1 to 25 of 1,781 Data Science Jobs in London

About Us : IWSR is the global authority on beverage alcohol data and intelligence. For over 50 years, IWSR has been trusted by the leaders of global beverage alcohol businesses as an integral part of their strategic planning and decision-making processes. We uniquely combine our proprietary longitudinal market data, consumer insights and AI-enhanced data science, with valuable on-the-ground human intelligence in 160 markets worldwide, to decipher what is really happening in the global beverage alcohol market. With access to our data, clients from across the drinks industry, including multinational spirits, beer, and wine businesses; packaging and ingredient manufacturers; distributors; and financial institutions, plan their strategies and future investment with a reliable … consistent and complete understanding of the global landscape. Role Overview: IWSR is expanding its Forecasting, Analytics and Modelling capabilities and seeks a Data Scientist as part of its growing team of data scientists and econometricians. This team is responsible for the production of forecasts and analyticsin collaboration with IWSR's research team. The candidate will also contribute to More ❯

The Chief Data Officer Group (CDO), consists of a large community of data scientists, government analysts (GSG, GORS, GES, GSR), intelligence analysts, mathematical modellers, epidemiologists, information specialists, and data engineers. This is a unique opportunity to help provide crucial information and insight to support the management of high-profile health incidents alongside ongoing surveillance activities. UKHSA has … a strong data science community with learning opportunities, community groups and hackathon events. We predominantly code in Python and R and utilise AWS and Azure based cloud environments. The teams use Agile ways of working including software such as Confluence and Jira to manage delivery. Our Enterprise Data and Analytics Platform (EDAP) is enriched with curated, consistent … and high-quality data from existing platforms as well as providing access to a range of analytical tooling. Main duties of the job We currently have openings in the following teams: Health Analytics and Automation - Leading on the delivery of key products to support incident response and the routine surveillance of health conditions and infectious diseases. Work across directorates More ❯

Job summary The Chief Data Officer Group (CDO), consists of a large community of data scientists, government analysts (GSG, GORS, GES, GSR), intelligence analysts, mathematical modellers, epidemiologists, information specialists, and data engineers. This is a unique opportunity to help provide crucial information and insight to support the management of high-profile health incidents alongside ongoing surveillance activities. … UKHSA has a strong data science community with learning opportunities, community groups and hackathon events. We predominantly code in Python and R and utilise AWS and Azure based cloud environments. The teams use Agile ways of working including software such as Confluence and Jira to manage delivery. Our Enterprise Data and Analytics Platform (EDAP) is enriched with … curated, consistent, and high-quality data from existing platforms as well as providing access to a range of analytical tooling. Main duties of the job We currently have openings in the following teams: Health Analytics and Automation - Leading on the delivery of key products to support incident response and the routine surveillance of health conditions and infectious diseases. Work More ❯

company that solves real-world problems for large blue-chip companies and governments worldwide. We're pioneers of meaningful AI : our solutions go far beyond chatbots. We are using data and AI to solve the world's biggest issues in telecommunications, sustainable water management, energy, healthcare, climate change, smart cities, and other areas that have a real impact on … We're underpinned by over 300 engineers and scientists working across Africa, Europe, the UK and the US. ABOUT THE ROLE Sand Technologies focuses on cutting-edge cloud-based data projects, leveraging tools such as Databricks, DBT, Docker, Python, SQL, and PySpark to name a few. We work across a variety of data architectures such as Data Mesh, lakehouse, data vault and data warehouses. Our data engineers create pipelines that support our data scientists and power our front-end applications. This means we do data-intensive work for both OLTP and OLAP use cases. Our environments are primarily cloud-native spanning AWS, Azure and GCP, but we also work on systems More ❯

Join Our Team as an Analytics Engineer! Are you passionate about turning complex data into actionable insights? Do you thrive on solving problems and enabling data-driven decision-making in the dynamic world of payments? If so, we want to hear from you! As anAnalytics Engineerspecializing in the payments space, you'll be at the forefront of analysing … payment transaction data, uncovering trends, and optimizing card issuance operations. Your work will directly shape strategic initiatives and improve business outcomes. Key Responsibilities Analyze large datasets related to payment processing and customer transactions to uncover trends and actionable insights. Develop dashboards and reports to track KPIs and support decision-making. Work with stakeholders to understand data needs and … provide insights through presentations and reports. Deliver data-driven recommendations to support business objectives. Build and optimize data pipelines using dbt, ensuring clean and accessible data. Monitor data quality and implement validation processes in collaboration with data engineers. Create scalable data models in Snowflake using dbt and identify opportunities for efficiency gains. Optimize workflows and More ❯

