651 to 675 of 1,299 Data Science Jobs in London

Senior Pricing Data Scientist Up to 80,000 London (Hybrid, 1 days onsite per week) Company: They provide flexible and reliable home insurance tailored to the needs of modern households. Whether covering unique properties or complex personal circumstances they are committed to making home insurance more inclusive, accessible, and straightforward. Responsibilities: Lead the conversion rate and market modelling function … invest and grow even further Working heavily with price comparison websites and making sure they are the most competitive on the market right now Requirements: Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proficient in Python (core skill), with strong experience in SQL Strong technical expertise in AI/ML and More ❯

Senior Pricing Data Scientist Up to 80,000 London (Hybrid, 1 days onsite per week) Company: They provide flexible and reliable home insurance tailored to the needs of modern households. Whether covering unique properties or complex personal circumstances they are committed to making home insurance more inclusive, accessible, and straightforward. Responsibilities: Lead the conversion rate and market modelling function … invest and grow even further Working heavily with price comparison websites and making sure they are the most competitive on the market right now Requirements: Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proficient in Python (core skill), with strong experience in SQL Strong technical expertise in AI/ML and More ❯

and continuous improvement, while fostering a culture where every voice is heard and valued. Optimizely is seeking an experienced and dynamic Director of Insight & Analytics to join our Analytics & Data function. Reporting directly to the VP of Analytics & Data, this role will play a critical part in enhancing decision-making across the organization. This individual will lead a … team of cross-functional analysts and data scientists to deliver domain analysis, generate best-in-class insights and recommendations, design data-driven solutions, and work collaboratively across teams to implement processes and drive meaningful change throughout the business. Job Responsibilities Leverage revenue, customer success, and marketing performance data-along with AI-to uncover patterns, key drivers, and … of-quarter business reviews. Build and refine predictive and diagnostic models to support forecasting, targeting, and optimization strategies. Partner with Sales, Marketing, Customer Success, and Product teams to drive data-informed actions and measure impact. Ensure data integrity, relevance, and timeliness by working closely with Data Engineering and Analytics teams to evolve measurement frameworks and KPIs Storytelling More ❯

as part of our Analytics Engineering team and reporting to one of our Analytics Engineering Managers, your role will be to provide clean, tested, well-documented and well-modelled data sets, that will enable and empower data scientists and business users alike, via tools like Snowflake and/or Looker. You'll work with product engineering teams to … ensure modelling of source data meets downstream requirements. You will maintain and develop SQL data transformation scripts, and advise and review data scientists on data modelling to achieve denormalised and aggregated output datasets. You'll work with data scientists and other analytics engineers to surface clean, intuitive datasets in our BI tool, Looker. You will … be responsible for optimisation and further adoption of Looker as a data product in the business, catering to 1500 current active users who need to discover and interact with data. Skillset Required 3+ years Analytics Engineering/Data Engineering/BI Engineering experience Excellent SQL skills Understanding of data warehousing, data modelling concepts and structuring new More ❯

Dataiku Developer Location: London (Hybrid - 2-3 days WFO per week) Contract Duration: 6 months Role Overview We are seeking an experienced Dataiku Developer with strong expertise in Python, data platforms, and cloud technologies. The role requires deep technical knowledge and hands-on experience in building and maintaining data solutions, with additional exposure to commodity trading environments being … highly desirable. Key Responsibilities Design, plan, implement, maintain, and document data-driven solutions. Develop and optimize workflows using Dataiku Data Science Studio . Leverage strong Python programming skills for data processing and integration. Work with relational databases such as Microsoft SQL Server and PostgreSQL . Utilize AWS data analytics services and data platforms like … on expertise with Dataiku (must-have). Strong Python programming experience (must-have). Solid understanding of relational databases (SQL Server, PostgreSQL). Familiarity with AWS services and modern data platforms (Databricks/Azure Datahub). Data visualization & reporting experience with Power BI and Microsoft 365 tools. Knowledge of commodity trading workflows and data is a plus. More ❯

