826 to 850 of 1,446 Data Science Jobs in the UK

Money Laundering (AML), Know Your Customer (KYC), Fraud Detection, Regulatory Reporting, and Transaction Monitoring. Advisory Services: Offer consulting on compliance scalability, operating models, regulatory guardrails, compliance governance, and integrated data management. Technology Integration: Leverage cutting-edge platforms, including AI and machine learning models, to deliver state-of-the-art compliance solutions. Thought Leadership: Represent Capgemini as a thought leader … capital markets. Experience working with large Tier 1 banks, insurance organizations, and investment banks dealing with AML, KYC, fraud, and more. Experience building robust, scalable compliance architectures using cloud data platforms (AWS, Azure, GCP) and integrating with financial systems. Demonstrated knowledge in compliance model training, fine-tuning, and deployment, including data pipeline integration. Proficiency in designing compliance systems … to build, mentor, and lead onshore and offshore compliance teams. Client Engagement: Excellent client interaction, problem-solving, and communication skills, with experience working with C-level stakeholders. Educational Background: Data science or STEM degree preferred, with a solid foundation in compliance, AI, ML, and advanced analytics. Innovation and Thought Leadership: Passionate about cutting-edge compliance advancements and delivering More ❯

Money Laundering (AML), Know Your Customer (KYC), Fraud Detection, Regulatory Reporting, and Transaction Monitoring. Advisory Services: Offer consulting on compliance scalability, operating models, regulatory guardrails, compliance governance, and integrated data management. Technology Integration: Leverage cutting-edge platforms, including AI and machine learning models, to deliver state-of-the-art compliance solutions. Thought Leadership: Represent Capgemini as a thought leader … capital markets. Experience working with large Tier 1 banks, insurance organizations, and investment banks dealing with AML, KYC, fraud, and more. Experience building robust, scalable compliance architectures using cloud data platforms (AWS, Azure, GCP) and integrating with financial systems. Demonstrated knowledge in compliance model training, fine-tuning, and deployment, including data pipeline integration. Proficiency in designing compliance systems … to build, mentor, and lead onshore and offshore compliance teams. Client Engagement: Excellent client interaction, problem-solving, and communication skills, with experience working with C-level stakeholders. Educational Background: Data science or STEM degree preferred, with a solid foundation in compliance, AI, ML, and advanced analytics. Innovation and Thought Leadership: Passionate about cutting-edge compliance advancements and delivering More ❯

Money Laundering (AML), Know Your Customer (KYC), Fraud Detection, Regulatory Reporting, and Transaction Monitoring. Advisory Services: Offer consulting on compliance scalability, operating models, regulatory guardrails, compliance governance, and integrated data management. Technology Integration: Leverage cutting-edge platforms, including AI and machine learning models, to deliver state-of-the-art compliance solutions. Thought Leadership: Represent Capgemini as a thought leader … capital markets. Experience working with large Tier 1 banks, insurance organizations, and investment banks dealing with AML, KYC, fraud, and more. Experience building robust, scalable compliance architectures using cloud data platforms (AWS, Azure, GCP) and integrating with financial systems. Demonstrated knowledge in compliance model training, fine-tuning, and deployment, including data pipeline integration. Proficiency in designing compliance systems … to build, mentor, and lead onshore and offshore compliance teams. Client Engagement: Excellent client interaction, problem-solving, and communication skills, with experience working with C-level stakeholders. Educational Background: Data science or STEM degree preferred, with a solid foundation in compliance, AI, ML, and advanced analytics. Innovation and Thought Leadership: Passionate about cutting-edge compliance advancements and delivering More ❯

