176 to 200 of 535 Data Science Jobs in Central London

Senior Data Scientist x2/3 days a week in the office About the Role & Company This is a leadership opportunity at a fast-scaling AI consultancy known for its technical excellence and track record in delivering real-world impact across some of the most important companies globally. The team helps major clients in the Retail sector apply cutting … edge data science in complex operational environments, balancing innovation with reliability and rigour. You’ll join a deeply technical, collaborative group working on custom AI and machine learning solutions that support automation, forecasting, and decision intelligence. The focus is on strategic value creation: solving ambiguous problems with clarity, and delivering tools that embed into the heart of client … systems. What You’ll Be Doing Set the technical direction on multi-disciplinary data science & AI projects, from approach selection to architecture design Take ownership of full solution pipelines, leading hands-on development and supporting others to do the same Work closely with senior client stakeholders to shape project scope, track value delivery, and communicate findings Oversee a More ❯

Enterprise Architect – Data Focus (£200,000 Total Package, Hybrid Working) The Enterprise Architect will play a key role in defining and governing the enterprise architecture to support the organisation’s strategic objectives. This position will focus primarily on data architecture, ensuring the data landscape is scalable, secure, and aligned with business goals, while also contributing to broader … enterprise architecture initiatives. Key Responsibilities Strategic Architecture Development Define and evolve the target enterprise architecture, with a strong emphasis on data, in alignment with business and technology strategies. Support strategic planning by evaluating emerging technologies, particularly in AI and data, and incorporating them into architectural roadmaps. Identify optimal approaches to delivering business strategy while enhancing agility, simplicity, and … architectural principles, policies, and standards. Provide architectural oversight and assurance for key programmes and initiatives. Offer targeted support to delivery teams throughout the technology lifecycle to ensure strategic alignment. Data Architecture Leadership Develop and maintain high-level models and documentation of the organisation’s data landscape. Guide the design and management of data architecture to meet strategic More ❯

Enterprise Architect – Data Focus (£200,000 Total Package, Hybrid Working) The Enterprise Architect will play a key role in defining and governing the enterprise architecture to support the organisation’s strategic objectives. This position will focus primarily on data architecture, ensuring the data landscape is scalable, secure, and aligned with business goals, while also contributing to broader … enterprise architecture initiatives. Key Responsibilities Strategic Architecture Development Define and evolve the target enterprise architecture, with a strong emphasis on data, in alignment with business and technology strategies. Support strategic planning by evaluating emerging technologies, particularly in AI and data, and incorporating them into architectural roadmaps. Identify optimal approaches to delivering business strategy while enhancing agility, simplicity, and … architectural principles, policies, and standards. Provide architectural oversight and assurance for key programmes and initiatives. Offer targeted support to delivery teams throughout the technology lifecycle to ensure strategic alignment. Data Architecture Leadership Develop and maintain high-level models and documentation of the organisation’s data landscape. Guide the design and management of data architecture to meet strategic More ❯

the Claims Analytics framework, defining key performance and operational metrics. Deliver actionable insights through claims portfolio and operational analytics to inform underwriting and process improvement. Partner with in-house data science teams to develop predictive models and advanced analytics tools. Collaborate with underwriting, actuarial, and claims operations teams to enhance MI reporting and KPI dashboards. Ensure robust data … governance and integrity across all claims datasets. Influence business strategy by presenting findings to senior leadership and contributing to quarterly business reviews. What you’ll bring Strong background in data science and analytics, with experience developing and deploying statistical or machine learning models. Advanced skills in Python or R and SQL, with experience using Power BI or Tableau … for data visualisation. Proven ability to translate complex data into clear, actionable business recommendations. Excellent communication and stakeholder management skills. Prior exposure to insurance or claims environments, ideally within the London Market or specialty lines. Experience building or scaling analytics functions is highly desirable. Why join Work for a global Fortune 500 organisation known for empowering innovation in More ❯

the Claims Analytics framework, defining key performance and operational metrics. Deliver actionable insights through claims portfolio and operational analytics to inform underwriting and process improvement. Partner with in-house data science teams to develop predictive models and advanced analytics tools. Collaborate with underwriting, actuarial, and claims operations teams to enhance MI reporting and KPI dashboards. Ensure robust data … governance and integrity across all claims datasets. Influence business strategy by presenting findings to senior leadership and contributing to quarterly business reviews. What you’ll bring Strong background in data science and analytics, with experience developing and deploying statistical or machine learning models. Advanced skills in Python or R and SQL, with experience using Power BI or Tableau … for data visualisation. Proven ability to translate complex data into clear, actionable business recommendations. Excellent communication and stakeholder management skills. Prior exposure to insurance or claims environments, ideally within the London Market or specialty lines. Experience building or scaling analytics functions is highly desirable. Why join Work for a global Fortune 500 organisation known for empowering innovation in More ❯

