151 to 175 of 535 Data Science Jobs in Central London

Lead Data Engineer As a Lead Data Engineer, you’ll be instrumental in driving innovation through advanced analytics, AI, cloud technologies, and data science. You will help build a new Data & Analytics function and unified data platform. Key Responsibilities: Develop and execute a data engineering strategy that aligns with organisational goals and technological advancements. … Design and implement a scalable, reliable, and cost-efficient modern cloud data platform. Build and maintain robust ETL/ELT pipelines for processing and managing large volumes of structured and unstructured data. Create and manage Power BI dashboards, reports, and data models to provide strategic insights. Integrate cutting-edge technologies like AI, real-time analytics, and automation into … our data infrastructure. Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: Proficiency in cloud platforms (Azure, AWS, or GCP) and data processing services. Advanced skills in Power BI, including DAX, Power Query, and data modelling. Strong programming abilities in Python, SQL, and/or Scala. Expertise in ETL/ More ❯

Data Scientist – Marketing Analytics 3-Month Contract £480 Per Day Outside IR35 Our client is a rapidly growing business operating in over 80 countries. The data science function is relatively new and plays a pivotal role in measuring marketing effectiveness and refining campaign strategies across global markets. We are looking for a Data Scientist to join … the marketing analytics team, focusing on marketing effectiveness, experimentation, and automation. You will work closely with marketing teams to evaluate campaigns, measure impact, and help drive data-informed decisions across multiple platforms including Meta and Google. Key Responsibilities: Lead Marketing Mix Modelling (MMM) initiatives to evaluate campaign effectiveness using tools such as Robyn (Meta) and Meridian (Google). Finalise … and performance optimisation. Collaborate with internal stakeholders and third-party clients (e.g., VS, JoJo, Zalando) to align analytics efforts. Required Skills & Experience: 4–5 years of commercial experience in data science , preferably in eCommerce or marketing analytics. Strong hands-on experience with Databricks, SQL, Python, and PySpark ; knowledge of R and dashboarding tools is a plus. Proven experience More ❯

us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role Capgemini Financial Services is seeking a Data Engineer with deep expertise in DBT (Data Build Tool), Snowflake, and PL/SQL to join our growing data team. Person will be responsible for designing, developing … and maintaining robust data transformation pipelines that support business intelligence, analytics, and data science initiatives. Key Responsibilities: Design and implement scalable data models and transformation pipelines using DBT on Snowflake. Write efficient and maintainable PL/SQL code for complex data processing and transformation tasks. Collaborate with data analysts, data scientists, and business … stakeholders to understand data requirements and deliver high-quality solutions. Optimize Snowflake performance through query tuning, clustering, and resource management. Ensure data quality, integrity, and governance through testing, documentation, and monitoring. Participate in code reviews, architecture discussions, and continuous improvement initiatives. Maintain and enhance CI/CD pipelines for DBT projects. Required Qualifications: 5+ years of experience in More ❯

us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role Capgemini Financial Services is seeking a Data Engineer with deep expertise in DBT (Data Build Tool), Snowflake, and PL/SQL to join our growing data team. Person will be responsible for designing, developing … and maintaining robust data transformation pipelines that support business intelligence, analytics, and data science initiatives. Key Responsibilities: Design and implement scalable data models and transformation pipelines using DBT on Snowflake. Write efficient and maintainable PL/SQL code for complex data processing and transformation tasks. Collaborate with data analysts, data scientists, and business … stakeholders to understand data requirements and deliver high-quality solutions. Optimize Snowflake performance through query tuning, clustering, and resource management. Ensure data quality, integrity, and governance through testing, documentation, and monitoring. Participate in code reviews, architecture discussions, and continuous improvement initiatives. Maintain and enhance CI/CD pipelines for DBT projects. Required Qualifications: 5+ years of experience in More ❯