Money Laundering (AML), Know Your Customer (KYC), Fraud Detection, Regulatory Reporting, and Transaction Monitoring. Advisory Services: Offer consulting on compliance scalability, operating models, regulatory guardrails, compliance governance, and integrated data management. Technology Integration: Leverage cutting-edge platforms, including AI and machine learning models, to deliver state-of-the-art compliance solutions. Thought Leadership: Represent Capgemini as a thought leader … capital markets. Experience working with large Tier 1 banks, insurance organizations, and investment banks dealing with AML, KYC, fraud, and more. Experience building robust, scalable compliance architectures using cloud data platforms (AWS, Azure, GCP) and integrating with financial systems. Demonstrated knowledge in compliance model training, fine-tuning, and deployment, including data pipeline integration. Proficiency in designing compliance systems … to build, mentor, and lead onshore and offshore compliance teams. Client Engagement: Excellent client interaction, problem-solving, and communication skills, with experience working with C-level stakeholders. Educational Background: Data science or STEM degree preferred, with a solid foundation in compliance, AI, ML, and advanced analytics. Innovation and Thought Leadership: Passionate about cutting-edge compliance advancements and delivering More ❯

Money Laundering (AML), Know Your Customer (KYC), Fraud Detection, Regulatory Reporting, and Transaction Monitoring. Advisory Services: Offer consulting on compliance scalability, operating models, regulatory guardrails, compliance governance, and integrated data management. Technology Integration: Leverage cutting-edge platforms, including AI and machine learning models, to deliver state-of-the-art compliance solutions. Thought Leadership: Represent Capgemini as a thought leader … capital markets. Experience working with large Tier 1 banks, insurance organizations, and investment banks dealing with AML, KYC, fraud, and more. Experience building robust, scalable compliance architectures using cloud data platforms (AWS, Azure, GCP) and integrating with financial systems. Demonstrated knowledge in compliance model training, fine-tuning, and deployment, including data pipeline integration. Proficiency in designing compliance systems … to build, mentor, and lead onshore and offshore compliance teams. Client Engagement: Excellent client interaction, problem-solving, and communication skills, with experience working with C-level stakeholders. Educational Background: Data science or STEM degree preferred, with a solid foundation in compliance, AI, ML, and advanced analytics. Innovation and Thought Leadership: Passionate about cutting-edge compliance advancements and delivering More ❯

Customer Insight Analyst Location: Rochdale (Hybrid) Permanent, 36.25 hours per week £42,668 + benefits package Are you passionate about using data to enhance customer experiences? Our client is seeking a dynamic and analytical Customer Insight Analyst to join their innovative Data and Insight team! This is a fantastic opportunity to make a real impact by transforming customer … and elevate customer satisfaction. Key Responsibilities: Design & Implement Surveys: Lead the creation of customer insight surveys (satisfaction, perception, and transactional) that are statistically robust and aligned with industry regulations. Data Integrity Monitoring: Ensure survey performance and data quality while continuously seeking improvement opportunities. Feedback Analysis: Dive deep into both quantitative and qualitative customer feedback to uncover sentiment, trends … and key areas for enhancement. Segmentation Models: Develop detailed customer segmentation models to inform strategic service delivery. Engaging Presentations: Craft compelling, data-driven presentations for senior stakeholders, turning complex insights into clear, actionable outcomes. Cross-Functional Collaboration: Facilitate insight workshops and foster collaboration across departments to inspire customer-led innovation. What We're Looking For: Technical Skills: - Strong proficiency More ❯

Dataiku Developer Type: Contract Location: London, UK - Hybrid Job Detail 5+ years experience in IT industry with experience in designing, planning, implementing, maintaining, and documenting solutions. Experience in Dataiku data science studio tools and coding skills with Python (must-have). Commodity Trading knowledge. Good understanding of relational databases - Microsoft SQL Server and PostgreSQL databases/queries. Knowledge … of AWS skills, navigating through data analytics services/databases, and experience with data platforms such as Databricks/Azure Datahub and similar ones. Data visualization and reporting tools using PowerBI, Microsoft Office 365 skills on Excel integration and Sharepoint. Experience with large-scale enterprise-wide IT environments containing multiple technologies, servers, and logical environments. Proven track More ❯