Sr. Data Scientist, FinOps - Global Data Analytics Amazon Finance Operations Global Data Analytics (GDA) science team seeks a Sr. Data Scientist with the technical expertise and business intuition to invent the future of Accounts Payable at Amazon. As a key member of the science team, the Data Scientist will own high-visibility analyses … methodology, and algorithms in the Procure-to-Pay lifecycle to drive free cash flow improvements for Amazon Finance Operations. This is a unique opportunity in a growing data science and economics team with a charter to optimize operations and planning with complex trade-offs between customer experience, cash flow, and operational efficiencies in our payment processes. Key job … responsibilities The Sr. Data Scientist's responsibilities include, but are not limited to the following points: - Manage relationships with business and operational stakeholders and product managers to innovate on behalf of customers, develop novel applications data science methodologies, and partner with engineers and scientists to design, develop, and scale machine learning models. - Define the vision for data More ❯

approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and … warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting technical direction, advising … clients or solving tough engineering challenges. You'd also be expected to spend some time on-site with clients in the London area on an ad-hoc basis. Our data engineers combine a strong software engineering approach with solid data fundamentals and experience with modern tools. We're technology agnostic, and we're open minded when it comes More ❯

Managing Partners, senior staff, and Oaktree Capital. Find out more about us by visiting our website at: http://www.hartreepartners.com/ROLE OVERVIEW: Hartree Partners is growing its data-driven analytics team and is hiring a Statistical Data Scientist to sharpen our view of weather-driven risk and support wider supply-and-demand modelling for power & gas … trading. You will play a pivotal role in shaping our data strategy and driving the development of our modelling approaches. You will collaborate with cross-functional teams to design, implement, and optimize data pipelines and predictive models that inform trading decisions and enhance operational efficiency. RESPONSIBILITIES: Primary Focus: Probabilistic Weather Modelling: Research and prototype probabilistic methods (Bayesian inference … state-space filtering, change-detection tests, etc.) that flag when fresh weather guidance materially diverges from prior outlooks. Continuous Development and Improvement: Calibrate confidence metrics with historical data and measure their value to trading & risk learning models. Continuously improve these models based on real-time data and feedback from trading activities. Model Communication: Explain uncertainty clearly, turning numbers More ❯

Managing Partners, senior staff, and Oaktree Capital. Find out more about us by visiting our website at: http://www.hartreepartners.com/ROLE OVERVIEW: Hartree Partners is growing its data-driven analytics team and is hiring a Statistical Data Scientist to sharpen our view of weather-driven risk and support wider supply-and-demand modelling for power & gas … trading. You will play a pivotal role in shaping our data strategy and driving the development of our modelling approaches. You will collaborate with cross-functional teams to design, implement, and optimize data pipelines and predictive models that inform trading decisions and enhance operational efficiency. RESPONSIBILITIES: Primary Focus: Probabilistic Weather Modelling: Research and prototype probabilistic methods (Bayesian inference … state-space filtering, change-detection tests, etc.) that flag when fresh weather guidance materially diverges from prior outlooks. Continuous Development and Improvement: Calibrate confidence metrics with historical data and measure their value to trading & risk learning models. Continuously improve these models based on real-time data and feedback from trading activities. Model Communication: Explain uncertainty clearly, turning numbers More ❯