Senior Data Scientist Consultant – London | Hybrid Who I’m looking for You’re an experienced consultant who thrives on solving complex client challenges through data, analytics, and technology. You’re confident operating in ambiguous environments, bringing structure, clarity, and insight to every engagement. You combine deep technical expertise with strong communication skills — able to translate complex analytical findings … into clear, actionable recommendations for clients. You build trust quickly, are commercially aware, and enjoy working at the intersection of data science, strategy, and innovation. You’re equally comfortable presenting to senior stakeholders, mentoring junior team members, or getting hands-on developing prototypes and scalable analytical solutions. What you’ll be doing Leading client engagements as a trusted … learning. Translating client challenges into well-defined analytical problems and evidence-based recommendations. Scoping and delivering complex technical projects end-to-end. Designing and implementing cloud-based or hybrid data solutions (AWS, Azure, or GCP). Applying advanced analytical and statistical methods to uncover insights and support decision-making. Writing maintainable, production-quality code (Python or similar) and adhering More ❯

Senior Data Scientist Consultant – London | Hybrid Who I’m looking for You’re an experienced consultant who thrives on solving complex client challenges through data, analytics, and technology. You’re confident operating in ambiguous environments, bringing structure, clarity, and insight to every engagement. You combine deep technical expertise with strong communication skills — able to translate complex analytical findings … into clear, actionable recommendations for clients. You build trust quickly, are commercially aware, and enjoy working at the intersection of data science, strategy, and innovation. You’re equally comfortable presenting to senior stakeholders, mentoring junior team members, or getting hands-on developing prototypes and scalable analytical solutions. What you’ll be doing Leading client engagements as a trusted … learning. Translating client challenges into well-defined analytical problems and evidence-based recommendations. Scoping and delivering complex technical projects end-to-end. Designing and implementing cloud-based or hybrid data solutions (AWS, Azure, or GCP). Applying advanced analytical and statistical methods to uncover insights and support decision-making. Writing maintainable, production-quality code (Python or similar) and adhering More ❯

Data Scientist - Contract This position involves developing AI and data science solutions to address key business challenges in the insurance sector. The work includes close collaboration with underwriters, product managers, and other stakeholders to ensure meaningful business impact. Projects may include building a digital high net worth insurance product or a portfolio analysis tool. Key Responsibilities * Participate … progress, risks, and issues * Troubleshoot and resolve operational issues promptly * Pursue certifications to enhance software engineering skills Candidate Profile * Familiarity with the insurance industry * Proficiency in Python for traditional data science * Experience with generative AI tools, especially Gemini * Knowledge of cloud platforms such as Azure or GCP * Ability to interpret technical design documentation * Strong communication skills across disciplines … in Agile environments * Effective time management and prioritisation * Strong analytical and problem-solving capabilities * Comfortable working in fast-paced, ambiguous settings * Holds a degree in Information Technology or Computer Science London 2 days a week Outside IR35 Need someone immediately available Please send me a copy of your CV is you're interested More ❯

Data Scientist | AI Tech Start-Up | £60,000-£85,000 DOE + Shares | London/Hybrid We are excited to be working with a rapidly growing AI tech start-up that’s expanding its team with a talented Data Scientist. The Company This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision … on, intelligent insights, empowering top-tier clients across sectors, including asset management, banking, retail, telecoms, supply chain, and utilities, to dramatically enhance performance and efficiency. The Role As a Data Scientist, you’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises. This isn’t your typical data science position … on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You More ❯

Data Scientist | AI Tech Start-Up | £60,000-£85,000 DOE + Shares | London/Hybrid We are excited to be working with a rapidly growing AI tech start-up that’s expanding its team with a talented Data Scientist. The Company This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision … on, intelligent insights, empowering top-tier clients across sectors, including asset management, banking, retail, telecoms, supply chain, and utilities, to dramatically enhance performance and efficiency. The Role As a Data Scientist, you’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises. This isn’t your typical data science position … on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by cutting-edge AI tools. The Candidate Key attributes of the suitable Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You More ❯

About the Opportunity This is a unique opportunity for a Data Engineer to work at the intersection of cutting-edge technology and elite sports performance. You’ll join a collaborative, high-standard engineering team with a culture built around creativity, innovation, and excellence. In this role, you’ll play a key part in designing and developing scalable data … the football world—including performance insights for some of the most well-known footballers in the industry . This is the perfect environment for those passionate about leveraging advanced data engineering to drive real-world results in sports analytics. Key Responsibilities Architect, design, build, test, and maintain scalable and high-performance data pipelines Ensure all systems adhere to … best practices for data quality, integrity, and security Integrate modern data engineering tools and technologies into cloud-native infrastructure Develop tools and solutions to support sports data modeling, analytics, and predictive insights Collaborate with data scientists to enable end-to-end data workflows Own the architecture and maintenance of a GCP-based data lake More ❯