Head of Data & AI London (Hybrid) Up to £130,000 A high-impact leadership opportunity at a fast-scaling, cloud-native financial services business. This is your chance to take full ownership of the data strategy - spanning engineering, analytics, governance, and AI - and shape how data drives the future of the organisation. You’ll lead a growing … multi-disciplinary team and partner with senior stakeholders across product, technology, risk, and operations to embed data into the core of decision-making, product design, and strategic planning. It’s a great fit for someone who blends technical depth, commercial thinking, and a passion for building high-performance data teams. What you’ll be doing: Own and lead … the enterprise data strategy – across infrastructure, analytics, and AI/ML. Build and scale the team – including engineers, analysts, scientists, and AI/ML specialists. Shape the data platform – ensuring it’s scalable, reliable, and ready for AI-driven innovation. Drive analytics and BI – enabling self-serve tools, structured reporting, and decision-support insight. Support responsible AI adoption More ❯

Head of Data & AI London (Hybrid) Up to £130,000 A high-impact leadership opportunity at a fast-scaling, cloud-native financial services business. This is your chance to take full ownership of the data strategy - spanning engineering, analytics, governance, and AI - and shape how data drives the future of the organisation. You’ll lead a growing … multi-disciplinary team and partner with senior stakeholders across product, technology, risk, and operations to embed data into the core of decision-making, product design, and strategic planning. It’s a great fit for someone who blends technical depth, commercial thinking, and a passion for building high-performance data teams. What you’ll be doing: Own and lead … the enterprise data strategy – across infrastructure, analytics, and AI/ML. Build and scale the team – including engineers, analysts, scientists, and AI/ML specialists. Shape the data platform – ensuring it’s scalable, reliable, and ready for AI-driven innovation. Drive analytics and BI – enabling self-serve tools, structured reporting, and decision-support insight. Support responsible AI adoption More ❯

Head of Data & AI London (Hybrid) Up to £130,000 A high-impact leadership opportunity at a fast-scaling, cloud-native financial services business. This is your chance to take full ownership of the data strategy - spanning engineering, analytics, governance, and AI - and shape how data drives the future of the organisation. You’ll lead a growing … multi-disciplinary team and partner with senior stakeholders across product, technology, risk, and operations to embed data into the core of decision-making, product design, and strategic planning. It’s a great fit for someone who blends technical depth, commercial thinking, and a passion for building high-performance data teams. What you’ll be doing: Own and lead … the enterprise data strategy – across infrastructure, analytics, and AI/ML. Build and scale the team – including engineers, analysts, scientists, and AI/ML specialists. Shape the data platform – ensuring it’s scalable, reliable, and ready for AI-driven innovation. Drive analytics and BI – enabling self-serve tools, structured reporting, and decision-support insight. Support responsible AI adoption More ❯

Head of Data & AI London (Hybrid) Up to £130,000 A high-impact leadership opportunity at a fast-scaling, cloud-native financial services business. This is your chance to take full ownership of the data strategy - spanning engineering, analytics, governance, and AI - and shape how data drives the future of the organisation. You’ll lead a growing … multi-disciplinary team and partner with senior stakeholders across product, technology, risk, and operations to embed data into the core of decision-making, product design, and strategic planning. It’s a great fit for someone who blends technical depth, commercial thinking, and a passion for building high-performance data teams. What you’ll be doing: Own and lead … the enterprise data strategy – across infrastructure, analytics, and AI/ML. Build and scale the team – including engineers, analysts, scientists, and AI/ML specialists. Shape the data platform – ensuring it’s scalable, reliable, and ready for AI-driven innovation. Drive analytics and BI – enabling self-serve tools, structured reporting, and decision-support insight. Support responsible AI adoption More ❯

