1 to 25 of 169 Predictive Modelling Jobs in London

and consumer behaviour? Join a fast-growing retail innovation company in the heart of London. We're looking for a Junior Data Scientist eager to apply their analytical and modelling skills to support data-driven decisions that improve performance, enhance customer engagement, and increase profitability across the retail value chain. 🔍 Your Responsibilities: Analyse consumer and sales data: Work with … large, complex datasets to uncover insights on shopper behaviour, purchasing trends, and retail performance. Support predictive modelling: Collaborate on machine learning models to forecast demand, optimise inventory, and personalise the customer journey. Develop retail data solutions: Build algorithms and tools that drive smarter pricing, promotion, and merchandising strategies. Cross-functional collaboration: Work closely with marketing, merchandising, and product … STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Experience with Python and SQL for data analysis, manipulation, and basic modelling. Understanding of machine learning: Exposure to predictive modelling techniques, particularly in Time Series Forecasting, NLP, or Recommendation Systems. Data visualisation: Familiarity with Tableau, Power BI, or similar tools. Strong analytical and communication skills: Able to More ❯

less typical, help us understand how your thinking has been shaped and why it stands up. What you'll be working on You'll be directly involved in: Developing predictive models to identify patterns in student behaviour and engagement, using real data from hundreds of thousands of students Refining student personas by analysing survey responses, behavioural data, and qualitative … and clearly communicating your methods and results, ensuring reproducibility and clarity This role is deeply analytical and technical, designed to rapidly build your practical skills in data science and predictive modelling within a real, high-impact environment Required Skills You'll be right for this role if: You have strong analytical skills, demonstrated by excellent academic results, research … projects, academic papers, or high placements in data science competitions You have practical experience with statistical modelling or machine learning techniques (regression analysis, clustering, classification, predictive modelling) through coursework, internships, or independent projects You are proficient in Python (especially pandas, numpy, scikit-learn, or similar libraries) and comfortable performing data analysis using Jupyter notebooks or similar tools More ❯

to support early childhood-focused programmes and innovations. - You will leverage AI platforms, frameworks and APIs . - You will productionise dashboards and web-based applications . - Apply machine learning , predictive modelling , and economic forecasting to extract insights. - You will comply to data governance policies and best practices to ensure data quality, documentation and compliance with regulations like GDPR. … data science projects. Experience with cloud-based data platforms (e.g.: AWS, Azure, GCP). Experience with using Git for version control. Strong understanding of statistical analysis, machine learning, and predictive modelling techniques. Proficiency in Python and SQL programming languages. Proficiency with at least one cloud-based ML platform, such as SageMaker, Vertex AI or Azure Machine Learning Studio. … DevOps practices and tools (e.g.: Git, Docker, Kubernetes). Familiarity with AI platforms and frameworks such as LangChain, Llamaindex and, HugginFace. Expertise in data manipulation, data visualisation, and statistical modelling libraries (e.g.: pandas, NumPy, Matplotlib, scikit-learn). Skills in data visualisation tools (e.g.: Tableau, PowerBI). Excellent problem-solving and analytical skills. Skills & attributes Passion for leveraging data More ❯

About the Role: Grade Level (for internal use): 12 Director, Revenue Impact Modelling & Performance Analytics The Team: Part of the Enterprise Marketing Strategy and Demand Generation Center of Excellence, this is a key role within the newly integrated Revenue Operations, Performance Analytics, and Martech pillar. As part of S&P Global's enterprise marketing transformation, this role ensures that … forecasted, visualized, and optimized. Responsibilities and Impact: Revenue Attribution & Impact Modeling: Design and operationalize attribution frameworks that connect marketing activity to pipeline and revenue across touchpoints. Build and maintain predictive models to forecast marketing-influenced revenue, campaign lift, and investment ROI. Partner with Sales Operations and Finance to validate impact models, align on assumptions, and reconcile with GTM definitions. … stakeholders. Work closely with the Marketing Data Visualization & Reporting lead to develop dashboards and visualization layers. Partner with Customer Data Intelligence and CDP/Target teams to align audience modelling with performance insight. Collaborate closely with the Marketing Data Enablement team to ensure clean, structured data pipelines and with Corporate Technology to align infrastructure, tooling, and integration strategies. Create More ❯

