2,126 to 2,150 of 4,115 Analytics Jobs in the UK

Senior Analyst – Marketing Mix Modelling | London | £40,000-£65,000 Join a global leader in media investment analytics and shape the future of data-driven marketing. Peaple Talent is proud to be partnering with a world-renowned agency that empowers the biggest brands with evidence-based insights to supercharge their media investment. Through the smart application of data, analytics, and … role in helping clients get the most from their marketing spend. Transform complex data and model outputs into actionable insights that create real value Deliver high-quality MMM and analytics projects across major client accounts Build strong, consultative relationships with internal teams and external clients What We’re Looking For: You’re a commercially savvy analyst with a passion for More ❯

Senior Analyst – Marketing Mix Modelling | London | £40,000-£65,000 Join a global leader in media investment analytics and shape the future of data-driven marketing. Peaple Talent is proud to be partnering with a world-renowned agency that empowers the biggest brands with evidence-based insights to supercharge their media investment. Through the smart application of data, analytics, and … role in helping clients get the most from their marketing spend. Transform complex data and model outputs into actionable insights that create real value Deliver high-quality MMM and analytics projects across major client accounts Build strong, consultative relationships with internal teams and external clients What We’re Looking For: You’re a commercially savvy analyst with a passion for More ❯

Senior Analyst – Marketing Mix Modelling | London | £40,000-£65,000 Join a global leader in media investment analytics and shape the future of data-driven marketing. Peaple Talent is proud to be partnering with a world-renowned agency that empowers the biggest brands with evidence-based insights to supercharge their media investment. Through the smart application of data, analytics, and … role in helping clients get the most from their marketing spend. Transform complex data and model outputs into actionable insights that create real value Deliver high-quality MMM and analytics projects across major client accounts Build strong, consultative relationships with internal teams and external clients What We’re Looking For: You’re a commercially savvy analyst with a passion for More ❯

paced crypto start-up at the forefront of cutting-edge technology. This is your opportunity to work with the latest advancements and take a pivotal role in advancing their analytics platform. As a Senior Machine Learning Engineer, you’ll be at the forefront of innovation, developing and implementing machine learning models to optimize the platform’s performance. You’ll work … with a dynamic team, leveraging state-of-the-art technologies to drive the company’s growth. Responsibilities: Develop and deploy machine learning models to enhance the analytics platform. Collaborate with cross-functional teams to define and implement AI-driven solutions. Work on innovative, data-driven projects within the crypto space. Stay up to date with the latest trends in machine More ❯

at the heart of every decision, empowering teams to better understand their members, partners and products. THE ROLE: As a Senior Product Analys, you'll be the go-to analytics partner for product and business teams - uncovering user behaviour, identifying opportunities, and driving strategy with actionable insights. You will: Leverage quantitative analysis and data storytelling to inform product decisions. Generate … strategic initiatives, delivering clear recommendations. Maintain a central knowledge base of reports, insights and metric definitions. Collaborate cross-functionally to close data gaps and share insights. Stay current on analytics best practices and industry trends, championing a unified approach to data. YOUR SKILLS AND EXPERIENCE: Significant experience working with data in an analytical role, ideally in a consumer/tech … and presentation skills to build convincing, data-led arguments. A self-starter who's curious about user behaviour, detail-oriented and collaborative. WHY APPLY? Shape the future of product analytics in a fast-scaling tech business. Work on a variety of high-impact projects with autonomy and visibility. Competitive salary and benefits in a collaborative, growth-focused culture. More ❯

in SQL. As the Lead Data Engineer, you’ll play a critical role in shaping their data architecture and driving transformation. You’ll partner closely with engineering, product, and analytics teams to ensure efficient, high-performance data systems that enable the business to thrive in a fast-paced environment. Key Responsibilities: Design, develop, and maintain scalable, data pipelines and infrastructure … in a GCP environment. Integrate multiple data sources to ensure seamless data flow across the organization. Build and optimize data models for querying and analytics use cases. Develop fault-tolerant, highly available data ingestion and processing pipelines. Continuously monitor and improve pipeline performance for low-latency and high-throughput operations. Ensure data quality, integrity, and security across all systems. Implement … effective monitoring, logging, and alerting mechanisms. Collaborate with product, engineering, and analytics teams to deliver tailored solutions that meet business needs. About You Strong hands-on experience in data engineering with expertise in Python. Proven track record of building and managing data pipelines. In-depth experience with Google Cloud Platform (GCP) and its associated tools for data ingestion and processing. More ❯

and future-proof.?? What You’ll Be Doing Standardising reports and dashboards across departments Leading the design of new digital solutions with input from global teams Building a data analytics and insights function that supports strategic decision-making Establishing a data quality management process Using predictive analytics to help shape long-term planning Mentoring colleagues on BI tools and data … can engage both technical and non-technical stakeholders Passionate about making data useful, not just beautiful Desirable: Salesforce or Tableau certifications Experience in the nonprofit or charity sector Advanced analytics knowledge and global collaboration experience If this sounds like something you would be interested in get in touch with me More ❯

