51 to 75 of 249 Predictive Modelling Jobs in the UK

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 ❯

edge betting products. Key Responsibilities Build and optimise data pipelines and ETL workflows in AWS using Python and SQL. Partner with analysts and quants to deliver reliable datasets for predictive modelling and pricing. Design and maintain data models supporting trading, risk, and customer behaviour analytics. Develop Power BI dashboards to provide insights across trading and product teams. Ensure … tools (S3, Glue, Lambda, Redshift, Kinesis, etc.). Proficiency with Power BI (or equivalent data visualisation tools). Solid experience building and supporting data models for forecasting, pricing, or predictive analytics. Strong communication and stakeholder management skills. Why join? Be part of a fast-growing sports betting business shaping the future of data-driven gaming. Direct exposure to modelling … data tools. Competitive salary, strong bonus potential, and career progression. A collaborative, high-performance culture at the intersection of data and sports. If you’re a Data Engineer with modelling expertise who’s passionate about data, sport, and innovation, we’d love to hear from you. More ❯

edge betting products. Key Responsibilities Build and optimise data pipelines and ETL workflows in AWS using Python and SQL. Partner with analysts and quants to deliver reliable datasets for predictive modelling and pricing. Design and maintain data models supporting trading, risk, and customer behaviour analytics. Develop Power BI dashboards to provide insights across trading and product teams. Ensure … tools (S3, Glue, Lambda, Redshift, Kinesis, etc.). Proficiency with Power BI (or equivalent data visualisation tools). Solid experience building and supporting data models for forecasting, pricing, or predictive analytics. Strong communication and stakeholder management skills. Why join? Be part of a fast-growing sports betting business shaping the future of data-driven gaming. Direct exposure to modelling … data tools. Competitive salary, strong bonus potential, and career progression. A collaborative, high-performance culture at the intersection of data and sports. If you’re a Data Engineer with modelling expertise who’s passionate about data, sport, and innovation, we’d love to hear from you. More ❯

edge betting products. Key Responsibilities Build and optimise data pipelines and ETL workflows in AWS using Python and SQL. Partner with analysts and quants to deliver reliable datasets for predictive modelling and pricing. Design and maintain data models supporting trading, risk, and customer behaviour analytics. Develop Power BI dashboards to provide insights across trading and product teams. Ensure … tools (S3, Glue, Lambda, Redshift, Kinesis, etc.). Proficiency with Power BI (or equivalent data visualisation tools). Solid experience building and supporting data models for forecasting, pricing, or predictive analytics. Strong communication and stakeholder management skills. Why join? Be part of a fast-growing sports betting business shaping the future of data-driven gaming. Direct exposure to modelling … data tools. Competitive salary, strong bonus potential, and career progression. A collaborative, high-performance culture at the intersection of data and sports. If you’re a Data Engineer with modelling expertise who’s passionate about data, sport, and innovation, we’d love to hear from you. More ❯

edge betting products. Key Responsibilities Build and optimise data pipelines and ETL workflows in AWS using Python and SQL. Partner with analysts and quants to deliver reliable datasets for predictive modelling and pricing. Design and maintain data models supporting trading, risk, and customer behaviour analytics. Develop Power BI dashboards to provide insights across trading and product teams. Ensure … tools (S3, Glue, Lambda, Redshift, Kinesis, etc.). Proficiency with Power BI (or equivalent data visualisation tools). Solid experience building and supporting data models for forecasting, pricing, or predictive analytics. Strong communication and stakeholder management skills. Why join? Be part of a fast-growing sports betting business shaping the future of data-driven gaming. Direct exposure to modelling … data tools. Competitive salary, strong bonus potential, and career progression. A collaborative, high-performance culture at the intersection of data and sports. If you’re a Data Engineer with modelling expertise who’s passionate about data, sport, and innovation, we’d love to hear from you. More ❯

programming languages such as Python, R, or Java. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of data analysis, statistical methods, and predictive modelling. Excellent problem-solving skills and attention to detail. Effective communication and collaboration abilities. Preferred Skills (desirable but not essential): Familiarity with race strategy optimization and vehicle dynamics. Knowledge More ❯