you'll do As a Senior Data Scientist at Nectar360 within Sainsbury's, you will be leading the technical development of algorithms and pipelines to support strategic goals, enhancing modelling and optimisation capabilities, and ensuring the delivery of impactful projects at pace. Your role will involve collaborating closely with Senior Engineers to align models with engineering best practises, becoming … innovative professional with a deep passion for leveraging data science to drive impactful business outcomes. With extensive experience in developing complex data science solutions and a strong foundation in predictive modelling, time series analysis, and cloud platforms, you possess the technical expertise to lead the development of algorithms and pipelines that support strategic goals. Your ability to mentor … quality, data-driven insights that influence decision-making and enhance commercial value. Proven experience developing complex data science solutionsusing Python and SQL in a commercial environment Demonstrable expertise in predictive modelling, clustering, and time series analysis, with knowledge of Multi-Touch Attribution and/or Marketing Mix Modelling is prreferred Hands-on experience with cloud platforms (AWS More ❯

and prioritization, P&L accountability, and leading cross-functional teams across Expedia Group, who are all held accountable to a single scorecard. Are you passionate about data, analytics and predictive modelling? Do you want to be at the forefront of a truly customer-centric organization. We are looking for a hardworking and intelligent individual to fill the Data … our stakeholders and help drive the expansion of forecast applications, spend allocation and scenario planning across the B2C organization. You will also have opportunities to research and develop new modelling techniques that incorporate business drivers as required. The successful individual will be able to work with minimal instruction and oversight, enjoy working on multiple tasks and projects at the … Python and SQL skills with demonstrated experience to structure, transform and analyze data, and a willingness to learn new frameworks and languages required for the task Prior experience in predictive modelling and developing forecast applications Display a true passion for data and analytics as well as possessing a strong commercial awareness. A high performing individual contributor who consistently More ❯

s Nectar360 team, you will play a crucial role in developing algorithms and pipelines to support strategic goals, particularly focusing on marketing measurement solutions. Your responsibilities will include enhancing modelling and optimisation capabilities, ensuring alignment with engineering best practises, and recommending advanced data science techniques. Collaborating with a diverse team of Data Scientists, Analysts, Engineers, and Product experts, you … and innovative professional with a passion for leveraging data science to drive impactful solutions in marketing performance measurement and client-facing data science initiatives. With a strong foundation in predictive modelling, statistical analysis, and machine learning, you excel in developing complex algorithms and pipelines to support strategic goals and enhance optimisation capabilities. Your advanced technical skills, commercial awareness … ready, user-facing solutions. Ability to work with complex codebases, including collaborative development practices and version control systems (e.g., Git). Solid experience and foundation in areas such as predictive modelling, clustering and time series analysis. Track record of delivering impactful data science projects, including defining goals with stakeholders and translating analytical outputs into business value. This role More ❯

analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such as customer lifetime value, predictive modelling, bidding optimisation, and experimentation, whilst also acting as a data lead for major clients. Initially hands-on, this role will evolve into a more strategic leadership position … team management responsibilities (starting with three Data Scientists, growing to five within a year) expected within the first six months. Key Responsibilities Lead and deliver data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and … algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A/B testing, causal inference, MMM Advanced analytics (e.g. marginal returns curves, supply-demand modelling) Strong More ❯

analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such as customer lifetime value, predictive modelling, bidding optimisation, and experimentation, whilst also acting as a data lead for major clients. Initially hands-on, this role will evolve into a more strategic leadership position … team management responsibilities (starting with three Data Scientists, growing to five within a year) expected within the first six months. Key Responsibilities Lead and deliver data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and … algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A/B testing, causal inference, MMM Advanced analytics (e.g. marginal returns curves, supply-demand modelling) Strong More ❯