Senior Data Scientist UK – Hybrid Up to £80,000 The Company A leading UK telecoms company is expanding its Product and Marketing Data Science teams and is looking for a Senior Data Scientist to help drive data-driven decision-making. This is a great opportunity to work on high-impact projects that directly influence customer … engagement, marketing effectiveness, and business growth. The Role As a Senior Data Scientist, you will: Develop and deploy predictive models to enhance customer targeting and engagement. Work on churn prediction to help improve customer retention strategies. Apply customer segmentation techniques to optimise marketing campaigns. Build marketing attribution models to measure and improve campaign performance. Collaborate with stakeholders across the … business to translate insights into actionable strategies. Your Skills & Experience We’re looking for a Data Scientist with: Strong experience in predictive modeling, customer analytics, or marketing data science. Proficiency in Python (Pandas, NumPy, Sci-Kit Learn) or similar tools. A proven track record of delivering impactful, data-driven solutions. Strong communication skills and the ability to More ❯

Senior Data Scientist UK – Hybrid Up to £80,000 The Company A leading UK telecoms company is expanding its Product and Marketing Data Science teams and is looking for a Senior Data Scientist to help drive data-driven decision-making. This is a great opportunity to work on high-impact projects that directly influence customer … engagement, marketing effectiveness, and business growth. The Role As a Senior Data Scientist, you will: Develop and deploy predictive models to enhance customer targeting and engagement. Work on churn prediction to help improve customer retention strategies. Apply customer segmentation techniques to optimise marketing campaigns. Build marketing attribution models to measure and improve campaign performance. Collaborate with stakeholders across the … business to translate insights into actionable strategies. Your Skills & Experience We’re looking for a Data Scientist with: Strong experience in predictive modeling, customer analytics, or marketing data science. Proficiency in Python (Pandas, NumPy, Sci-Kit Learn) or similar tools. A proven track record of delivering impactful, data-driven solutions. Strong communication skills and the ability to More ❯

core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive … into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to … customers achieve their goals and guide their businesses forward. You will engage with our largest and most complex customers across the region to advise them on adopting the Databricks Data Intelligence Platform, in collaboration with a world-class, cross-functional team of Solutions Architects, Account Executives, and technology Specialists. You will work closely with a small group of customers More ❯

Ind & Func AI Decision Science Manager Senior Level Full time Job Role : Data & Applied Intelligence Strategy Manager Location : London Accenture is a leading professional services company that provides a wide range of services including strategy and consulting, data and analytics, technology and operation services worldwide. With our thought leadership and culture of innovation, we apply industry expertise … we have with our clients and with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO As a team: Data & AI, the people who love using data to tell a story. We're also the world's largest team of data scientists, data engineers, and experts … learning and AI. Our focus is on big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. We believe a mix of data, analytics, automation, and responsible AI can do almost anything-spark digital metamorphoses, widen the range of what humans can do, and breathe life into smart products and services. Want More ❯

well as maximizing the monetization of core strategies, having a measurable impact on our business. As a member of our team, you will leverage your programming, analytical reasoning, and data analysis skills to construct quantitative models that drive our success across a variety of business decisions. You will work on alpha generating strategies, tackle complex portfolio construction challenges, and … capture from internal idea generation. Partner with the Technology team to design and implement scalable infrastructure solutions. Build interactive tools to display analytical findings Integrate SFM and third-party data sets related to historical reference data, factor data, end of day and tick-level data, corporate actions (IPOs, Secondary, M&A, Spin-offs, etc.). Apply … extensive development experience within strategic libraries/frameworks supporting quantitative research. Experience with signal research, back testing, and portfolio optimization. Strong analytical and problem-solving skills. Familiarity with common data science and machine learning tools and libraries. Must have a high degree of attention to detail, be able to multitask, complete projects in a timely manner, and work More ❯

term profitability, we build new analysis from ground up, proposing new concepts and technology to meet business needs. We need strong BIEs who enjoy and excel at diving into data, analyzing root causes, defining long-term solutions and driving their implementation with stakeholders. This position requires superior analytical thinkers, able to quickly approach large ambiguous problems and apply your … Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, extract and manipulate data across various data marts, and align research focuses on Amazon's strategic needs. We are NOT a reporting team and we are not looking for reporting analysts. We … problem at hand. If you have an uncanny ability to decipher the exact policy/mechanism/solution to address the challenge and ability to influence people using hard data (and some tact) then we are looking for you! Key job responsibilities As a Sr. BIE in the team, you will work closely with program managers, software developers, research More ❯