About the Opportunity This is a unique opportunity for a Data Engineer to work at the intersection of cutting-edge technology and elite sports performance. You’ll join a collaborative, high-standard engineering team with a culture built around creativity, innovation, and excellence. In this role, you’ll play a key part in designing and developing scalable data … the football world—including performance insights for some of the most well-known footballers in the industry . This is the perfect environment for those passionate about leveraging advanced data engineering to drive real-world results in sports analytics. Key Responsibilities Architect, design, build, test, and maintain scalable and high-performance data pipelines Ensure all systems adhere to … best practices for data quality, integrity, and security Integrate modern data engineering tools and technologies into cloud-native infrastructure Develop tools and solutions to support sports data modeling, analytics, and predictive insights Collaborate with data scientists to enable end-to-end data workflows Own the architecture and maintenance of a GCP-based data lake More ❯

Data Scientist- £450PD- Hybrid What you'll be doing: * Building solutions to critical business problems using a combination of data science and AI. * Working closely with underwriters, product managers, and other stakeholders to ensure that your work delivers tangible business value. * Contributing to projects such as developing a digital high net worth insurance offering and/or … during daily operations, providing timely solutions as required. * Enhance technical and software engineering skills through ongoing training and certifications. Person Specification: * Exposure to the insurance industry. * Experience with traditional data science techniques in Python. * Experience building solutions using generative AI (particularly Gemini). * Experience working with Azure and/or Google Cloud Platform (GCP). * Ability to understand … methodologies. * Excellent prioritization and time-management abilities. * Strong analytical and problem-solving skills. * Comfortable dealing with ambiguity in a fast-paced environment. * Bachelor's degree in Information Technology, Computer Science, or a related field. To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed). Tenth Revolution Group More ❯

Subscription Analytics Manager Location: Harmsworth Media Headquarters, Derry Street, HSK, London Position: Permanent Role Overview As Analytics Manager you will play a key role in driving data analytics initiatives that support subscriber growth and retention strategies at Harmsworth Media (the I Paper and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs … build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve … models to provide deep insights into the subscription base and inform Product/Marketing strategies. Utilise predictive analytics and retention modelling to forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives. Deliver actionable recommendations to More ❯

Role: Staff AI/ML Scientist – Search, RecSys, Personalization & GenAI (Dubai based) Join a high-performing Data Science team whose mission is to drive competitive value through scalable AI solutions. The team builds models that enhance user experiences, enable better decision-making, improve operational efficiency, and shape the regional AI ecosystem. As a senior technical leader, you’ll … Lead end-to-end AI transformation focused on personalization in a consumer-facing application. Define and execute a long-term vision for customer acquisition and engagement strategies powered by data and AI. Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements. Design and deploy data/ML instrumentation to … extract insights and optimize the product experience. Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses. Build and scale machine learning algorithms and pipelines to production using big data technologies. Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications. Design and evaluate A/B tests and communicate results across More ❯

Role: Staff AI/ML Scientist – Search, RecSys, Personalization & GenAI (Dubai based) Join a high-performing Data Science team whose mission is to drive competitive value through scalable AI solutions. The team builds models that enhance user experiences, enable better decision-making, improve operational efficiency, and shape the regional AI ecosystem. As a senior technical leader, you’ll … Lead end-to-end AI transformation focused on personalization in a consumer-facing application. Define and execute a long-term vision for customer acquisition and engagement strategies powered by data and AI. Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements. Design and deploy data/ML instrumentation to … extract insights and optimize the product experience. Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses. Build and scale machine learning algorithms and pipelines to production using big data technologies. Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications. Design and evaluate A/B tests and communicate results across More ❯

Senior Data Scientist - BioTech - London A pioneering London-based biotech company are looking for a Senior Data Scientist to join their team. What will I be doing? Drive breakthrough algorithm development that's never been done before. You'll be the technical powerhouse behind revolutionary nanopore technology, transforming impossibly noisy time-series data into game-changing insights … future of proteomics - your algorithms will directly enable discoveries that could revolutionize drug development and diagnostics. What are we looking for? PhD (or MSc + equivalent experience) in Computer Science, Data Science, Mathematics, Physics, or Bioinformatics 5+ years post-qualification experience tackling complex technical challenges Expert-level Python programming (NumPy, PyTorch/TensorFlow, SciPy, pandas) Deep expertise More ❯