Head of Data & AI London (Hybrid) Up to £130,000 A high-impact leadership opportunity at a fast-scaling, cloud-native financial services business. This is your chance to take full ownership of the data strategy - spanning engineering, analytics, governance, and AI - and shape how data drives the future of the organisation. You’ll lead a growing … multi-disciplinary team and partner with senior stakeholders across product, technology, risk, and operations to embed data into the core of decision-making, product design, and strategic planning. It’s a great fit for someone who blends technical depth, commercial thinking, and a passion for building high-performance data teams. What you’ll be doing: Own and lead … the enterprise data strategy – across infrastructure, analytics, and AI/ML. Build and scale the team – including engineers, analysts, scientists, and AI/ML specialists. Shape the data platform – ensuring it’s scalable, reliable, and ready for AI-driven innovation. Drive analytics and BI – enabling self-serve tools, structured reporting, and decision-support insight. Support responsible AI adoption More ❯

The purpose of this role is to provide insightful quantitative analysis for the Investment team. Key responsibilities: Deliver data analysis for Portfolio Managers using a variety of tools and programming skills Engage with internal stakeholders to understand their needs and deliver insights to help shape their actions Run ad-hoc quantitative research projects; create tools, techniques, and practices to … sector (ideally investment management) Strong programming skills with Python, C++ or R Understanding of business intelligence tools Knowledge of Blackrock Aladdin would be preferable Relevant degree subject (Maths, Statistics, Data Science or another Science related subject), ideally at the Masters level Self-motivated with a can-do attitude Apply for this job More ❯

Engineer Hybrid Working - UK Wide - 1 day a quarter on site. Financial Services Lorien's leading banking client is looking for a Machine Learning Engineer to join the growing data science and AI team. You'll play a key role in designing, developing, and deploying scalable machine learning solutions using Python and Amazon SageMaker . This role is … site. Key Responsibilities Design and implement machine learning models for classification, regression, and forecasting tasks. Build and manage end-to-end ML pipelines using Amazon SageMaker . Collaborate with data scientists, engineers, and product teams to integrate ML solutions into production systems. Optimise model performance and scalability. Monitor and maintain deployed models, ensuring reliability and accuracy. Stay up-to … date with the latest ML research and tools. Required Skills & Experience Strong proficiency in Python and its ML/data libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow or PyTorch). Hands-on experience with Amazon SageMaker , including training, tuning, and deploying models. Solid understanding of machine learning algorithms and statistical methods. Experience with cloud platforms (AWS preferred). Familiarity More ❯

business, and we’re starting to build momentum. We’ve developed a bespoke web-based platform called Origin, designed to enable engineers and consultants to make smarter decisions using data and insights. This means gathering, using and reusing both project design data and real-world building performance data from start to finish. About the role We are … Model): A toolset for rapidly creating simulation models and outputs We are seeking a Product Lead for Analysis and AI with a broad background in ML, AI, simulation, analysis, data science and research. Bringing your experience with computation and machine learning in the field of architecture, engineering or construction, as well as digital product management, you will play … in this role, you’ll need: Demonstrable experience working either as a product lead or in a related role, with a track record delivering on a variety of complex data-driven projects. Experience working with statistical models and algorithms. Experience with simulation and analysis tools in the built environment. Ability to research, horizon-scan and validate new ideas and More ❯

Peformance Related Bonus CLOSING DATE FOR APPLICATIONS - FRIDAY 3RD AUGUST 2025 CVS FROM RECRUITERS (INCLUDING THOSE ON OUR PSL) WILL NOT BE ACCEPTED - DIRECT APPLICATION ONLY About Us City Science is an industry-leading sustainability, engineering, research and planning consultancy, committed to supporting regions and organisations to reach Net Zero. We partner with local authorities, developers, and organisations to … deliver sustainable change. Position Overview We are seeking a Director of Energy & Environment to lead the division and contribute to City Science's next phase of growth. The ideal candidate will combine strong business acumen and demonstrable people management skills with a passion for sustainability and engineering, and a deep understanding of the intersection between technology, data science … Environment. Managing and providing quality assurance, technical oversight, advisory and analysis as required to ensure successful delivery. Utilise cutting-edge technology and tools, such as advanced simulation software and data analytics platforms, to conduct comprehensive analysis, model scenarios, and robustly forecast future trends. Stay up-to-date with the latest industry trends, emerging technologies, and best practices in the More ❯