programming languages such as Python, R, or Java. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of data analysis, statistical methods, and predictive modelling. Excellent problem-solving skills and attention to detail. Effective communication and collaboration abilities. Preferred Skills (desirable but not essential): Familiarity with race strategy optimization and vehicle dynamics. Knowledge More ❯

need to roll up your sleeves, partner with business leaders, and deliver solutions that make a measurable difference. We require hands-on experience building and maintaining ML/AI predictive models. You'll need to evidence previous advanced predictive modelling or end-to-end ownership of said models. We're specifically looking for someone experienced with the … full lifecycle of data science projects and advanced modelling (ML/AI) - not just analysis, dashboards, or oversight. This is about leading your own projects, driving outcomes, and being accountable for real commercial impact. Location: Nottingham (4 days per week in office) Salary: £55,000 - £65,000 (DOE) Why This Role Matters Your work will shape how the business … driving a step change in efficiency and results. Now it's your turn. You'll work with senior stakeholders, dig into business pain points, pitch smart solutions, and deliver predictive models that directly influence decisions across the company. What We're Looking For Proven impact - you've taken models into production and seen them deliver real results. Autonomous leadership More ❯

with the CIO and senior leadership team to define where and how data can deliver the most value. You’ll help the organisation move from descriptive reporting to truly predictive and prescriptive insights — applying advanced machine learning and data science to real-world challenges such as: Identifying patterns in student engagement and performance. Predicting churn rates and optimising retention. … backed environment. What You’ll Do Establish and lead the data science and machine learning capability. Partner with the CIO and executive team to define data priorities and build predictive solutions. Translate complex insights into clear, actionable outcomes for business stakeholders. Build the foundation for advanced analytics and data-driven decision-making across the organisation. Collaborate across application, marketing … or advanced analytics in a scaling or transformative environment. Comfortable working with senior stakeholders and translating technical concepts into strategic outcomes. Strong technical foundation across machine learning, forecasting, statistical & predictive modelling/analytics. Commercially minded — able to identify high-impact opportunities and measure value delivered. Tech stack is open for this hire to implement best practices but this More ❯

with the CIO and senior leadership team to define where and how data can deliver the most value. You’ll help the organisation move from descriptive reporting to truly predictive and prescriptive insights — applying advanced machine learning and data science to real-world challenges such as: Identifying patterns in student engagement and performance. Predicting churn rates and optimising retention. … backed environment. What You’ll Do Establish and lead the data science and machine learning capability. Partner with the CIO and executive team to define data priorities and build predictive solutions. Translate complex insights into clear, actionable outcomes for business stakeholders. Build the foundation for advanced analytics and data-driven decision-making across the organisation. Collaborate across application, marketing … or advanced analytics in a scaling or transformative environment. Comfortable working with senior stakeholders and translating technical concepts into strategic outcomes. Strong technical foundation across machine learning, forecasting, statistical & predictive modelling/analytics. Commercially minded — able to identify high-impact opportunities and measure value delivered. Tech stack is open for this hire to implement best practices but this More ❯

with the CIO and senior leadership team to define where and how data can deliver the most value. You’ll help the organisation move from descriptive reporting to truly predictive and prescriptive insights — applying advanced machine learning and data science to real-world challenges such as: Identifying patterns in student engagement and performance. Predicting churn rates and optimising retention. … backed environment. What You’ll Do Establish and lead the data science and machine learning capability. Partner with the CIO and executive team to define data priorities and build predictive solutions. Translate complex insights into clear, actionable outcomes for business stakeholders. Build the foundation for advanced analytics and data-driven decision-making across the organisation. Collaborate across application, marketing … or advanced analytics in a scaling or transformative environment. Comfortable working with senior stakeholders and translating technical concepts into strategic outcomes. Strong technical foundation across machine learning, forecasting, statistical & predictive modelling/analytics. Commercially minded — able to identify high-impact opportunities and measure value delivered. Tech stack is open for this hire to implement best practices but this More ❯

