26 to 50 of 107 Predictive Modelling Jobs in London

Following a recent restructure, the data function is entering an exciting phase of growth and investment, focused on delivering a cutting-edge data platform and embedding advanced analytics and predictive capabilities throughout the organisation. THE TEAM You'll lead a growing central data and analytics function, currently a small but capable team of engineers and analysts, with headcount expansion … planned over the next year. The team manages the full data lifecycle - from ingestion and governance through to reporting and predictive modelling, supporting departments across the organisation, including finance, digital, marketing, and operations. It's a collaborative environment that values innovation, technical credibility, and strong stakeholder relationships. THE ROLE As Head of Data & Analytics, you'll take ownership … ensuring best practice across all data activities. Lead on reporting and insight standardisation through tools such as Power BI and Omni, ensuring a consistent view of business performance. Drive predictive analytics and machine learning initiatives, including customer lifetime value and propensity modelling. Collaborate cross-functionally with commercial, finance, and digital teams to ensure insights translate into measurable business outcomes. More ❯

and Python skills Experience with data visualisation tools (Power BI preferred, but flexible) Proven background in analytics or data science, ideally in a commercial or operational context Exposure to predictive modelling, segmentation, or pricing analytics Ability to work independently and communicate insights clearly to non-technical stakeholders WHY APPLY? Play a central role in shaping analytics for one More ❯

and Python skills Experience with data visualisation tools (Power BI preferred, but flexible) Proven background in analytics or data science, ideally in a commercial or operational context Exposure to predictive modelling, segmentation, or pricing analytics Ability to work independently and communicate insights clearly to non-technical stakeholders WHY APPLY? Play a central role in shaping analytics for one More ❯

and Python skills Experience with data visualisation tools (Power BI preferred, but flexible) Proven background in analytics or data science, ideally in a commercial or operational context Exposure to predictive modelling, segmentation, or pricing analytics Ability to work independently and communicate insights clearly to non-technical stakeholders WHY APPLY? Play a central role in shaping analytics for one More ❯

and Python skills Experience with data visualisation tools (Power BI preferred, but flexible) Proven background in analytics or data science, ideally in a commercial or operational context Exposure to predictive modelling, segmentation, or pricing analytics Ability to work independently and communicate insights clearly to non-technical stakeholders WHY APPLY? Play a central role in shaping analytics for one More ❯

practices in security, lineage, and compliance (GDPR and financial regulations). Collaborate with cross-functional teams to translate business needs into scalable, data-driven solutions. Support innovation in analytics, predictive modelling, and AI initiatives. What You’ll Bring Essential Skills: Strong experience with SQL and Python for data transformation and automation. Proven track record building and optimising ETL … as Matillion, Talend, FiveTran, or Azure Data Factory . Hands-on experience designing and managing Snowflake data platforms (AWS, Azure, or GCP experience desirable). Solid understanding of data modelling and performance optimisation. Knowledge of data governance, compliance, and security frameworks. Desirable Skills: Familiarity with orchestration tools like Airflow, dbt, or Prefect . Experience with CI/CD and More ❯

to deliver actionable insights across the network of charging points Analyse customer behaviour, usage patterns, and operational data to inform strategy and growth Build statistical models for segmentation, regression, predictive modelling, and forecasting Support pricing and revenue optimisation initiatives, including dynamic pricing strategies Query and process large datasets coming from multiple real-time sources Translate complex analysis into More ❯

and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn Evaluate and optimise all models, identifying areas for development Work end-to-end both building and deploying models More ❯

and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models to anticipate/avoid asset downtime and reducing customer churn Evaluate and optimise all models, identifying areas for development Work end-to-end both building and deploying models More ❯

pharmaceuticals.* Collaborate with data scientists, data engineers, and business analysts to build scalable AI models for research, development, and commercial operations.* Develop, test, and optimise machine learning algorithms and predictive models relevant to pharmaceutical data.* Integrate AI models with existing data pipelines, laboratory systems, and business applications.* Ensure the reliability, scalability, and performance of AI systems across multiple platforms. More ❯

mining, parallel and distributed computing, high-performance computing PREFERRED QUALIFICATIONS - A PhD in Computer Science, Machine Learning, Statistics, Operations Research or relevant field - 10+ years of industry experience in predictive modeling and analysis as a scientist or science manager - Experience in managing managers - Machine Learning breadth and depth - Ability to think creatively and solve complex business and technical problems More ❯

developers + others. What sets our client apart is their ability to combine: Domain expertise in water and wastewater operations Manufacturing Systems Technology leadership in SaaS, data analytics, and predictive modeling Customer focus - building solutions that reduce OPEX, improve regulatory outcomes, and empower operators with actionable insights By bridging the gap between utilities, regulators, and communities, our client is More ❯

project delivery, timelines, and stakeholder communications. Translate complex business challenges into analytical frameworks and actionable insights using data from multiple sources. Conduct advanced quantitative analyses (e.g., marketing attribution, segmentation, predictive modeling) to uncover business drivers and inform strategy. Present findings and recommendations to senior client stakeholders in a clear, compelling narrative that drives decision-making. Collaborate cross-functionally with More ❯

Contract Opportunity: Lead Data Scientist (Image-Based Predictive Modelling) Location: London/Hybrid/Remote Day Rate: Up to £600/day (Inside or Outside IR35) Contract Length: Initial 5 weeks (very strong extension potential) Start Date: Within 1-2 weeks Industry: Financial Services (Marketing Analytics Project) Interview Slots Available This Week - Fast Turnaround About the Company Join … Your goal: build and deploy a model that forecasts click-through rates and explains why certain images drive better performance. What You'll Be Doing Build and refine a predictive model using image data & historical engagement metrics? Identify which image characteristics (colour, objects, themes) influence customer behaviour? Implement explainability (e.g. SHAP, feature importance)? Build a simple internal UI (Dash … guide technical decision-making internally? Enable deployment teams to operationalise your solution What Success Looks Like By the end of the initial engagement you will have delivered:- A working predictive model- Clear explainability on what drives user clicks- A functional internal tool for non-technical stakeholders- Documentation and guidance for productionisation Required Skills Must-Have: Expert-level Python (Pandas More ❯