Leading pharmaceutical 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 team to build base models according to project specifications and … 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 6 month contract position which provides a daily rate of £688 (Inside IR35). In terms of working structure, this role is hybrid More ❯

Leading pharmaceutical 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 team to build base models according to project specifications and … 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 6 month contract position which provides a daily rate of £688 (Inside IR35). In terms of working structure, this role is hybrid More ❯

Data Science & AI Product Owner | Private Equity | Salary: circa £140k-£170k + Bonus + Excellent Package Opportunity: Looking to break away from corporate red tape and actually ship real AI-powered tools that investment professionals use every day? We're hiring a Data & AI Product Owner to drive meaningful change at one of Europe’s most successful … not your standard product role. You'll be embedded directly into a high-performing investment team (e.g. Private Equity, Credit, Secondaries, Infrastructure), identifying real-world problems and shaping practical, data- and AI-driven solutions, fast. You’ll have the autonomy to experiment with tools like Notion, Retool, Streamlit, n8n , and build lightweight MVPs yourself using Python, JavaScript, or low …/no-code stacks . For complex builds, you’ll partner with engineers and data scientists, but the ideas, testing, prioritisation, and rollout? That’s you. Who will this suit? A senior-level IC. Not a hands-off product manager. Organisation are rewarding for technical ability coupled with business value, not leadership skills. Someone that has clearly demonstrated embedding More ❯

Data Science & AI Product Owner | Private Equity | Salary: circa £140k-£170k + Bonus + Excellent Package Opportunity: Looking to break away from corporate red tape and actually ship real AI-powered tools that investment professionals use every day? We're hiring a Data & AI Product Owner to drive meaningful change at one of Europe’s most successful … not your standard product role. You'll be embedded directly into a high-performing investment team (e.g. Private Equity, Credit, Secondaries, Infrastructure), identifying real-world problems and shaping practical, data- and AI-driven solutions, fast. You’ll have the autonomy to experiment with tools like Notion, Retool, Streamlit, n8n , and build lightweight MVPs yourself using Python, JavaScript, or low …/no-code stacks . For complex builds, you’ll partner with engineers and data scientists, but the ideas, testing, prioritisation, and rollout? That’s you. Who will this suit? A senior-level IC. Not a hands-off product manager. Organisation are rewarding for technical ability coupled with business value, not leadership skills. Someone that has clearly demonstrated embedding More ❯

hybrid The Role As AI Reporting & Insights Lead you'll own the intelligence layer of our AI-powered platform—the dashboards, reports, prompts, and templates that transform raw customer data into clarity. This is a unique hybrid role combining AI expertise, analytical rigor, and customer-facing delivery. You'll define what "great AI-powered reporting" looks like and make … reporting features Close the feedback loop: Channel customer needs back to Product to shape the reporting roadmap Product Collaboration & Innovation (20%) Shape AI reporting features: Partner with Product and Data Science to spec new capabilities—structured output schemas, prompt templates, embedding-based discovery Experiment & prototype: Build proof-of-concepts for new report types using Python, pandas, OpenAI APIs … and our data pipelines QA & iteration: Test new features, validate AI outputs for accuracy and relevance, ensure quality before launch Operations & Optimization (10%) Monitor report health: Track delivery, engagement, and quality metrics; debug when outputs degrade Performance tuning: Optimize report generation costs and latency; balance API usage with quality Document everything: Maintain clear documentation for prompts, templates, and best More ❯

hybrid The Role As AI Reporting & Insights Lead you'll own the intelligence layer of our AI-powered platform—the dashboards, reports, prompts, and templates that transform raw customer data into clarity. This is a unique hybrid role combining AI expertise, analytical rigor, and customer-facing delivery. You'll define what "great AI-powered reporting" looks like and make … reporting features Close the feedback loop: Channel customer needs back to Product to shape the reporting roadmap Product Collaboration & Innovation (20%) Shape AI reporting features: Partner with Product and Data Science to spec new capabilities—structured output schemas, prompt templates, embedding-based discovery Experiment & prototype: Build proof-of-concepts for new report types using Python, pandas, OpenAI APIs … and our data pipelines QA & iteration: Test new features, validate AI outputs for accuracy and relevance, ensure quality before launch Operations & Optimization (10%) Monitor report health: Track delivery, engagement, and quality metrics; debug when outputs degrade Performance tuning: Optimize report generation costs and latency; balance API usage with quality Document everything: Maintain clear documentation for prompts, templates, and best More ❯

