51 to 75 of 208 Predictive Modelling Jobs in England

the design and deployment of scalable ML/AI capabilities on top of the data infrastructure to enhance our applications and business processes. - Deliver high-impact initiatives such as predictive modeling, advanced analytics, and intelligent automation. - Collaborate with Product and Engineering to embed ML/AI into core application features and workflows. - Establish success metrics and a governance model More ❯

free of the normal and develop real innovation to the Insurance Industry! The Senior Data Scientist will assist in the identification and creation of cutting-edge data assets and predictive models that feed into Hastings' market-leading pricing activities. This role is within a challenger product with a team comprising Data Scientists/Modellers as well as Analysts all More ❯

design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing and BI principles … Skilled in data modelling, database design, and transformation processes Confident communicator with strong stakeholder engagement skills Agile delivery experience preferred Benefits: Hybrid working model – monthly onsite collaboration at a modern office in the Berkshire area Comprehensive benefits including healthcare, pension, life assurance, and income protection More ❯

term HR process, employee experience, and solution strategies that enable Swiss Re's business objectives Data Analytics Excellence - Lead the People Analytics team in developing comprehensive analytics strategies, building predictive models, and creating advanced reporting capabilities that drive organizational insights and strategic decision-making Innovation Leadership - Drive partnerships between HR COEs and Group Digital and Technology to optimize HR … processes, including strategy development, service delivery, human capital management technologies, with ability to translate business needs into technology requirements Advanced expertise in people analytics, data visualization, statistical analysis, and predictive modelling for workforce insights, with experience leading HR data analytics teams and building capabilities within HR functions Experience working with enterprise HRIS platforms (Workday, SAP SuccessFactors, Oracle HCM More ❯

with IT to ensure data quality and integrity across Microsoft Fabric environments.- Document and manage data models, analysis logic, and reports to support repeatable, scalable insight generation.- Contribute to predictive modelling projects focused on personalising learning journeys and improving learner retention. Skills & Experience Essential:- Strong SQL skills for data extraction and transformation.- Proficiency with Power BI for reporting More ❯

with IT to ensure data quality and integrity across Microsoft Fabric environments. - Document and manage data models, analysis logic, and reports to support repeatable, scalable insight generation. - Contribute to predictive modelling projects focused on personalising learning journeys and improving learner retention. Skills & Experience Essential: - Strong SQL skills for data extraction and transformation. - Proficiency with Power BI for reporting 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 ❯

deployed strategies, refining them based on performance insights Key Responsibilities: Collaborate with researchers, traders, and developers to create and deploy innovative trading strategies Apply advanced data analysis to build predictive models and portfolio optimisation frameworks Analyse production performance, defining metrics to guide the research cycle Contribute to multi-asset portfolio construction Requirements: Minimum 2 years’ experience working on quantitative More ❯

deployed strategies, refining them based on performance insights Key Responsibilities: Collaborate with researchers, traders, and developers to create and deploy innovative trading strategies Apply advanced data analysis to build predictive models and portfolio optimisation frameworks Analyse production performance, defining metrics to guide the research cycle Contribute to multi-asset portfolio construction Requirements: Minimum 2 years’ experience working on quantitative More ❯

London office. This is a unique opportunity to work alongside world-class traders, technologists, and researchers to develop cutting-edge machine learning strategies. Responsibilities: Conduct advanced research to develop predictive models and high-frequency trading strategies. Apply statistical analysis, machine learning techniques, and mathematical modeling to large, complex datasets. Collaborate closely with trading and technology teams to implement and More ❯

to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Senior Manager, Data Analytics & Data Modelling! In this role, we are looking for an experienced and results-driven Senior Manager – Data Analytics & Science to lead high-impact data initiatives across our organization. The ideal candidate … will have a strong foundation in data analytics, data science, and data modelling, as well as proven experience in building data models and managing data dictionaries and data lineage. This role also requires the ability to work strategically, collaborating with business stakeholders to deliver data-driven insights that influence key decisions. Responsibilities Lead and manage a team of data … strategic data projects , ensuring alignment with business goals. Provide thought leadership on data science methodologies and analytics best practices. Translate business requirements into technical solutions through advanced analytics and predictive modeling. Drive adoption of data-driven culture across the organization by delivering actionable insights and engaging storytelling through data visualizations. Manage data assets, ensuring proper documentation, security, and accessibility. More ❯

to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Senior Manager, Data Analytics & Data Modelling! In this role, we are looking for an experienced and results-driven Senior Manager – Data Analytics & Science to lead high-impact data initiatives across our organization. The ideal candidate … will have a strong foundation in data analytics, data science, and data modelling, as well as proven experience in building data models and managing data dictionaries and data lineage. This role also requires the ability to work strategically, collaborating with business stakeholders to deliver data-driven insights that influence key decisions. Responsibilities Lead and manage a team of data … strategic data projects , ensuring alignment with business goals. Provide thought leadership on data science methodologies and analytics best practices. Translate business requirements into technical solutions through advanced analytics and predictive modeling. Drive adoption of data-driven culture across the organization by delivering actionable insights and engaging storytelling through data visualizations. Manage data assets, ensuring proper documentation, security, and accessibility. More ❯