analytics solutions that drive measurable business outcomes. Reporting directly to the Director of Data, you’ll take ownership of high-impact projects across areas such as customer lifetime value, predictive modelling, bidding optimisation, and experimentation, whilst also acting as a data lead for major clients. Initially hands-on, this role will evolve into a more strategic leadership position … team management responsibilities (starting with three Data Scientists, growing to five within a year) expected within the first six months. Key Responsibilities Lead and deliver data science solutions across predictive modelling, optimisation, and experimentation. Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results. Design and deploy machine learning models and … algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A/B testing, causal inference, MMM Advanced analytics (e.g. marginal returns curves, supply-demand modelling) Strong More ❯

high-impact work across paid media, measurement, and advanced analytics. They operate at the intersection of marketing and data science – with a track record of developing sophisticated experimentation and predictive modelling solutions for major UK brands. This isn’t short-term agency work — they partner closely with clients, often with direct access to raw data and a strong … seat at the strategy table. THE ROLE: As a Senior Data Scientist, you’ll play a key role in leading the delivery of analytics projects across experimentation and predictive modelling. You’ll work directly with clients, helping them answer complex marketing questions and improve performance using robust, data-led methods. This role comes with significant autonomy — you’ll lead … responsibilities include: Own end-to-end delivery of data science projects across marketing measurement and advanced analytics Design and implement experiments (incrementality, geo testing, brand lift, causal inference) Build predictive models (LTV, propensity, pricing) using Python and SQL in a cloud environment Translate complex outputs into clear, strategic recommendations for clients Contribute to internal R&D and shape best More ❯

high-impact work across paid media, measurement, and advanced analytics. They operate at the intersection of marketing and data science – with a track record of developing sophisticated experimentation and predictive modelling solutions for major UK brands. This isn’t short-term agency work — they partner closely with clients, often with direct access to raw data and a strong … seat at the strategy table. THE ROLE: As a Senior Data Scientist, you’ll play a key role in leading the delivery of analytics projects across experimentation and predictive modelling. You’ll work directly with clients, helping them answer complex marketing questions and improve performance using robust, data-led methods. This role comes with significant autonomy — you’ll lead … responsibilities include: Own end-to-end delivery of data science projects across marketing measurement and advanced analytics Design and implement experiments (incrementality, geo testing, brand lift, causal inference) Build predictive models (LTV, propensity, pricing) using Python and SQL in a cloud environment Translate complex outputs into clear, strategic recommendations for clients Contribute to internal R&D and shape best More ❯

strong analytical capability. Ability to investigate trading strategies through structured and established back testing methods, with guidance from traders. Working knowledge of core concepts and methods in computational statistics, predictive modelling, and machine learning. Effective teamwork and communication skills, and the ability to demonstrate their successful application. Strong interpersonal skills and professional maturity. Ability to demonstrate a learner … strong analytical capability. Ability to investigate trading strategies through structured and established back testing methods, with guidance from traders. Working knowledge of core concepts and methods in computational statistics, predictive modelling, and machine learning. Degree in quantitative subject (e.g. Science/Mathematics) Effective teamwork and communication skills, and the ability to demonstrate their successful application. Strong interpersonal skills More ❯

quality of our analytical models. The role will report to Data Science & Analytics Manager and will be based in the company headquarters in London. Key Responsibilities Analytics/Machine modelling: Manage a multi-location and in-house team to deliver high performance, motivate and lead on career development opportunities Ability to evangelize next-generation infrastructure in analytics space (batch … and communicating the performance of ML models (e.g., supervised models, such as gradient boosting, logistic regressions etc. and non-supervised approaches, including clustering) Advise product stakeholders on feature and modelling accuracy and potential iterations which may drive improved model reliability and accuracy. Develop a testing framework and test model quality Experience with deployment to production, using standard tools including … XGBoost, just to name a few) Foster new and innovative machine-learning techniques and approaches General: Passionate for continuous learning, experimenting, and applying open-source technologies within the machine modelling space Work closely with several data engineering and software engineering scrum teams to incorporate both new and enhancements to models to customer-facing applications Eager to assure quality by More ❯