Job Title: Head of Data Science Location: Central London (Zone 1) – hybrid Working: 2–3 days/week in-office + ~20–25% EU travel About the Company A billion Euro international B2C company operating across major European markets. The company has recently centralised its data leadership to build a world-class predictive AI capability. With thousands … deployment Strong B2C experience (e.g. ecommerce, gaming, telco) MSc required; PhD optional Executive-level stakeholder management Exposure to GenAI and cloud ML stacks (Databricks, Azure, AWS) Pathway to Chief Data Officer Interested? Please apply below. More ❯

Job Title: Head of Data Science Location: Central London (Zone 1) – hybrid Working: 2–3 days/week in-office + ~20–25% EU travel About the Company A billion Euro international B2C company operating across major European markets. The company has recently centralised its data leadership to build a world-class predictive AI capability. With thousands … deployment Strong B2C experience (e.g. ecommerce, gaming, telco) MSc required; PhD optional Executive-level stakeholder management Exposure to GenAI and cloud ML stacks (Databricks, Azure, AWS) Pathway to Chief Data Officer Interested? Please apply below. More ❯

Lead/Principal Data Scientist x2/3 days a week in the office About the Role & Company This is a leadership opportunity at a fast-scaling AI consultancy known for its technical excellence and track record in delivering real-world impact across highly regulated industries. The team helps major clients in finance, insurance, legal, etc., apply cutting-edge … data science in complex operational environments, balancing innovation with reliability and rigour. You’ll join a deeply technical, collaborative group working on custom AI and machine learning solutions that support automation, forecasting, and decision intelligence. The focus is on strategic value creation: solving ambiguous problems with clarity, and delivering tools that embed into the heart of client systems. … What You’ll Be Doing Set the technical direction on multi-disciplinary data science & AI projects, from approach selection to architecture design Take ownership of full solution pipelines, leading hands-on development and supporting others to do the same Work closely with senior client stakeholders to shape project scope, track value delivery, and communicate findings Oversee a small More ❯

regulatory requirements into technical specifications and automated controls. Experience in delivering solutions in Agile environments and working with cross-functional teams. Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field. Desirable skills/knowledge/experience: Experience in RegTech or working with compliance and audit teams in a banking or … financial services context. Certification in Google Cloud (e.g., Professional Data Engineer, Professional Machine Learning Engineer). Understanding of data privacy, security, and ethical considerations in AI applications. Rewards & Benefits: TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources More ❯

regulatory requirements into technical specifications and automated controls. Experience in delivering solutions in Agile environments and working with cross-functional teams. Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field. Desirable skills/knowledge/experience: Experience in RegTech or working with compliance and audit teams in a banking or … financial services context. Certification in Google Cloud (e.g., Professional Data Engineer, Professional Machine Learning Engineer). Understanding of data privacy, security, and ethical considerations in AI applications. Rewards & Benefits: TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources More ❯

Senior Data Scientist Paying up to £85,000 + bonus Hybrid in London AI/ML-Driven PropTech I am currently working with start/scale up within the PropTech sector looking to hire a Data Scientist to work on high-impact predictive modelling projects in a fast-growing company. This role offers the opportunity to work end … to-end on ML models, helping to revolutionise the property industry by leveraging data-driven insights. As a Data Scientist, you’ll be building and optimising predictive models to understand trends in the property market, such as likelihood of sale and customer retention. You’ll work closely with Data Engineers and Product teams to drive AI/… Be Doing: Developing predictive models to forecast property trends and customer behavior. Leveraging MLOps best practices to ensure efficient model deployment and monitoring. Working end-to-end across the data pipeline – from data extraction to model evaluation. Collaborating with cross-functional teams to turn insights into actionable business decisions. Tech Stack & requirements: Python | SQL | Snowflake | DBT | Tableau | Dataiku More ❯

We have an exciting opportunity for an experienced data & analytics professional to join the Performance team in London. Are you ready to make a different in a values-driven organisation? Can you transform varied data into meaningful insights & communicate effectively with diverse audiences to enhance organisational performance? Do you excel at applying critical thinking to evaluate service delivery … models and drive systemic change to improve outcomes? If you are passionate about using data to tackle complex problems, improve systems and shape strategic decisions, we want to hear from you What we offer: At Victim Support we believe in attracting & retaining the best people and offer a competitive rewards & benefits package including: Flexible working options including hybrid working … scheme & season ticket loans Ongoing training & support with opportunities for career development & progression About the Role: As a Deputy Head of Service for Performance & Quality you will: proactively analyse data from diverse sources, transforming it into powerful & useful insights for our service produce management information, impact analysis, service modelling & customer-focused performance tools monitor service performance & identify risks to More ❯

recent Master’s graduate eager to apply their academic and project experience to developing and deploying AI solutions in real-world settings. You’ll collaborate with experienced AI engineers, data scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and deploying … machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product teams, and data … staying current with advancements in AI and machine learning What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Artificial Intelligence, Computer Science, Data Science, Engineering, Mathematics, or a related discipline Demonstrated project experience (academic research, dissertation work, or personal projects) applying machine learning or AI techniques Strong programming skills More ❯