with the CIO and senior leadership team to define where and how data can deliver the most value. You’ll help the organisation move from descriptive reporting to truly predictive and prescriptive insights — applying advanced machine learning and data science to real-world challenges such as: Identifying patterns in student engagement and performance. Predicting churn rates and optimising retention. … backed environment. What You’ll Do Establish and lead the data science and machine learning capability. Partner with the CIO and executive team to define data priorities and build predictive solutions. Translate complex insights into clear, actionable outcomes for business stakeholders. Build the foundation for advanced analytics and data-driven decision-making across the organisation. Collaborate across application, marketing … or advanced analytics in a scaling or transformative environment. Comfortable working with senior stakeholders and translating technical concepts into strategic outcomes. Strong technical foundation across machine learning, forecasting, statistical & predictive modelling/analytics. Commercially minded — able to identify high-impact opportunities and measure value delivered. Tech stack is open for this hire to implement best practices but this 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 ❯

equity–backed green tech business with major investment into data and analytics! THE ROLE As a Senior Analyst, you will be involved in the following: Delivering segmentation, regression, and predictive analysis to inform commercial decisions Building forecasting models and analysing customer and usage patterns Supporting dynamic pricing initiatives to optimise revenue and energy efficiency Translating analysis into clear, actionable … engineering and reporting teams to ensure high-quality data infrastructure YOUR SKILLS AND EXPERIENCE Strong skills in SQL and Python (AWS experience desirable) Background in statistical analysis, forecasting, or predictive modelling Experience working in fast-paced, smaller team environments (not just large corporates) Excellent communication skills being able to take ownership and lead analysis projects independently Proactive, commercially More ❯

equity–backed green tech business with major investment into data and analytics! THE ROLE As a Senior Analyst, you will be involved in the following: Delivering segmentation, regression, and predictive analysis to inform commercial decisions Building forecasting models and analysing customer and usage patterns Supporting dynamic pricing initiatives to optimise revenue and energy efficiency Translating analysis into clear, actionable … engineering and reporting teams to ensure high-quality data infrastructure YOUR SKILLS AND EXPERIENCE Strong skills in SQL and Python (AWS experience desirable) Background in statistical analysis, forecasting, or predictive modelling Experience working in fast-paced, smaller team environments (not just large corporates) Excellent communication skills being able to take ownership and lead analysis projects independently Proactive, commercially 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 ❯

creation or due diligence for financial or PE-backed clients. Strong technical grounding in cloud platforms (AWS, Azure, GCP) and modern data infrastructures. Knowledge of machine learning applications (e.g. predictive modelling, AI, analytics) and their business use cases. Expertise in data governance and compliance (GDPR, CCPA). Excellent communication and stakeholder management skills, with confidence engaging at C More ❯

creation or due diligence for financial or PE-backed clients. Strong technical grounding in cloud platforms (AWS, Azure, GCP) and modern data infrastructures. Knowledge of machine learning applications (e.g. predictive modelling, AI, analytics) and their business use cases. Expertise in data governance and compliance (GDPR, CCPA). Excellent communication and stakeholder management skills, with confidence engaging at C More ❯

creation or due diligence for financial or PE-backed clients. Strong technical grounding in cloud platforms (AWS, Azure, GCP) and modern data infrastructures. Knowledge of machine learning applications (e.g. predictive modelling, AI, analytics) and their business use cases. Expertise in data governance and compliance (GDPR, CCPA). Excellent communication and stakeholder management skills, with confidence engaging at C More ❯

creation or due diligence for financial or PE-backed clients. Strong technical grounding in cloud platforms (AWS, Azure, GCP) and modern data infrastructures. Knowledge of machine learning applications (e.g. predictive modelling, AI, analytics) and their business use cases. Expertise in data governance and compliance (GDPR, CCPA). Excellent communication and stakeholder management skills, with confidence engaging at C More ❯

creation or due diligence for financial or PE-backed clients. Strong technical grounding in cloud platforms (AWS, Azure, GCP) and modern data infrastructures. Knowledge of machine learning applications (e.g. predictive modelling, AI, analytics) and their business use cases. Expertise in data governance and compliance (GDPR, CCPA). Excellent communication and stakeholder management skills, with confidence engaging at C More ❯