Senior Data Engineer Salary: around £75k - plus a very attractive on top Location: London or Leeds - relaxed about hybrid working, if preferred About Us Sports forecasting company specializing in developing player level, play-by-play simulators that generate highly accurate, near-instant outcome projections for sporting events. Since its establishment, the company has focused on serving the emerging sports … has grown into a globally recognized leader in sports modelling and analytics. Purpose of role: The purpose of this role is to design, build, and maintain scalable and efficient data transformation workflows that empower the business with actionable insights and impactful visualisations. This role bridges the gap between data engineering and business intelligence by owning the transformation layer … and enabling clear, trusted, and timely analytics across the organisation. The successful candidate will have a strong grasp of modern data modelling practices, analytics tooling, and interactive dashboard development in Power BI and Plotly/Dash. Key responsibilities: Designing and maintaining robust data transformation pipelines (ELT) using SQL, Apache Airflow, or similar tools. Building and optimizing data More ❯

Senior Data Engineer Salary: around £75k - plus a very attractive on top Location: London or Leeds - relaxed about hybrid working, if preferred About Us Sports forecasting company specializing in developing player level, play-by-play simulators that generate highly accurate, near-instant outcome projections for sporting events. Since its establishment, the company has focused on serving the emerging sports … has grown into a globally recognized leader in sports modelling and analytics. Purpose of role: The purpose of this role is to design, build, and maintain scalable and efficient data transformation workflows that empower the business with actionable insights and impactful visualisations. This role bridges the gap between data engineering and business intelligence by owning the transformation layer … and enabling clear, trusted, and timely analytics across the organisation. The successful candidate will have a strong grasp of modern data modelling practices, analytics tooling, and interactive dashboard development in Power BI and Plotly/Dash. Key responsibilities: Designing and maintaining robust data transformation pipelines (ELT) using SQL, Apache Airflow, or similar tools. Building and optimizing data More ❯

analytical, able to work extremely effectively in a matrix organization, and have the ability to break complex problems down into steps that drive programs. Key job responsibilities - Perform deep data analysis, document findings and insights, and communicate to business stakeholders. - Empower technical and non-technical internal customers to self-serve data pull and data analysis needs. - Be … the expert on the data used and generated by the team's products. Act as Subject Matter Expert when it comes to data questions. - Derive insights from data; Synthesize data into succinct narrative and bridges to enable business and leadership to make investment and strategy decisions - Develop and automate market-segment reports to enable business team … diverse suit of functions dedicated to deeply understand and improving Customer Experience, globally. We are a team of builders that develop products, services, ideas and various ways of leveraging data to influence products and service offerings - for almost every business at Amazon - for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers). Our approach is More ❯

high-ambiguity environment. Build, train, and deploy state-of-the-art models (eg, deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. Collaborate closely with product, design, and DevOps to integrate AI features into our platform. Continuously evaluate new research, open-source tools, and … and grow an AI/ML team as we scale beyond our seed round. Key Responsibilities 1. Architecture & Hands-On Development Define and implement end-to-end AI pipelines: data collection/cleaning, feature engineering, model training, validation, and inference. Rapidly prototype novel models (eg, neural networks, probabilistic models) using PyTorch, TensorFlow, JAX, or equivalent. Productionize models in cloud … availability inference. 2. Strategic Leadership Develop a multi-quarter AI roadmap aligned with product milestones and fundraising milestones. Identify and evaluate opportunities for AI-driven competitive advantages (eg, proprietary data, unique model architectures, transfer/few-shot learning). Collaborate with business stakeholders to translate big problems into technically feasible AI solutions. 3. Data & Infrastructure Oversee the creation More ❯

Job Title: HR Data Science Intern About Us: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. We are facing the world’s greatest balancing act- how to simultaneously reduce emissions and meet the world’s growing energy … to know more, please visit our website at https://www.slb.com/Location: Victoria, London, UK Job Summary: SLB HR Learning & Competency is seeking a motivated and talented Data Science Intern to join our dynamic team. As an intern, you will have the opportunity to work alongside experienced HR professionals and understand HR data and workflows. … You will leverage this understanding to analyze data, automate workflows, embed AI, and enable data-driven decision-making, contributing to the development of cutting-edge solutions in the HR domain. The role sits within the HQ HR team and reports to the Division Learning & Competency Manager. It offers the successful candidate an opportunity to contribute to the strategic More ❯