Own the business data platform ( GCP ) - integrating multiple data sources across the organisation Oversee data governance and compliance frameworks Champion standardised, accessible reporting via Power BI and Omni Deliver predictive modelling and machine learning projects (e.g. CLV, propensity scoring) Partner with digital, finance, and operations teams to embed data into decision-making Support and drive key strategic projects … ll Bring Proven leadership in data and analytics roles, with a commercial focus Strong stakeholder management and cross-functional influencing skills Hands-on experience with data architecture, governance, and predictive analytics Ability to translate data into actionable insights that drive business value Experience building or scaling a data function Package £120,000 base salary Private healthcare Free daily lunch More ❯

role in their data-driven journey, working across customer, marketing, commercial, geospatial, and operations datasets to uncover insights that matter. What you’ll do: Lead advanced analytics projects, including modelling, forecasting, and deep-dive insights Translate complex data into actionable recommendations for business leaders Work across diverse datasets – from customer journeys to operational performance and geospatial intelligence Partner with … driven sustainability strategies Drive innovation in how we use analytics to achieve commercial and environmental impact Experience required: Strong experience in SQL and Python for data manipulation, analysis, and modelling Proven background in advanced analytics, forecasting, or predictive modelling Ability to connect data with business strategy, delivering clear and actionable insights Experience with commercial, marketing, or operational More ❯

role in their data-driven journey, working across customer, marketing, commercial, geospatial, and operations datasets to uncover insights that matter. What you’ll do: Lead advanced analytics projects, including modelling, forecasting, and deep-dive insights Translate complex data into actionable recommendations for business leaders Work across diverse datasets – from customer journeys to operational performance and geospatial intelligence Partner with … driven sustainability strategies Drive innovation in how we use analytics to achieve commercial and environmental impact Experience required: Strong experience in SQL and Python for data manipulation, analysis, and modelling Proven background in advanced analytics, forecasting, or predictive modelling Ability to connect data with business strategy, delivering clear and actionable insights Experience with commercial, marketing, or operational More ❯

role in their data-driven journey, working across customer, marketing, commercial, geospatial, and operations datasets to uncover insights that matter. What you’ll do: Lead advanced analytics projects, including modelling, forecasting, and deep-dive insights Translate complex data into actionable recommendations for business leaders Work across diverse datasets – from customer journeys to operational performance and geospatial intelligence Partner with … driven sustainability strategies Drive innovation in how we use analytics to achieve commercial and environmental impact Experience required: Strong experience in SQL and Python for data manipulation, analysis, and modelling Proven background in advanced analytics, forecasting, or predictive modelling Ability to connect data with business strategy, delivering clear and actionable insights Experience with commercial, marketing, or operational More ❯

role in their data-driven journey, working across customer, marketing, commercial, geospatial, and operations datasets to uncover insights that matter. What you’ll do: Lead advanced analytics projects, including modelling, forecasting, and deep-dive insights Translate complex data into actionable recommendations for business leaders Work across diverse datasets – from customer journeys to operational performance and geospatial intelligence Partner with … driven sustainability strategies Drive innovation in how we use analytics to achieve commercial and environmental impact Experience required: Strong experience in SQL and Python for data manipulation, analysis, and modelling Proven background in advanced analytics, forecasting, or predictive modelling Ability to connect data with business strategy, delivering clear and actionable insights Experience with commercial, marketing, or operational More ❯

retail company is looking for a talented senior insight analyst to join their customer analytics team. The role will focus on advanced analytics such as customer segmentation, profiling and predictive modelling and in turn, providing easily understood actionable insight for a variety of stakeholders using SQL, R and Python. Duties and Responsibilities Investigating, interpreting and understanding complex unstructured More ❯

projects will cover a broad range of topics, from working with engineers to implement event tracking on our platforms, all the way to generating data insights and sometimes building predictive models, ultimately helping our Product organisation deliver great products, which solve meaningful user problems. You and your team are part of a larger Product Analytics group, and will be More ❯

analysis and data mining strategies, extracting valuable insights from diverse data sources. Harnessing the power of natural language processing (NLP) techniques to extract pertinent information from textual data. Formulating predictive models to anticipate future trends, enabling informed decision-making. Constructing automated ML workflows and integrating CI/CD practices to ensure seamless model deployment and recurrent refinement. Architecting, deploying More ❯

SME for infrastructure design , governance, and compliance frameworks. Oversee reporting and insights across Power BI and Omni (a modern BI tool similar to Looker), defining and standardising KPIs. Drive predictive analytics and machine learning initiatives, such as customer lifetime value and propensity modelling. Partner cross-functionally to support commercial teams - hospitality, retail, fan engagement, digital, and finance. Key projects … on the roadmap Finance ERP system integration Fan data enhancement via CDP Club-wide reporting rollout Predictive modelling and segmentation F&B and digital journey optimisation Tech environment GCP - data warehouse and pipelines Power BI/Omni - visualisation and exploration SQL, Python, DBT, Docker Exposure to web & app event tracking and modern data tooling About you Proven leadership More ❯

future, not maintain the past. They are looking for a passionate and experienced Senior Data Scientist/Manager to lead personalization efforts within their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural More ❯

future, not maintain the past. They are looking for a passionate and experienced Senior Data Scientist/Manager to lead personalization efforts within their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural More ❯