
May 20, 2024
Full time
The Alan Turing Institute Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. BACKGROUND The Defence & Security programme at the Turing is looking to expand a newly formed team of data scientists working on real-world problems in the radio frequency domain aligned with defending and securing the UK. As a team, we bring together cutting-edge research and motivating mission challenges, using our data science, software engineering and stakeholder management skills to create next generation capabilities for our partners. Your role will be to work both independently and collaboratively with the Private Investigators (PIs), and other researchers in the Defence Artificial Intelligence Research (DARe) centre in domains as diverse as: future sensing, space systems, human-machine teaming, synthetic environments, and edge AI. CANDIDATE PROFILE The ideal candidate is inquisitive, enjoys solving complex, challenging problems, and thinks creatively to find non-obvious solutions. We are a cross-disciplinary team and encourage applications from both generalists and specialists including those who self-identify as software engineers, computer scientists, machine learning practitioners, physicists, mathematicians, statisticians or more widely as data scientists or data engineers. DUTIES AND AREAS OF RESPONSIBILITY Engaging with scientists from the EME's Defence and Security partners Appling ML, Data Science, and radio frequency to problems faced by EME partners, both as part of unclassified EME projects and on partner systems The application of modern AI techniques to the RF domain Developing novel multi-modal AI approaches to the fusion of data from multiple sensors Developing new techniques for the detection, recognition, identification, localisation, and exploitation (DRILE) of radio frequency signals. Person Specification PhD or equivalent professional experience in a field with significant use of both computer programming and advanced statistical or numerical methods Practical experience or strong theoretical knowledge and academic experience with ML and adjacent topics or demonstrated experience developing algorithms for transmitting, processing and analysing radio frequency signals Fluency in one or more modern programming languages such as Python Experience leading a research project with a focus on AI or Radar or Communications and Networks. Please see our portal for a full breakdown of the Job Description. Terms and Conditions This full-time post is offered on a fixed term basis for 3 years. The annual salary is £51,476 to £58,000 plus excellent benefits, including flexible working and family friendly policies, The Alan Turing Institute is based at the British Library, in the heart of London's Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Application procedure Please see our jobs portal for full details on how to apply and the interview process. Equality Diversity and Inclusion We are committed to makingsure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-termcondition. Please contact us to find out how we can assist you.
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 19, 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
About Faculty Faculty transforms organisational performance through safe, impactful and human-led AI. We are Europe's leading applied AI company, and saw its potential a decade ago - long before the current hype cycle. We founded in 2014 with our Fellowship programme, training academics to become commercial data scientists. Today, we provide over 300 global customers with industry-leading software, and bespoke AI consultancy for retail, healthcare, energy, and governmental organisations, as well as our award winning Fellowship. Our expertise and safety credentials are such that OpenAI asked us to be their first technical partner, helping customers deploy cutting-edge generative AI safely. Our high-impact work has saved lives through forecasting NHS demand during covid, produced green energy by routing boats towards the wind, slashed marketing spend by predicting customer spending habits, and kept children safe online. AI is an epoch-defining technology. We want people to join us who can help our customers reap its enormous benefits safely. What You'll Be Doing You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Retail and Consumer space - examples of which can be found here . You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery. The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing Faculty's view on what it means to operationalise ML software. We're a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems. Working with senior engineers to scope projects and design systems Providing technical expertise to our customers Technical Delivery Who We're Looking For At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation. We like people who combine expertise and ambition with optimism who are interested in changing the world for the better and have the drive and intelligence to make it happen. If you're the right candidate for us, you probably: Think scientifically, even if you're not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things. Love finding new ways to solve old problems - when it comes to your work and professional development, you don't believe in 'good enough'. You always seek new ways to solve old challenges. Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can't be executed in the real world. To succeed in this role, you'll need the following - these are illustrative requirements and we don't expect all applicants to have experience in everything (70% is a rough guide): Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Experience in Software Engineering including programming in Python. Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform Demonstrable experience with containers and specifically Docker and Kubernetes Comfortable in a high-growth startup environment. Outstanding verbal and written communication. Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution Knowledge of (or interest in) retail-focused solutions around understanding consumer behaviours
May 19, 2024
Full time
About Faculty Faculty transforms organisational performance through safe, impactful and human-led AI. We are Europe's leading applied AI company, and saw its potential a decade ago - long before the current hype cycle. We founded in 2014 with our Fellowship programme, training academics to become commercial data scientists. Today, we provide over 300 global customers with industry-leading software, and bespoke AI consultancy for retail, healthcare, energy, and governmental organisations, as well as our award winning Fellowship. Our expertise and safety credentials are such that OpenAI asked us to be their first technical partner, helping customers deploy cutting-edge generative AI safely. Our high-impact work has saved lives through forecasting NHS demand during covid, produced green energy by routing boats towards the wind, slashed marketing spend by predicting customer spending habits, and kept children safe online. AI is an epoch-defining technology. We want people to join us who can help our customers reap its enormous benefits safely. What You'll Be Doing You will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Retail and Consumer space - examples of which can be found here . You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialities to cover all aspects of AI product delivery. The Machine Learning Engineering team is responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you'll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing Faculty's view on what it means to operationalise ML software. We're a rapidly growing organisation, so roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems. Working with senior engineers to scope projects and design systems Providing technical expertise to our customers Technical Delivery Who We're Looking For At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation. We like people who combine expertise and ambition with optimism who are interested in changing the world for the better and have the drive and intelligence to make it happen. If you're the right candidate for us, you probably: Think scientifically, even if you're not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things. Love finding new ways to solve old problems - when it comes to your work and professional development, you don't believe in 'good enough'. You always seek new ways to solve old challenges. Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can't be executed in the real world. To succeed in this role, you'll need the following - these are illustrative requirements and we don't expect all applicants to have experience in everything (70% is a rough guide): Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques Experience in Software Engineering including programming in Python. Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform Demonstrable experience with containers and specifically Docker and Kubernetes Comfortable in a high-growth startup environment. Outstanding verbal and written communication. Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to execution Knowledge of (or interest in) retail-focused solutions around understanding consumer behaviours
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.
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.
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