Create dashboards and reports that communicate actionable insights to stakeholders. o Collaborate with IT and Data teams to improve data quality and accessibility. • Model Development: o Build and maintain predictive models using machine learning algorithms to identify fraudulent activities. o Test, evaluate, and fine-tune models to improve fraud detection accuracy and reduce false positives. o Document methodologies and More ❯

engineering, model design, training, and deployment. Perform data mining, exploration, and statistical analysis to uncover trends and actionable insights. Create data visualizations, reports, dashboards, and perform data audits. Leverage predictive models to optimize customer experiences and drive business outcomes. Create automated anomaly detection systems to monitor and ensure data quality and operational performance. Desired Requirements Bachelor's degree in More ❯

data analytics capabilities on the platform that enable processing, analysis, and visualization of geospatial and sensor data. Develop algorithms and tools for geospatial analysis, pattern recognition, anomaly detection, and predictive modeling using machine learning techniques. Real-Time Data Processing: Build real-time or near-real-time data processing systems to deliver actionable insights to end-users. Optimize data flows More ❯

data and analytics risk assessment company and a leading source of information about insurance risk. To serve our clients, we draw upon our vast experience in data management and predictive modelling to offer decision analytics to the insurance industry through underwriting to claims management in personal lines, commercial lines, and the London market. In underwriting we create sophisticated … products. The International Analytics Team is a dynamic and exciting place to work: our projects are extremely varied and include developing supervised machine learning models, unsupervisedclustering type models, language modelling, network analysis and a variety of other statistical analysis methods. The successful candidate(s) will be at an early stage in their career.You will have the opportunity to play … . Produce models using a variety of algorithms (GLM, GBM, Random Forest, Neural Networks etc.) and assess the relative strength of each model Identify which factors are relevant and predictive and should be included in the model build Document processes, code, implement version control, and create functions/template code so that your successes can be applied to new More ❯

processes and drive improvements in pension provision. You will work closely with business owners to identify opportunities to drive value from data and lead the development of advanced analytics & predictive modelling algorithms. You will be comfortable working independently and as part of small teams in dynamic projects across Just to develop predictive models, identify health and mortality More ❯

various sources to uncover insights and patterns. Collaborate with cross-functional teams to understand business objectives and translate them into new data products Perform data mining, statistical analysis, and predictive modelling to drive business decisions. Build data architecture and pipelines to support data products Build predictive models for various business applications (e.g., Research Pricing, recommendation systems). More ❯

you will use and extend a broad set of data science and software skills. Help build and improve the algorithms in scalable manner for AI-based anomaly detection and predictive modelling Apply and sometimes (co-)invent and implement AI/ML algorithms for processing various types of data (timeseries, tabular etc) Development of computer models and doing predictive … Interface with various data sources over various connector pipelines (SQL, Elasticsearch, Kafka, REST APIs, ) Tune algorithms and data pipelines for optimal performance Train, tune and deploy anomaly detection and predictive models on industrial or IoT data Knack/experience of consultancy services Qualifications : Previous hands-on experience in Data Science, delivering machine learning models to production Bachelor's or More ❯

to build algorithms and workflows that enhance client service. Proactively identify opportunities for Quantitative Research to leverage data and analytics to enhance the Sales business. Innovate and evolve core predictive models using diligent data analysis, traditional statistical reasoning, and advanced AI/ML techniques. Architect and manage the evolution of the code base, ensuring data quality and integrity, and More ❯

helping the business make smarter, data-driven decisions at scale. Key Responsibilities Lead customer-centric analytics projects across retention, segmentation, churn prediction, product usage, and personalization Build and maintain predictive models (e.g. churn, CLV, next-best action, recommendation systems) and translate insights into business value Conduct deep-dive analyses into customer journeys, identifying behavioral trends and opportunities for intervention More ❯

to build algorithms and workflows that enhance client service. Proactively identify opportunities for Quantitative Research to leverage data and analytics to enhance the Sales business. Innovate and evolve core predictive models using diligent data analysis, traditional statistical reasoning, and advanced AI/ML techniques. Architect and manage the evolution of the code base, ensuring data quality and integrity, and More ❯

helping the business make smarter, data-driven decisions at scale. Key Responsibilities Lead customer-centric analytics projects across retention, segmentation, churn prediction, product usage, and personalization Build and maintain predictive models (e.g. churn, CLV, next-best action, recommendation systems) and translate insights into business value Conduct deep-dive analyses into customer journeys, identifying behavioral trends and opportunities for intervention More ❯