Lead Data Scientist – Credit Risk/Pricing A fast-growing fintech is searching for a Lead Data Scientist to spearhead their next phase of AI and analytics innovation. You’ll combine hands-on modelling with leadership responsibilities, guiding a small team while shaping the company’s long-term data science strategy. This role will put you at the centre of … senior stakeholders. The Opportunity Lead and develop a small data science team. Build and enhance credit risk, fraud, and pricing models. Explore and implement advanced ML techniques. Translate complex analytics into clear recommendations for senior leadership. Act as the organisation’s AI/ML thought leader, keeping ahead of emerging trends. More ❯

Lead Data Scientist – Credit Risk/Pricing A fast-growing fintech is searching for a Lead Data Scientist to spearhead their next phase of AI and analytics innovation. You’ll combine hands-on modelling with leadership responsibilities, guiding a small team while shaping the company’s long-term data science strategy. This role will put you at the centre of … senior stakeholders. The Opportunity Lead and develop a small data science team. Build and enhance credit risk, fraud, and pricing models. Explore and implement advanced ML techniques. Translate complex analytics into clear recommendations for senior leadership. Act as the organisation’s AI/ML thought leader, keeping ahead of emerging trends. More ❯

Lead Data Scientist – Credit Risk/Pricing A fast-growing fintech is searching for a Lead Data Scientist to spearhead their next phase of AI and analytics innovation. You’ll combine hands-on modelling with leadership responsibilities, guiding a small team while shaping the company’s long-term data science strategy. This role will put you at the centre of … senior stakeholders. The Opportunity Lead and develop a small data science team. Build and enhance credit risk, fraud, and pricing models. Explore and implement advanced ML techniques. Translate complex analytics into clear recommendations for senior leadership. Act as the organisation’s AI/ML thought leader, keeping ahead of emerging trends. More ❯

Lead Data Scientist – Credit Risk/Pricing A fast-growing fintech is searching for a Lead Data Scientist to spearhead their next phase of AI and analytics innovation. You’ll combine hands-on modelling with leadership responsibilities, guiding a small team while shaping the company’s long-term data science strategy. This role will put you at the centre of … senior stakeholders. The Opportunity Lead and develop a small data science team. Build and enhance credit risk, fraud, and pricing models. Explore and implement advanced ML techniques. Translate complex analytics into clear recommendations for senior leadership. Act as the organisation’s AI/ML thought leader, keeping ahead of emerging trends. More ❯

Lead Data Scientist – Credit Risk/Pricing A fast-growing fintech is searching for a Lead Data Scientist to spearhead their next phase of AI and analytics innovation. You’ll combine hands-on modelling with leadership responsibilities, guiding a small team while shaping the company’s long-term data science strategy. This role will put you at the centre of … senior stakeholders. The Opportunity Lead and develop a small data science team. Build and enhance credit risk, fraud, and pricing models. Explore and implement advanced ML techniques. Translate complex analytics into clear recommendations for senior leadership. Act as the organisation’s AI/ML thought leader, keeping ahead of emerging trends. More ❯

platform will serve as the backbone for ingesting, analysing, and visualising operational data – enabling real-time monitoring, alerting, and long-term trend analysis. You will work across disciplines (engineering, analytics, asset operations, trading) to design a scalable, secure, and high-performance platform that supports current needs and enables future growth. The key responsibilities are the following: Project Ownership: Lead the … end-to-end delivery of the data & analytics platform, from discovery through production handover. Define the architectural vision, design decisions, and implementation roadmap; coordinate closely with internal stakeholders. Facilitate technical discovery sessions with the data, trading, and operations teams to capture cross-functional requirements. Ensure that documentation, codebases, and data models are structured to support maintainability and reuse beyond the … Building Actively mentor and upskill internal data engineers and analysts throughout the project. Establish coding standards, design patterns, and operational best practices tailored to the internal capabilities. Support the Analytics team in developing a roadmap for sustained platform ownership and ongoing enhancements. Where appropriate, help integrate platform components with broader trading and forecasting infrastructure. Governance, Security & Handover Define and implement More ❯

