26 to 50 of 148 Predictive Modelling Jobs in England

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 ❯

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 ❯

deliver impactful analytics solutions using Power BI and Azure Analysis Services. Lead a team of analytics professionals, mentoring and setting best practices. Introduce machine learning and AI to support predictive insights. Collaborate with stakeholders to drive data-informed decisions across the organisation. What Youll Bring Proven experience in analytics, BI, or data science with both hands-on technical delivery … and leadership responsibilities. Expertise in Power BI, SQL, and semantic modelling. Experience applying ML/AI techniques (e.g., predictive modelling, NLP) to real-world problems. Excellent communication skills and a passion for mentoring. A degree in a relevant field or equivalent experience; Relevant certifications in Power BI, Azure, or data science are a plus. What We Offer More 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 ❯

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 ❯

from a major bank but the feel of fintech innovation. Responsibilities: Advise business leaders on data-driven strategic decisions. Improve corporate client and individual customer outcomes. Develop and maintain predictive models using data science and machine learning. Build models for customer lifetime value and other key metrics. Continuously refine analytics through iterative improvements. Deploy models into production to enable More ❯

from a major bank but the feel of fintech innovation. Responsibilities: Advise business leaders on data-driven strategic decisions. Improve corporate client and individual customer outcomes. Develop and maintain predictive models using data science and machine learning. Build models for customer lifetime value and other key metrics. Continuously refine analytics through iterative improvements. Deploy models into production to enable 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 ❯

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 ❯

translate business logic into analytics. Excellent communication skills – you can clearly explain data to both technical and non-technical audiences. Proven ability to apply statistics, exploratory data analysis, and predictive modelling. Experience with ERP systems or large-scale data migrations is a plus but not essential. Background in e-commerce or service operations would be advantageous. What You Will More ❯

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 ❯

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 ❯

to quality control practices, ensuring data processes meet compliance standards and drive continuous improvement. Research & Evaluation - Work alongside Data Scientists and Psychometricians to understand statistical methods and help build predictive models. Support research projects using both quantitative and qualitative data to generate meaningful findings. Training Progress to a full time career Apprenticeship Standard Data technician (level 3) Training Provider 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 ❯

successfully complete this, and you’ll move on to a degree apprenticeship, deepening your skills while growing your career. Role SQL and advanced data joins (yes, the fun kind) Predictive modelling & forecasting (basically, time travel with stats) Data visualisation & storytelling (making numbers talk) Analytics lifecycles & data democratisation Statistical programming languages Building data products people actually use Training You … ll master: SQL, Python and other stats superpowers Visualisation that makes people go “ohhh, now I get it” Forecasting and modelling AI literacy and applied analytics Turning complexity into clarity Apprenticeship Standard Data analyst (level 4) Training Provider BPP PROFESSIONAL EDUCATION LIMITED Working Week Monday - Friday, shifts to be confirmed. Expected Duration 5 Years Positions Available 4 Closing Date More ❯

successfully complete this, and you’ll move on to a degree apprenticeship, deepening your skills while growing your career Role SQL and advanced data joins (yes, the fun kind) Predictive modelling & forecasting (basically, time travel with stats) Data visualisation & storytelling (making numbers talk) Analytics lifecycles & data democratisation Statistical programming languages Building data products people actually use Training You … ll master: SQL, Python and other stats superpowers Visualisation that makes people go “oh, now I get it” Forecasting and modelling AI literacy and applied analytics Turning complexity into clarity Apprenticeship Standard Data analyst (level 4) Training Provider BPP PROFESSIONAL EDUCATION LIMITED Working Week Monday - Friday, shifts to be confirmed. Expected Duration 5 Years Positions Available 3 Closing Date 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 ❯