On Back-End Developer Remote-Friendly | London HQ | Award-Winning Agricultural Technology Software Company Join an award-winning agricultural analytics software company that's redefining sustainable food production through data-driven technology . We're seeking a hands-on Chief Technology Officer (CTO) — an exceptional technical leader who thrives on both strategic vision and deep technical execution . Role … while remaining deeply involved in hands-on back-end development . You'll architect scalable systems, drive innovation in sustainable technology, and guide a talented engineering team to deliver data-rich solutions that improve farm economics, productivity, and environmental impact . Key Responsibilities Lead technical strategy and oversee architecture for scalable, data-driven systems. Remain actively hands-on … and guide a growing team of developers — setting technical standards and driving best practices. Oversee end-to-end solution delivery, ensuring performance, security, and maintainability. Collaborate cross-functionally with data scientists, agronomists, and stakeholders to shape product direction. Own cloud infrastructure strategy and implementation on Microsoft Azure . Lead innovation in sustainability-focused agricultural technology and analytics . Contribute More ❯

On Back-End Developer Remote-Friendly | London HQ | Award-Winning Agricultural Technology Software Company Join an award-winning agricultural analytics software company that's redefining sustainable food production through data-driven technology . We're seeking a hands-on Chief Technology Officer (CTO) — an exceptional technical leader who thrives on both strategic vision and deep technical execution . Role … while remaining deeply involved in hands-on back-end development . You'll architect scalable systems, drive innovation in sustainable technology, and guide a talented engineering team to deliver data-rich solutions that improve farm economics, productivity, and environmental impact . Key Responsibilities Lead technical strategy and oversee architecture for scalable, data-driven systems. Remain actively hands-on … and guide a growing team of developers — setting technical standards and driving best practices. Oversee end-to-end solution delivery, ensuring performance, security, and maintainability. Collaborate cross-functionally with data scientists, agronomists, and stakeholders to shape product direction. Own cloud infrastructure strategy and implementation on Microsoft Azure . Lead innovation in sustainability-focused agricultural technology and analytics . Contribute More ❯

MMM Data Scientist - Marketing Mix Modelling - Python, Bayesian, PYMC Leading Consumer Goods client now requires a Senior Data Scientist to drive marketing effectiveness via marketing mix modelling and other models. This role will oversee data collection, extraction, manipulation, analysis and validation ensuring data is ready for modelling. You will work closely with the Data Science … Regression based models in an MMM context. Strong understanding of statistical modelling/Machine Learning techniques. Experience with probabilistic programming and Bayesian methods Good working knowledge of cloud-based data science frameworks. This is a 12 month contract position which provides a daily rate of £650 (Inside IR35). Remote working, but only accepting applications from UK based More ❯

ll be doing: Lead the design and deployment of next-generation AI systems across Generative AI, Computer Vision, Forecasting, and Optimisation. Build and lead a world-class team of data scientists and ML engineers, setting technical direction and best practices across the company. Oversee the full AI lifecycle from experimentation and model development to robust ML deployment on Azure. … multimodal learning to enhance decision-making and automation. Translate complex research into tangible business outcomes, driving measurable value and competitive advantage. About you: Proven track record leading AI or data science teams in production supply chain or logistics environments. Deep expertise in Computer Vision and Generative AI, with strong understanding of modern ML architectures, model training, and deployment … techniques. 7+ years’ experience in applied ML, data science, or AI, including senior or leadership roles. Expert in Python, proficient with frameworks such as PyTorch, TensorFlow, FastAI, and experience with scikit-learn, MLflow, or ONNX. Solid engineering background—experienced in deploying and maintaining ML systems on Azure, including Azure Machine Learning, Azure Functions, Databricks, Docker, and Kubernetes. Experience More ❯

ll be doing: Lead the design and deployment of next-generation AI systems across Generative AI, Computer Vision, Forecasting, and Optimisation. Build and lead a world-class team of data scientists and ML engineers, setting technical direction and best practices across the company. Oversee the full AI lifecycle from experimentation and model development to robust ML deployment on Azure. … multimodal learning to enhance decision-making and automation. Translate complex research into tangible business outcomes, driving measurable value and competitive advantage. About you: Proven track record leading AI or data science teams in production supply chain or logistics environments. Deep expertise in Computer Vision and Generative AI, with strong understanding of modern ML architectures, model training, and deployment … techniques. 7+ years’ experience in applied ML, data science, or AI, including senior or leadership roles. Expert in Python, proficient with frameworks such as PyTorch, TensorFlow, FastAI, and experience with scikit-learn, MLflow, or ONNX. Solid engineering background—experienced in deploying and maintaining ML systems on Azure, including Azure Machine Learning, Azure Functions, Databricks, Docker, and Kubernetes. Experience More ❯