platform will serve as the backbone for ingesting, analysing, and visualising operational data – enabling real-time monitoring, alerting, and long-term trend analysis. You will work across disciplines (engineering, analytics, asset operations, trading) to design a scalable, secure, and high-performance platform that supports current needs and enables future growth. The key responsibilities are the following: Project Ownership: Lead the … end-to-end delivery of the data & analytics platform, from discovery through production handover. Define the architectural vision, design decisions, and implementation roadmap; coordinate closely with internal stakeholders. Facilitate technical discovery sessions with the data, trading, and operations teams to capture cross-functional requirements. Ensure that documentation, codebases, and data models are structured to support maintainability and reuse beyond the … Building Actively mentor and upskill internal data engineers and analysts throughout the project. Establish coding standards, design patterns, and operational best practices tailored to the internal capabilities. Support the Analytics team in developing a roadmap for sustained platform ownership and ongoing enhancements. Where appropriate, help integrate platform components with broader trading and forecasting infrastructure. Governance, Security & Handover Define and implement More ❯

platform will serve as the backbone for ingesting, analysing, and visualising operational data – enabling real-time monitoring, alerting, and long-term trend analysis. You will work across disciplines (engineering, analytics, asset operations, trading) to design a scalable, secure, and high-performance platform that supports current needs and enables future growth. The key responsibilities are the following: Project Ownership: Lead the … end-to-end delivery of the data & analytics platform, from discovery through production handover. Define the architectural vision, design decisions, and implementation roadmap; coordinate closely with internal stakeholders. Facilitate technical discovery sessions with the data, trading, and operations teams to capture cross-functional requirements. Ensure that documentation, codebases, and data models are structured to support maintainability and reuse beyond the … Building Actively mentor and upskill internal data engineers and analysts throughout the project. Establish coding standards, design patterns, and operational best practices tailored to the internal capabilities. Support the Analytics team in developing a roadmap for sustained platform ownership and ongoing enhancements. Where appropriate, help integrate platform components with broader trading and forecasting infrastructure. Governance, Security & Handover Define and implement More ❯

platform will serve as the backbone for ingesting, analysing, and visualising operational data – enabling real-time monitoring, alerting, and long-term trend analysis. You will work across disciplines (engineering, analytics, asset operations, trading) to design a scalable, secure, and high-performance platform that supports current needs and enables future growth. The key responsibilities are the following: Project Ownership: Lead the … end-to-end delivery of the data & analytics platform, from discovery through production handover. Define the architectural vision, design decisions, and implementation roadmap; coordinate closely with internal stakeholders. Facilitate technical discovery sessions with the data, trading, and operations teams to capture cross-functional requirements. Ensure that documentation, codebases, and data models are structured to support maintainability and reuse beyond the … Building Actively mentor and upskill internal data engineers and analysts throughout the project. Establish coding standards, design patterns, and operational best practices tailored to the internal capabilities. Support the Analytics team in developing a roadmap for sustained platform ownership and ongoing enhancements. Where appropriate, help integrate platform components with broader trading and forecasting infrastructure. Governance, Security & Handover Define and implement More ❯

platform will serve as the backbone for ingesting, analysing, and visualising operational data – enabling real-time monitoring, alerting, and long-term trend analysis. You will work across disciplines (engineering, analytics, asset operations, trading) to design a scalable, secure, and high-performance platform that supports current needs and enables future growth. The key responsibilities are the following: Project Ownership: Lead the … end-to-end delivery of the data & analytics platform, from discovery through production handover. Define the architectural vision, design decisions, and implementation roadmap; coordinate closely with internal stakeholders. Facilitate technical discovery sessions with the data, trading, and operations teams to capture cross-functional requirements. Ensure that documentation, codebases, and data models are structured to support maintainability and reuse beyond the … Building Actively mentor and upskill internal data engineers and analysts throughout the project. Establish coding standards, design patterns, and operational best practices tailored to the internal capabilities. Support the Analytics team in developing a roadmap for sustained platform ownership and ongoing enhancements. Where appropriate, help integrate platform components with broader trading and forecasting infrastructure. Governance, Security & Handover Define and implement More ❯