Job Title: HR Data Science Intern About Us: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. We are facing the world’s greatest balancing act- how to simultaneously reduce emissions and meet the world’s growing energy … to know more, please visit our website at https://www.slb.com/Location: Victoria, London, UK Job Summary: SLB HR Learning & Competency is seeking a motivated and talented Data Science Intern to join our dynamic team. As an intern, you will have the opportunity to work alongside experienced HR professionals and understand HR data and workflows. … You will leverage this understanding to analyze data, automate workflows, embed AI, and enable data-driven decision-making, contributing to the development of cutting-edge solutions in the HR domain. The role sits within the HQ HR team and reports to the Division Learning & Competency Manager. It offers the successful candidate an opportunity to contribute to the strategic More ❯

Role : Junior Data Scientist Location : London, UK (Hybrid) Salary : £35k-£45k (DOE) Are you passionate about data and finance? Join a revolutionary financial services company in the heart of London, where you'll help over 200,000 businesses across the UK and Europe navigate challenges and boost profitability. My client is looking for a Junior Data Scientist … eager to apply their analytical and modeling skills to provide insight and drive impactful business decisions. Your Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data … solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate with cross-functional teams: Work closely with finance, product, and technology teams to align data science initiatives with business goals. Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements : Bachelor’s degree in More ❯

Role : Junior Data Scientist Location : London, UK (Hybrid) Salary : £35k-£45k (DOE) Are you passionate about data and finance? Join a revolutionary financial services company in the heart of London, where you'll help over 200,000 businesses across the UK and Europe navigate challenges and boost profitability. My client is looking for a Junior Data Scientist … eager to apply their analytical and modeling skills to provide insight and drive impactful business decisions. Your Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data … solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate with cross-functional teams: Work closely with finance, product, and technology teams to align data science initiatives with business goals. Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements : Bachelor’s degree in More ❯

Overview We're seeking a Senior Data Scientist to lead the development of advanced analytics and AI/ML solutions that unlock real value across our business. This is a contract role for 6 months . In this contract role, you'll work with proprietary and B2B research datasets to design, deliver, and scale data-driven products. Collaborating … Product, Research, and Technology, you'll help turn strategic ideas into working MVPs-ensuring high standards of methodology, quality, and business relevance throughout. You'll also help shape the data science environment by working alongside our tech teams to support a robust and flexible infrastructure, including sandbox environments for onboarding and evaluating new data sources. This is … a great opportunity for a self-driven, impact-oriented data scientist who thrives in a fast-paced, cross-functional setting-and is eager to deliver meaningful results in a short time frame. Main Duties and Responsibilities Spearhead and execute complex data science projects using a combination of open-source and cloud tools, driving innovation and delivering actionable More ❯

Job ID: Amazon Development Centre (India) Private Limited - S55 The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI/ML products and research models to optimize operation processes. You will work with Product Managers, Data Engineers, Data Scientists, Research … Scientists, Applied Scientists and Business Intelligence Engineers using rigorous quantitative approaches to ensure high quality data/science products for our customers around the world. We are looking for a Sr.Data Scientist to join our growing Science Team. As Data Scientist, you are able to use a range of science methodologies to solve challenging business … the project and proposing solutions which align with org's priorities and production constraints but still create impact. You will achieve this by leveraging strong leadership and communication skills, data science skills and by acquiring domain knowledge pertaining to the delivery operations systems. You will provide ML thought leadership to technical and business leaders, and possess ability to More ❯

POSITION OVERVIEW As a data scientist, you'll play a pivotal role in developing and enhancing our innovative supply chain solutions. You'll collaborate closely with a talented team of passionate engineers and industry experts, applying data engineering and data science techniques to optimize supply chain processes. Your expertise will directly contribute to providing our clients … implement machine learning models to improve the accuracy of supply chain ETA s. Analyze large, complex datasets to extract meaningful insights and identify trends. Design, build, and maintain scalable data pipelines and data lakes to ensure efficient data flow and storage for analytics purposes. Collaborate with cross-functional teams to integrate analytics solutions into our products. Design … and build data visualization tools to communicate findings to stakeholders. Continuously research and apply the latest techniques in AI and machine learning to supply chain problems. Contribute to the development of our analytics product suite, ensuring scalability and efficiency. Communicate complex data science concepts to non-technical stakeholders. Key Responsibilities 1. Advanced Predictive Models: Utilize machine learning More ❯

