1 to 25 of 43 Remote Predictive Modelling Jobs in London

teams to build scalable systems, maintain robust data pipelines, and integrate machine learning models into real-world applications that make a measurable impact. Key Responsibilities: Apply machine learning and predictive modelling to optimise player development, grassroots participation, and tournament planning Perform clustering and statistical analysis on historical performance data to identify tactical and developmental insights Develop computer vision … Python and R Microsoft Fabric, Azure Synapse, SQL Power BI, matplotlib, Plotly Azure (RBAC, AAD, Blob Storage); experience with AWS or GCP is also valued Strong foundation in statistics, modelling, and data wrangling Scikit-learn, TensorFlow, PyTorch Soft Skills: Ability to translate business problems into analytical solutions Confident communicator capable of presenting insights to non-technical stakeholders Effective team 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 ❯

evaluate machine learning and deep learning models for production environments 🛠 Develop and optimise end-to-end ML pipelines — from data preparation to model deployment 📊 Experiment with advanced generative and predictive models , including diffusion, autoregressive, and transformer-based architectures 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable systems 💡 Contribute to research and experimentation around model More ❯

evaluate machine learning and deep learning models for production environments 🛠 Develop and optimise end-to-end ML pipelines — from data preparation to model deployment 📊 Experiment with advanced generative and predictive models , including diffusion, autoregressive, and transformer-based architectures 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable systems 💡 Contribute to research and experimentation around model More ❯

evaluate machine learning and deep learning models for production environments 🛠 Develop and optimise end-to-end ML pipelines — from data preparation to model deployment 📊 Experiment with advanced generative and predictive models , including diffusion, autoregressive, and transformer-based architectures 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable systems 💡 Contribute to research and experimentation around model More ❯

evaluate machine learning and deep learning models for production environments 🛠 Develop and optimise end-to-end ML pipelines — from data preparation to model deployment 📊 Experiment with advanced generative and predictive models , including diffusion, autoregressive, and transformer-based architectures 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable systems 💡 Contribute to research and experimentation around model More ❯

a skilled Data Scientist to join our dynamic team on a contract basis. You will work closely with cross-functional teams to extract actionable insights from complex datasets, build predictive models, and support data-driven decision-making. This is a hybrid role, offering flexibility while being actively involved in the London office. Key Responsibilities Analyze large, structured and unstructured … datasets to identify patterns and trends. Develop, validate, and deploy predictive models using machine learning and statistical techniques. Translate business requirements into technical solutions and actionable insights. Collaborate with business stakeholders, data engineers, and analysts to support analytics initiatives. Create dashboards, reports, and visualizations to communicate insights to non-technical stakeholders. Ensure data quality, integrity, and security throughout the … role. Strong programming skills in Python, R, or SQL . Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch . Solid understanding of statistics, predictive modeling, and data mining techniques. Experience with data visualization tools such as Tableau, Power BI, or matplotlib/seaborn . Familiarity with cloud platforms (AWS, Azure, GCP) is a 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Develop and implement data science strategies to support organisational objectives. Collaborate with cross-functional teams to identify and solve complex data challenges. Oversee the design, development, and deployment of predictive models and algorithms. Ensure compliance with data governance and ethical guidelines in all analytics activities. Provide mentorship and professional development opportunities for team members. Communicate findings and actionable insights … Profile A successful Head of Data Science should have: Proven experience in data science and analytics, ideally within the public sector or regulatory body. A strong background in statistical modelling, machine learning, and data visualisation tools Expert use of standard statistical tools e.g. R/Python and relevant associated libraries Deep expertise in building and maintaining AI and machine More ❯