Junior Full Stack Developer – AI Analytics Platform (FinTech). We’re partnered with an innovative fintech business building a cutting-edge AI-driven analytics platform for the financial services sector. They’re looking for a motivated Junior Full Stack Developer to join their growing engineering team. This is a great opportunity to work with modern technologies across both backend and … from API development and database optimisation, through to building responsive UIs and supporting real-time market data integrations. Key Responsibilities Develop and maintain RESTful APIs for portfolio risk and analytics using Python and FastAPI Build responsive React components for visualising financial data and portfolio management Implement data validation and type safety with Pydantic models and TypeScript Write unit and integration More ❯

Computer Vision Engineer - Sports Analytics Innovation Location: London, UK (Hybrid/Flexible) Salary: £70,000 base + OTE up to £140k-£200k in Year 1 About the Opportunity We are working with a pioneering technology company at the forefront of sports analytics and artificial intelligence . This is a unique chance to apply your expertise in computer vision and machine … for real-time applicationsStrong data science and metrics literacy Nice to have: PhD or Master's in Computer Science, AI, or related fieldExperience with sports data, tracking systems, or analytics platformsFamiliarity with cloud platforms (AWS, GCP) and containerization (Docker) Why Apply? Work on high-impact, real-world projects where your algorithms will be deployed in live sports environmentsJoin a team More ❯

Computer Vision Engineer - Sports Analytics Innovation Location: London, UK (Hybrid/Flexible) Salary: £70,000 base + OTE up to £140k-£200k in Year 1 About the Opportunity We are working with a pioneering technology company at the forefront of sports analytics and artificial intelligence . This is a unique chance to apply your expertise in computer vision and machine … time applications Strong data science and metrics literacy Nice to have: PhD or Master's in Computer Science, AI, or related field Experience with sports data, tracking systems, or analytics platforms Familiarity with cloud platforms (AWS, GCP) and containerization (Docker) Why Apply? Work on high-impact, real-world projects where your algorithms will be deployed in live sports environments Join More ❯

10+ years SAP experience, including 2-3 full PaPM implementations Deep expertise in SAP PaPM modelling, reporting, and integration Strong knowledge of SAP HANA, BW/4HANA, and financial analytics Ability to translate complex business needs into scalable solutions Experience with large datasets and performance tuning Desirable Skills SAP Analytics Cloud or SAP BTP experience Familiarity with Power BI, Azure More ❯

of implementing machine learning and AI - Tooling such as Purview and Unity Catalog as well as the use of observability tools such as Monte Carlo, Fabric Monitoring and Log Analytics - Mentoring/Leading/Management experience initially with a small team but with a view that this will grow - Ideally skills in Delta Live Tables, Kafka, Azure Stream Analytics, Azure More ❯

looking to bring in a Learning Analyst to sit within their high-performing Insight function. Reporting into a Senior Insight Manager, this role is a great opportunity to combine analytics, modelling, and experimentation to shape how thousands of learners engage with digital products! THE ROLE You’ll be joining a growing team (currently 8, will be 10 by end of … paths Using tools like Power BI and Microsoft Fabric to surface insights that inform design and curriculum improvements This is a great chance to get stuck into modern data & analytics platforms in order to deliver tangible success for the organisation YOUR SKILLS & EXPERIENCE SQL - good level of proficiency Exposure to Microsoft Fabric preferrable but not essential The ability to communicate More ❯

days a week) Up to £80,000 We are working with ahousehold fashion brand. They are on the lookout for a Principal Data Scientist to join its growing Data & Analytics team. With a presence across a thriving eCommerce platform, mobile app, and 300+ retail stores, this is your chance to join an exciting team. As Principal Data Scientist, you’ll … segmentation, lifetime value prediction, churn prevention, and marketing attribution. Partner closely with CRM, Digital Marketing, and eCommerce teams to deliver data-driven improvements across the customer journey. Leverage advanced analytics to understand customer behaviour and optimise marketing spend and engagement. Ensure data quality and scalable infrastructure for marketing and customer data. Drive innovation by staying ahead of AI/ML More ❯

days a week) Up to £80,000 We are working with ahousehold fashion brand. They are on the lookout for a Principal Data Scientist to join its growing Data & Analytics team. With a presence across a thriving eCommerce platform, mobile app, and 300+ retail stores, this is your chance to join an exciting team. As Principal Data Scientist, you’ll … segmentation, lifetime value prediction, churn prevention, and marketing attribution. Partner closely with CRM, Digital Marketing, and eCommerce teams to deliver data-driven improvements across the customer journey. Leverage advanced analytics to understand customer behaviour and optimise marketing spend and engagement. Ensure data quality and scalable infrastructure for marketing and customer data. Drive innovation by staying ahead of AI/ML More ❯