Curve is a next-gen insights, analytics and technology consultancy that leverages digital consumer data and advanced technology to help businesses unlock consumer opportunities. Digital consumer data is powerful; it's big, it's real, and it's always updating. We use a combination of in-house technology and bespoke solutions, powered by AI, to transform data … machine learning and AI are key to how we deliver impact, centred on: Natural Language Processing, GPT & other LLMs : unearthing trends, themes and other patterns from large text-based data sets, and deploying state-of-the-art AI to automate and empower consumer facing businesses and their insights & analytics functions Marketing Data Science & Personalisation : using first party … consumer data to understand each client's consumer base, building personalisation and other machine learning models to better engage with and excite consumers Data Engineering & Data Architecture : data engineering across a variety of tools to integrate these leading technologies into optimised and efficient data models and ecosystems, feeding into best-in-class analytics dashboards, marketing More ❯

About Jaja Our Mission: Empowering our customers to buy, borrow, and build-driven by tech, fuelled by data, and built for the future. Our Company Values : C are Deeply, Adapt & Thrive, Challenge everything, Go for it! Own it, Make it Simple Jaja is an innovative UK based consumer finance business, leading initially with a digital credit card launched in … impact in a growing business on a mission to change the face of the consumer finance industry forever . About The Role Jaja Finance is looking for a Senior Data Scientist to join our team. Your role will span across the whole lifecycle of model development. That means you are someone who enjoys in equal measures the data … You'll develop and deploy machine learning models that power real-world decisions - from underwriting to fraud detection to optimise customer conversion. This is an end-to-end role: data wrangling, model development, evaluation, and performance monitoring. As a Data Scientist, you'll play a key role in the end-to-end lifecycle of our advanced machine learning More ❯

Job Description: The Food & Nutrition Data Architect will be a key driving force in transforming the Food & Nutrition (F&N) business segment. Working closely with our partners, you will have overall accountability for data solution design, including Analytics, Visualisation, Dashboards, and Ops. You will be responsible to bring in thought leadership in your domain of expertise and apply … them to ways of working. As a trusted advisor, you will collaborate with segment cross-functional teams to design and implement cutting-edge data solutions that enhance customer experiences, drive revenue growth, and maintain a competitive edge in the digital marketplace. Moving to One Enterprise Data Platform for Food is a strategic Mars Food & Nutrition ambition. We aim … to harness the power of data and insights, to solve some of the critical business-wide problems we face. And most importantly, we intend to simplify the global end user experience for data and analytics, unlocking quality growth and operational excellence. What are we looking for? Hands-on experience in designing greenfield, scalable data platforms in cloud More ❯

us reach and exceed them. Amazon Web Services (AWS) is one of the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Amazon Web Services, Inc. provides services for broad range of applications including compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT … security, and application development, deployment, and management. Global AWS Support BizOPs team is looking for a passionate Data Scientist to model contact forecasting, discovering insights and identifying opportunities through the use of statistics, machine learning, and deep learning to drive business and operational improvements. A successful candidate must be passionate about building solutions that will help drive a more … efficient operations network and optimize cost. In this role, you will partner with data engineering, Tooling team, operations, Training, Customer Service, Capacity planning and finance teams, driving optimization and prediction solutions across the network. Key job responsibilities We are looking for an experienced and motivated Data Scientist with proven abilities to build and manage modeling projects, identify data More ❯

company that solves real-world problems for large blue-chip companies and governments worldwide. We're pioneers of meaningful AI : our solutions go far beyond chatbots. We are using data and AI to solve the world's biggest issues in telecommunications, sustainable water management, energy, healthcare, climate change, smart cities, and other areas that have a real impact on … We're underpinned by over 300 engineers and scientists working across Africa, Europe, the UK and the US. ABOUT THE ROLE Sand Technologies focuses on cutting-edge cloud-based data projects, leveraging tools such as Databricks, DBT, Docker, Python, SQL, and PySpark to name a few. We work across a variety of data architectures such as Data Mesh, lakehouse, data vault and data warehouses. Our data engineers create pipelines that support our data scientists and power our front-end applications. This means we do data-intensive work for both OLTP and OLAP use cases. Our environments are primarily cloud-native spanning AWS, Azure and GCP, but we also work on systems More ❯