or remote Benefits: Healthcare and great holidays The Role As a Machine Learning Operations Engineer, you will be instrumental in designing, deploying, and maintaining machine learning systems that drive data-driven decision-making in the pensions and financial services sector. Using Azure's cloud ecosystem, you will build scalable ML workflows that support actuarial modelling, risk prediction, and client … classification, regression, ensemble methods, survival models) to improve predictions and automate core processes. 2. MLOps & Model Lifecycle Management * Own the end-to-end ML lifecycle using Azure ML pipelines, Data Factory (ADF), and ML tracking tools. * Implement CI/CD pipelines with Azure DevOps, ensuring robust version control, testing, and seamless deployment. * Monitor production ML systems for performance, data drift, and anomalies using Azure Monitor or other observability tools. * Schedule and automate model retraining pipelines to maintain performance over time. 3. Data Engineering & Preprocessing * Develop and maintain scalable ETL/ELT data pipelines using Azure Data Factory, Data Lake, and SQL. * Prepare and preprocess large datasets to ensure data quality and readiness for More ❯

or remote Benefits: Healthcare and great holidays The Role As a Machine Learning Operations Engineer, you will be instrumental in designing, deploying, and maintaining machine learning systems that drive data-driven decision-making in the pensions and financial services sector. Using Azure's cloud ecosystem, you will build scalable ML workflows that support actuarial modelling, risk prediction, and client … classification, regression, ensemble methods, survival models) to improve predictions and automate core processes. 2. MLOps & Model Lifecycle Management * Own the end-to-end ML lifecycle using Azure ML pipelines, Data Factory (ADF), and ML tracking tools.* Implement CI/CD pipelines with Azure DevOps, ensuring robust version control, testing, and seamless deployment.* Monitor production ML systems for performance, data drift, and anomalies using Azure Monitor or other observability tools.* Schedule and automate model retraining pipelines to maintain performance over time. 3. Data Engineering & Preprocessing * Develop and maintain scalable ETL/ELT data pipelines using Azure Data Factory, Data Lake, and SQL.* Prepare and preprocess large datasets to ensure data quality and readiness for More ❯

the lookout for an experienced Analytics Lead to shape and drive our analytics strategy. At Suvera, our technology team is structured into two key areas: Platform Engineering (product and data engineering) and Analytics (dataandclinical analytics). This role will lead the Analytics function, working closely with Platform Engineering to ensure data flows smoothly across systems and teams. In … the future, it will also own our data science initiatives. You'll play a pivotal role in connecting business needs with technical implementation-helping Suvera scale its data capabilities, foster a data-driven culture, and improve outcomes for patients and clinicians alike. This is a unique opportunity to take ownership of a high-impact area, lead … As Analytics Lead, you will: Optimise the Analytics Stack: Own and evolve our analytics tools-Fivetran, Snowflake, dbt, Mixpanel, and Omni-ensuring they're scalable and enable self-serve data access across Suvera. You'll build a forward-looking roadmap that empowers our analytics team and supports self-serve access to data across the business. Transform data More ❯

Social network you want to login/join with: Are you ready to take the lead in shaping the future of data-driven products at a fast-growing fintech? As the Senior Data Product Owner, you will spearhead data product strategy, manage 2 product owners, and act as a key bridge between technical and business stakeholders. With … in Central London, this position offers a chance to contribute to a market-leading platform in a dynamic, sociable environment. What You'll Do Own and drive the product data roadmap, prioritising impactful initiatives aligned with strategic goals. Collaborate with cross-functional teams to deliver innovative solutions that integrate data science, automation, and enrichment. Act as the … subject matter expert on data warehouse strategy, ensuring optimal leverage of evolving capabilities. Mentor and lead a small team of product owners, supporting their professional growth. Manage dependencies across design, architecture, and technology to drive successful outcomes. What Makes You a Great Fit Proven experience in product management within data, analytics, or business information services industries. Expertise in More ❯

Head Of Data Position A fast-growing, digitally transformed business is seeking a founding member of their data team to build and implement the infrastructure that will support their continued growth and success. Over the past two years, this organisation has adopted a wide range of cloud-based systems across finance, operations, project management, and sales. The next … an experienced candidate to architect the pipelines and reporting structures that bring this vision to life. Working directly with senior leadership, you’ll have the opportunity to shape the data function from the ground up, with a clear path to building and leading your own team in the future. Key Responsibilities Data Architecture & Integration (50%) Design and implement … scalable data pipelines across multiple platforms (ERP, CRM, project management tools, etc.) Develop and maintain ETL/ELT processes to unify cross-functional datasets. Build foundational datasets and collaborate with senior leadership to define data architecture. Design for future scalability and cloud warehouse implementation Data Visualisation & Storytelling (25%) Build dynamic dashboards and reports using Power BI. Work More ❯