Data Architect £80,000 + excellent benefits 2 days a month in the office (just outside London) A leading tech client is hiring a Data Architect to design and evolve scalable data platforms and modern data products that underpin analytics, AI, and data-driven decision-making. You’ll work in a cross-functional team of … Data Engineers, Analytics Engineers, Data Scientists, and AI Specialists to build the data foundations that power insight, automation, and innovation across the organisation. Key Responsibilities: Design and maintain scalable data platforms using cloud-native technologies such as Databricks and AWS across development, staging, and production environments Build and govern dimensional data models and semantic layers … to power consistent and trusted analytics Integrate data from diverse sources including cloud warehouses, APIs, and operational systems Define semantic layers using dbt and Delta Live Tables to ensure consistency across analytics and AI use cases Enable Generative AI and ML workloads by designing pipelines for vector search, RAG, and feature engineering Implement secure access and governance controls including More ❯

Lunalogic is a consulting firm structured around two main areas of expertise: Finance, Risk & Regulatory – supporting financial institutions, insurers, and industrial companies in risk management, compliance, and quantitative modeling. Data Science, Artificial Intelligence & Blockchain – designing and deploying advanced machine learning, deep learning, data engineering, and blockchain solutions across multiple industries. For over 20 years, we have been … developing sophisticated algorithms and infrastructures that leverage the full potential of data science and blockchain to address real-world challenges: quantitative modeling, business process automation, fraud detection, industrial system optimization, and predictive analytics. We work with both major corporations and SMEs across finance, banking, insurance, healthcare, and industry. Our strength lies in our R&D-driven innovation and … KDB+ production environments. Take part in Agile ceremonies (sprint planning, estimation, delivery follow-up). Required Skills Strong experience in Q/KDB+ development, including building and managing large data stacks. Proficiency in UNIX/Linux environments and scripting (Bash). Good understanding of software development processes and Agile methodologies Preferred Skills Knowledge of Front Office FX business and More ❯

Quantitative Power Analyst (Data Scientist) Short Term Intraday Stack Models Power Trading London We are working with one of the UK’s leading power generation companies - generating 10–15% of the UK’s electricity - with sites across the UK, Ireland, and Germany. As they scale from 3.5 GW to 7 GW of generation and add 500 MW of battery … storage, they're building out their data science capability on the trading floor. We are seeking a highly motivated Quantitative Power Analyst to join our trading team. This role is focused on short-term power markets and sits at the intersection of trading, quantitative analysis, and data-driven modelling. Top Three Focus Areas Developing algorithms for asset … ensuring models are commercially relevant and impactful. Build intraday trading tools and collaborate on automated strategies Apply time series and fundamentals-based modelling to support trading decisions Work alongside data engineers to deploy production-grade code Mentor others and help embed data science best practices across the team What we're looking for Strong quantitative background; Master More ❯

Quantitative Power Analyst (Data Scientist) Short Term Intraday Stack Models Power Trading London We are working with one of the UK’s leading power generation companies - generating 10–15% of the UK’s electricity - with sites across the UK, Ireland, and Germany. As they scale from 3.5 GW to 7 GW of generation and add 500 MW of battery … storage, they're building out their data science capability on the trading floor. We are seeking a highly motivated Quantitative Power Analyst to join our trading team. This role is focused on short-term power markets and sits at the intersection of trading, quantitative analysis, and data-driven modelling. Top Three Focus Areas Developing algorithms for asset … ensuring models are commercially relevant and impactful. Build intraday trading tools and collaborate on automated strategies Apply time series and fundamentals-based modelling to support trading decisions Work alongside data engineers to deploy production-grade code Mentor others and help embed data science best practices across the team What we're looking for Strong quantitative background; Master More ❯