of better workflows and smarter insurance analytics. Ability to learn and adapt to new technologies quickly. Previous experience with coding (e.g., SQL, R, Python, Java) and working with large data sets is an advantage. Strong communication and presentation skills, including the ability to move between the minutiae of functional specifications and overarching business objectives with stakeholders at different levels. … Possess a BSc, MSc, or equivalent degree in one of the following disciplines or related fields: Earth/climate sciences (geology, geophysics, seismology, meteorology, etc.) Mathematics, statistics, physics, engineering, data science Risk management/insurance, actuarial science Responsibilities: Moody's is seeking a dynamic and innovative Associate Director to join our Insurance Solutions operating unit as an … and implementing transformational changes to their exposure and risk management workflows. We want to take your exposure and catastrophe risk management expertise and build on it, incorporating the latest science, technologies, and analytics. With this expanded knowledge, you can apply it across many insurance customer situations for potentially huge transformation opportunities. Workflow Migration and Transformation: Leverage the capabilities of More ❯

Python and TypeScript experience and a keen interest in AI? You could be progressing your career in an impactful Senior Software Engineer role at a highly successful American sports data analytics company that is expanding its UK presence. As a Backend Software Engineer you will architect, develop and implement a new multi-agent AI experience that unlocks the power … of the company's football data for coaches, fantasy players and bettors. You'll be working with data at scale, developing AI driven features in close collaboration with Product and Data Science teams to deliver first class customer experiences. You'll focus on backend development primarily using Python and TypeScript to engineer clean code and produce … from anywhere in the UK on a fulltime basis. About you: You have advanced Python and TypeScript backend development skills You have experience of building and shipping multi-agent, data driven AI systems You have a strong understanding of LLMs You're collaborative with great communication skills You're likely to be degree educated in Computer Science or More ❯

AI-driven startup that's transforming how UK cities make transport decisions. You'll play a hands-on role in shaping their main product, an intelligent assistant that brings data-driven insights to the desks of city planners and transport authorities- no data science degree required. This is a mission-led team building tech that supports cleaner … flagship AI-powered analytics tool). Build interactive components and dashboards for non-technical users working in transport and sustainability Collaborate with design and backend teams to translate complex data outputs into clear visuals Integrate mapping tools (e.g. OpenStreetMap ) and data visualisation features Work in a fast-moving environment, where shipping clean, scalable code matters What We're … to usability and detail-you build things people actually want to use Comfortable working in a cross-functional startup team Bonus if you've worked with: Mapbox/OpenStreetMap , data visualisation libraries , or TypeScript Why This Matters TransHumanity is solving a critical problem: how to make transport data actionable for cities. Instead of dashboards buried in spreadsheets, our More ❯

Data Scientist (Hybrid - Manchester) A growing data and analytics company is on the lookout for a Data Scientist to take ownership of its monitoring and alerting infrastructure. This is a fantastic opportunity to play a hands-on role in designing scalable solutions that safeguard data quality and system reliability across a suite of products. The successful … on solving complex problems, and wants to shape how monitoring is done across multiple projects and departments. Key Responsibilities: Design and build robust monitoring and alerting systems to maintain data health and accuracy Define KPIs and thresholds in collaboration with technical and non-technical stakeholders Develop and productionise machine learning and statistical models (Python, PySpark) Deploy monitoring solutions on … AWS infrastructure Create scalable frameworks for future monitoring needs Investigate anomalies and ensure quick resolution of issues in the data pipeline Advocate for data quality best practices across the business Provide mentorship and contribute to a culture of continuous improvement About You: Proficient in Python and SQL Experience working with large datasets, preferably using PySpark Solid understanding of More ❯