recent Master’s graduate eager to apply their academic and project experience to developing and deploying AI solutions in real-world settings. You’ll collaborate with experienced AI engineers, data scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, optimisation, and intelligence across multiple industries. What You’ll Be Doing: Designing, developing, and deploying … machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment, and monitoring Building scalable pipelines and APIs for AI services in cloud environments (AWS, Azure, or GCP) Collaborating with engineers, product teams, and data … staying current with advancements in AI and machine learning What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Artificial Intelligence, Computer Science, Data Science, Engineering, Mathematics, or a related discipline Demonstrated project experience (academic research, dissertation work, or personal projects) applying machine learning or AI techniques Strong programming skills More ❯

Role : Data Scientist Location : Remote within the UK, hybrid attendance only when required Type : Contract (6 Months, Inside IR35) My client, a global IT services provider, is seeking a Data Scientist to support a high-impact AI initiative within a commercial banking environment. This role sits within a collaborative delivery team focused on advanced analytics and machine learning … solutions that drive strategic insights and operational efficiency. Responsibilities Collect, clean, and preprocess structured and unstructured data from diverse sources Perform exploratory data analysis (EDA) to uncover trends and anomalies Design and implement data pipelines in collaboration with data engineering teams Apply feature engineering and selection techniques to enhance model performance Build and validate ML models … Tableau, or Python Engage with stakeholders to define use cases and success metrics Participate in Agile ceremonies and contribute to the enterprise AI roadmap Required Skills Proven experience in data science and machine learning Strong Python skills and familiarity with ML libraries (Scikit-learn, TensorFlow, PyTorch) Experience with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn) Ability More ❯

Software Engineer- Python- Data Science and Machine Learning Team The RJC Group is looking for an experienced Software Engineer to join a growing Data Science & Machine Learning team within a global energy and commodities company. This is a hands-on role building the tools, pipelines, and infrastructure that power real-world ML applications across commercial and … operational areas. What You’ll Do Work with data scientists to deliver scalable ML solutions Build and maintain clean, reliable data pipelines and internal tools Collaborate with technical and non-technical stakeholders What You Bring 3–5+ years of experience in software engineering (Python) Experience with fastAPI, cloud platforms (AWS, Azure, or GCP), Docker. Bonus: experience with ML More ❯

I'm currently working with a client in the insurance sector based in London. They're building a new team and looking for a contract Data scientist. What you’ll be doing: Develop AI-driven solutions for underwriting and portfolio analysis. Collaborate cross-functionally with product, underwriting and engineering teams. Contribute to the creation of a digital high net … worth insurance offering. Required skillset: 5+ years professional experience in Data science related roles Insurance industry exposure (must have) Python for traditional data science Generative AI experience (Gemini preferred) Cloud platforms: Azure and/or GCP Agile methodology familiarity Strong communication and stakeholder engagement Contract length - 6 months (Possibility for extension) Location - London (hybrid - 2 days More ❯

I'm currently working with a client in the insurance sector based in London. They're building a new team and looking for a contract Data scientist. What you’ll be doing: Develop AI-driven solutions for underwriting and portfolio analysis. Collaborate cross-functionally with product, underwriting and engineering teams. Contribute to the creation of a digital high net … worth insurance offering. Required skillset: 5+ years professional experience in Data science related roles Insurance industry exposure (must have) Python for traditional data science Generative AI experience (Gemini preferred) Cloud platforms: Azure and/or GCP Agile methodology familiarity Strong communication and stakeholder engagement Contract length - 6 months (Possibility for extension) Location - London (hybrid - 2 days More ❯

the Fraud & ID strategy: Develop a long-term vision for detection, prevention, and verification systems that scale with business growth Own the product roadmap: Translate strategic objectives into clear, data-driven product plans and prioritise ruthlessly based on risk impact and value Drive cross-functional alignment: Collaborate closely with engineering, data science, operations, compliance, and risk teams … in-class fraud and identity solutions where relevant, ensuring ROI and strong performance Champion user trust: Ensure every product decision strengthens trust and reduces friction for legitimate users Leverage data & experimentation: Use analytics, fraud signals, and machine learning models to detect anomalies, test hypotheses, and continuously improve outcomes Monitor performance: Define KPIs for fraud loss rate, false positive reduction … safety, identity verification, or payments, screening experience a plus Strong grasp of fraud detection systems, identity verification flows, and compliance frameworks (KYC, AML, SCA, GDPR, etc.) Experience working with data science , machine learning , or risk operations teams Analytical mindset comfortable working with dashboards, SQL, or data tools to drive insights Excellent stakeholder management and communication skills; can More ❯