Senior Data Scientist to join a mission-driven team building data-driven solutions that improve outcomes in the healthcare sector. In this role, you’ll design, build, and deploy predictive models that harness real-world behavioural data to drive impactful insights. This is a hands-on role ideal for someone who thrives in a collaborative, fast-paced environment and … scale. You’ll work closely with cross-functional teams to operationalize models, support product development, and contribute to a modern MLOps pipeline. What You’ll Do Develop and deploy predictive models using behavioural and real-world data Translate complex datasets into actionable insights that improve healthcare outcomes Contribute to the full ML lifecycle, from data wrangling and feature engineering … into production systems via scalable pipelines Champion best practices in MLOps, including CI/CD for ML, model versioning, testing, and monitoring Design experiments (A/B testing, uplift modelling) to measure impact and optimize performance What We’re Looking For PhD background in a relevant field Proven commercial in data science, with a strong foundation in predictive More ❯

Senior Data Scientist to join a mission-driven team building data-driven solutions that improve outcomes in the healthcare sector. In this role, you’ll design, build, and deploy predictive models that harness real-world behavioural data to drive impactful insights. This is a hands-on role ideal for someone who thrives in a collaborative, fast-paced environment and … scale. You’ll work closely with cross-functional teams to operationalize models, support product development, and contribute to a modern MLOps pipeline. What You’ll Do Develop and deploy predictive models using behavioural and real-world data Translate complex datasets into actionable insights that improve healthcare outcomes Contribute to the full ML lifecycle, from data wrangling and feature engineering … into production systems via scalable pipelines Champion best practices in MLOps, including CI/CD for ML, model versioning, testing, and monitoring Design experiments (A/B testing, uplift modelling) to measure impact and optimize performance What We’re Looking For PhD background in a relevant field Proven commercial in data science, with a strong foundation in predictive More ❯

of all forecast models. What we're looking for: Solid academic background in Statistics, Mathematics, Economics, Data Science, or a related discipline A number of years experience in Risk Modelling, Credit Risk, Risk Management Proficiency in statistical tools, preferably Python or R Practical exposure to machine learning, predictive modelling, and advanced analytics techniques Industry experience in Automotive More ❯

of all forecast models. What we're looking for: Solid academic background in Statistics, Mathematics, Economics, Data Science, or a related discipline A number of years experience in Risk Modelling, Credit Risk, Risk Management Proficiency in statistical tools, preferably Python or R Practical exposure to machine learning, predictive modelling, and advanced analytics techniques Industry experience in Automotive More ❯

HR metrics and key performance indicators (KPIs). * Develop and maintain HR dashboards, reports, and visualizations to effectively communicate HR data and insights to stakeholders. * Conduct statistical analyses and predictive modelling to support HR initiatives and identify potential risks or opportunities. * Collaborate with HR stakeholders to understand data requirements and develop customized reports and analytics to meet their More ❯

including solution overviews, technical narratives, architecture diagrams, and estimates. Contribute to bid strategy, win themes, and differentiators based on the latest AI technologies (e.g. GenAI, LLMs, computer vision, NLP, predictive modelling). 4. Prototype and Demonstrate Build proof-of-concepts (PoCs) or demos to validate solution approaches and inspire client confidence. Showcase AI capabilities using relevant tools (e.g. More ❯

all data assets. Collaborate with C-suite and business leaders to identify high-impact opportunities for data-driven decision making and process optimisation. Drive the development and deployment of predictive models, customer segmentation, churn analysis, and network optimisation projects tailored to the telecoms sector. Monitor key performance indicators (KPIs) and measure the business impact of analytics initiatives, focusing on More ❯

insight and drive impactful business decisions. Your Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance … Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to More ❯

insight and drive impactful business decisions. Your Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance … Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to More ❯

will be central to evaluating market dynamics, predicting performance outcomes, and supporting strategic decisions that drive client growth and innovation. You will work at the intersection of analytics, economic modelling, and creative strategy-turning data into commercially valuable insights that guide investment, pricing, targeting, and distribution decisions across entertainment and cultural projects. Key Responsibilities Build and maintain forecasting models … strategic, and technical teams to provide commercially relevant recommendations. Translate technical data into clear, actionable insights for internal teams and clients. Keep up to date with market trends, economic modelling tools, and analytical best practices. Contribute to client proposals, reports, and innovation initiatives Required Experience & Skills Minimum 3 years' experience in forecasting, commercial strategy, or business analysis (media/… entertainment or consultancy preferred). Strong knowledge of econometric and predictive modelling techniques. Proficiency with tools such as Excel, R, Python, or SQL, plus BI platforms (e.g., Tableau, Power BI). Proven ability to integrate inputs from multiple data disciplines into coherent narratives. Excellent communication skills, with the ability to explain complex models to non-specialists as this More ❯

healthcare strategies. The Role As a Senior Data Scientist, you will be a key technical leader on their core data products. Your primary focus will be building and deploying predictive machine learning models using large-scale, complex datasets — including consumer data, survey data, and extensive geospatial information. You will take ownership not only of modeling and metric development but … ML Engineer Exposure to behavioral or consumer data is essential, preferably in the Healthcare space Strong Python skills and experience with Databricks or similar platforms Proven track record in predictive modelling with messy, real-world datasets (survey, geospatial, or similar) Hands-on experience with MLOps tools and practices (e.g., MLFlow) and deploying models in cloud environments (GCP, AWS More ❯

healthcare strategies. The Role As a Senior Data Scientist, you will be a key technical leader on their core data products. Your primary focus will be building and deploying predictive machine learning models using large-scale, complex datasets — including consumer data, survey data, and extensive geospatial information. You will take ownership not only of modeling and metric development but … ML Engineer Exposure to behavioral or consumer data is essential, preferably in the Healthcare space Strong Python skills and experience with Databricks or similar platforms Proven track record in predictive modelling with messy, real-world datasets (survey, geospatial, or similar) Hands-on experience with MLOps tools and practices (e.g., MLFlow) and deploying models in cloud environments (GCP, AWS More ❯