Head Of Data Position A fast-growing, digitally transformed business is seeking a founding member of their data team to build and implement the infrastructure that will support their continued growth and success. Over the past two years, this organisation has adopted a wide range of cloud-based systems across finance, operations, project management, and sales. The next … an experienced candidate to architect the pipelines and reporting structures that bring this vision to life. Working directly with senior leadership, you’ll have the opportunity to shape the data function from the ground up, with a clear path to building and leading your own team in the future. Key Responsibilities Data Architecture & Integration (50%) Design and implement … scalable data pipelines across multiple platforms (ERP, CRM, project management tools, etc.) Develop and maintain ETL/ELT processes to unify cross-functional datasets. Build foundational datasets and collaborate with senior leadership to define data architecture. Design for future scalability and cloud warehouse implementation Data Visualisation & Storytelling (25%) Build dynamic dashboards and reports using Power BI. Work More ❯

Head Of Data Position A fast-growing, digitally transformed business is seeking a founding member of their data team to build and implement the infrastructure that will support their continued growth and success. Over the past two years, this organisation has adopted a wide range of cloud-based systems across finance, operations, project management, and sales. The next … an experienced candidate to architect the pipelines and reporting structures that bring this vision to life. Working directly with senior leadership, you’ll have the opportunity to shape the data function from the ground up, with a clear path to building and leading your own team in the future. Key Responsibilities Data Architecture & Integration (50%) Design and implement … scalable data pipelines across multiple platforms (ERP, CRM, project management tools, etc.) Develop and maintain ETL/ELT processes to unify cross-functional datasets. Build foundational datasets and collaborate with senior leadership to define data architecture. Design for future scalability and cloud warehouse implementation Data Visualisation & Storytelling (25%) Build dynamic dashboards and reports using Power BI. Work More ❯

Head Of Data Position A fast-growing, digitally transformed business is seeking a founding member of their data team to build and implement the infrastructure that will support their continued growth and success. Over the past two years, this organisation has adopted a wide range of cloud-based systems across finance, operations, project management, and sales. The next … an experienced candidate to architect the pipelines and reporting structures that bring this vision to life. Working directly with senior leadership, you’ll have the opportunity to shape the data function from the ground up, with a clear path to building and leading your own team in the future. Key Responsibilities Data Architecture & Integration (50%) Design and implement … scalable data pipelines across multiple platforms (ERP, CRM, project management tools, etc.) Develop and maintain ETL/ELT processes to unify cross-functional datasets. Build foundational datasets and collaborate with senior leadership to define data architecture. Design for future scalability and cloud warehouse implementation Data Visualisation & Storytelling (25%) Build dynamic dashboards and reports using Power BI. Work More ❯

Senior Data Scientist, JP Seller Services We are seeking an exceptional Senior Data Scientist to join our JP Seller Services team. Our mission is to help sellers grow and succeed on Amazon Marketplace through innovative products, technology, and data-driven solutions. This role presents a unique opportunity to drive substantial business impact at scale. As a key … member of JP Seller Services, you will collaborate with stakeholders to drive data-informed decisions through advanced analytics, ML modeling, and GenAI. You will develop recommendation systems for brand recruitment and product selection expansion strategies that directly influence the entire organization and seller base through scalable solutions. This requires both expertise in technical methodologies (GenAI, ML, Statistical Modeling) and … strategic thinking to transform complex business dynamics into reproducible and scalable data solutions. Key job responsibilities (1) Develop and scale end-to-end recommendation models using GenAI/ML to identify brand recruitment and product selection expansion opportunities (2) Address critical seller challenges through prediction models and AI-driven reporting systems (3) Partner with stakeholders to translate analytical insights More ❯