Data Scientist (Hybrid - Manchester) A growing data and analytics company is on the lookout for a Data Scientist to take ownership of its monitoring and alerting infrastructure. This is a fantastic opportunity to play a hands-on role in designing scalable solutions that safeguard data quality and system reliability across a suite of products. The successful … on solving complex problems, and wants to shape how monitoring is done across multiple projects and departments. Key Responsibilities: Design and build robust monitoring and alerting systems to maintain data health and accuracy Define KPIs and thresholds in collaboration with technical and non-technical stakeholders Develop and productionise machine learning and statistical models (Python, PySpark) Deploy monitoring solutions on … AWS infrastructure Create scalable frameworks for future monitoring needs Investigate anomalies and ensure quick resolution of issues in the data pipeline Advocate for data quality best practices across the business Provide mentorship and contribute to a culture of continuous improvement About You: Proficient in Python and SQL Experience working with large datasets, preferably using PySpark Solid understanding of More ❯

deploy AI and machine learning models to tackle complex financial challenges Support with wider finance teams to identify high-impact AI use cases across multiple finance domains Partner with data engineers to prepare and structure financial data for modelling Train, test, and fine-tune models, ensuring compliance and ethical standards Integrate AI models with IT and finance systems … systems, adhering to financial regulation requirements Educate and support finance stakeholders in understanding AI capabilities and limitations Profile Degree in a relevant field; advanced qualifications in AI (Machine Learning, Data Science, or Finance) Proven experience in finance-related roles and familiarity with financial processes Strong knowledge of machine learning techniques and generative AI applications Experience working with stakeholders More ❯

deploy AI and machine learning models to tackle complex financial challenges Support with wider finance teams to identify high-impact AI use cases across multiple finance domains Partner with data engineers to prepare and structure financial data for modelling Train, test, and fine-tune models, ensuring compliance and ethical standards Integrate AI models with IT and finance systems … systems, adhering to financial regulation requirements Educate and support finance stakeholders in understanding AI capabilities and limitations Profile Degree in a relevant field; advanced qualifications in AI (Machine Learning, Data Science, or Finance) Proven experience in finance-related roles and familiarity with financial processes Strong knowledge of machine learning techniques and generative AI applications Experience working with stakeholders More ❯

at the intersection of creativity, performance, and AI innovation, this global business helps clients unlock efficiency and effectiveness across the content supply chain. The company blends creative insight with data science and automation to drive DCO at scale. As the Creative Analyst , you'll play a crucial role in turning data into actionable insights that shape creative … strategy and showcase performance impact. This is a perfect opportunity for a curious, analytically minded individual who enjoys blending creativity with data to influence decision-making and innovation. The Role Analyse creative and campaign data to identify trends and performance insights Develop actionable recommendations to improve campaign effectiveness Create reports, visualisations, and presentations for internal and client stakeholders … product teams to refine campaign strategies Contribute to the development of new tools and automation processes (e.g. AI-powered optimisation, creative tagging) The Candidate 2+ years' experience in a data, media, or digital analytics role Knowledge of programmatic and/or social media platforms Familiarity with creative production or DCO campaigns Strong numeracy and analytical skills with a good More ❯

at the intersection of creativity, performance, and AI innovation, this global business helps clients unlock efficiency and effectiveness across the content supply chain. The company blends creative insight with data science and automation to drive DCO at scale. As the Creative Analyst , you'll play a crucial role in turning data into actionable insights that shape creative … strategy and showcase performance impact. This is a perfect opportunity for a curious, analytically minded individual who enjoys blending creativity with data to influence decision-making and innovation. The Role Analyse creative and campaign data to identify trends and performance insights Develop actionable recommendations to improve campaign effectiveness Create reports, visualisations, and presentations for internal and client stakeholders … product teams to refine campaign strategies Contribute to the development of new tools and automation processes (e.g. AI-powered optimisation, creative tagging) The Candidate 2+ years' experience in a data, media, or digital analytics role Knowledge of programmatic and/or social media platforms Familiarity with creative production or DCO campaigns Strong numeracy and analytical skills with a good More ❯