new tools and cloud native technologies (e.g. AWS, GCP, Snowflake, Databricks) under the guidance of senior team members Key Skills and Experience required - A strong academic background in Computer Science, Engineering, Data Science, or a related technical discipline Proficiency in Java or Python Strong written and verbal communication skills Proactive learner with the ability to self-teach … new tools and technologies; an ability to educate others Familiarity with the Linux command line and shell scripting Understanding of basic data concepts - file formats (e.g. CSV, Parquet), data pipelines, and storage layers Exposure to containers and Podman or Docker Comfortable using Git; an awareness of CI/CD practices and tools such as GitHub Actions or Azure … containerised development workflows using e.g., VSCode Basic understanding of cloud platforms like AWS or GCP Experience contributing to open-source or internal code templates, demos, or accelerators Familiarity with data catalog services (e.g. Hive, Polaris, Glue) This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. More ❯

Amazon. Our vision is to be the first choice for all types of Chinese business to go globally. And the Global Selling Central BI team is looking for a Data Engineer to collaborate with cross-functional teams to design and develop data infrastructure and analytics capabilities for AGS AI and Automation initiatives. Key job responsibilities • Design and implement … end-to-end data pipelines (ETL) to ensure efficient data collection, cleansing, transformation, and storage, supporting both real-time and offline analytics needs. • Develop automated data monitoring tools and interactive dashboards to enhance business teams' insights into core metrics (e.g., user behavior, AI model performance). • Collaborate with cross-functional teams (e.g., Product, Operations, Tech) to align … data logic, integrate multi-source data (e.g., user behavior, transaction logs, AI outputs), and build a unified data layer. • Establish data standardization and governance policies to ensure consistency, accuracy, and compliance. • Provide structured data inputs for AI model training and inference (e.g., LLM applications, recommendation systems), optimizing feature engineering workflows. • Explore innovative AI-data More ❯

if you would like to help us prevent crime and protect the world's biggest online businesses. The Team You will be joining the Detection team, a team of data scientists and machine learning engineers. The Detection team is responsible for keeping fraud rates low - and clients happy - by continuously training and deploying machine learning models. We aim to … error-free as code deployments. Google's Best Practices for ML Engineering is our bible. Our models are trained to spot multiple types of fraud, using a variety of data sources and techniques in real time. The prediction pipelines are under strict SLAs; every prediction must be returned in under 300ms. When models are not performing as expected, it … s down to the Detection team to investigate why. The Detection team is core to Ravelin's success. They work in a deeply collaborative partnership with the Data Engineering team to design the data architecture and infrastructure that powers our ML systems. The Role We are looking for a Senior Machine Learning Engineer to join our Detection team. More ❯

Backed by leading investors, we recently raised $16M in Series A funding to accelerate our vision of helping 1 billion people learn. The Role We're hiring our first Data Scientist to help us turn raw data into smart decisions, powerful product features, and personalised learning experiences. You'll work closely with the founders and engineers to unlock … insights, build production-ready models, and help shape the future of how people learn. This role sits at the intersection of product, data and engineering. If you're excited by high ownership, greenfield challenges, and making data a core part of a product people already love - this is the role for you. Key Responsibilities Analyse data to … inform product decisions Work with product and engineering to design data experiments and analyse user behaviour Develop scalable data pipelines and automate insights generation Create predictive models, segmentation logic, or recommendation engines as needed Communicate findings clearly to technical and non-technical stakeholders Drive the development of internal analytics tools and dashboards Contribute to the evolution of our More ❯

focused on hands-on development, technical architecture, and solving complex problems in clinical settings. You will architect and implement end-to-end AI pipelines, extract insights from clinical multimodal data, and work with a team of data scientists, machine learning engineers, and analysts to define how artificial intelligence enhances robotic systems to improve patient outcomes in real-time … applications. Key Responsibilities: Lead the development and deployment of deep learning and computer vision models for medical use. Design, implement, and optimize data processing pipelines across structured and unstructured healthcare datasets, including real-time imaging. Translate clinical needs into ML/AI solutions, working closely with cross-disciplinary teams including clinicians, mechanical engineers, software engineers, and regulatory experts. Architect … and deliver AI systems that meet performance, safety, and regulatory standards for real-world use. Mentor junior engineers and scientists, promoting best practices in software architecture, model reproducibility, and data pipeline automation. Define and execute the AI/ML/data roadmap: data governance, cloud-based MLOps, model validation, scalability, and deployment strategy. Ensure data security More ❯