1 to 25 of 33 Permanent Predictive Modelling Jobs in the Thames Valley

OPPORTUNITY A new contract opportunity for an AI Engineer to join a cutting-edge AI Sports company revolutionising how data and machine learning drive athletic performance, fan engagement, and predictive analytics in the sports industry. You’ll be part of a highly skilled R&D team building next-generation AI solutions for real-time insights, performance optimisation, and immersive … sports analytics. THE ROLE Design, develop, and deploy AI/ML models focused on sports analytics, predictive modelling, and computer vision. Collaborate with data scientists, software engineers, and sports analysts to translate real-world data into actionable insights. Optimise AI systems for real-time environments, integrating with live data feeds and cloud infrastructure. Research and prototype cutting-edge … apply directly by emailing jordanna.ramsey@searchability.com with your CV and availability. KEYWORDS: AI Engineer, Machine Learning Engineer, Sports Analytics, Computer Vision, Deep Learning, Python, TensorFlow, PyTorch, MLOps, Data Science, Predictive Modelling, Sports Tech, AI in Sports More ❯

improvements Qualifications Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data More ❯

Python libraries like Pandas, NumPy, scikit-learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural More ❯

regions. Your work will directly impact trading, commercial strategy, and financial performance Responsibilities include: • Analyse large datasets and KPIs to identify trends, patterns, and business opportunities. • Develop and maintain predictive models to forecast market trends, customer behaviour, and financial indicators. • Provide actionable insights and recommendations to stakeholders across regional and cross-functional teams. • Monitor and evaluate commercial initiatives to More ❯

grow significantly. There are many things to focus on depending on experience and interests. The role is all about pro-active "building and improving", whether that is improving the predictive power of algorithms, improving client insights available through the user interface, or streamlining and automating data refresh processes. What you'll be working on Building and improving price optimisation … machine learning pipelines including data validation, classification, clustering, predictive modelling, neural networks, statistical model evaluation, optimisation, and process automation. Preparing presentations for clients based on data and market insights Interacting with clients on a regular basis and providing pricing guidance based on data insights R&D of new modelling algorithms, optimisation methodologies and process improvements Supporting business More ❯

Build and maintain data systems, pipelines, and algorithms for advanced analytics and AI. Conduct complex data analysis to uncover trends, insights, and optimization opportunities. Prepare datasets for prescriptive and predictive modeling . Design, prototype, and validate GenAI applications aligned with business objectives. Combine data from multiple sources, ensuring data quality and reliability. Rapidly prototype user experiences for validation and More ❯

SQL (PostgreSQL, MySQL) to transform raw data into high-quality, analytics-ready datasets. Collaborate with data scientists, analysts, and software engineers to ensure seamless data integration and availability for predictive modeling and business intelligence. Optimize data storage and processing in Azure environments for performance, reliability, and cost-efficiency. Implement best practices for data modeling, governance, and security across all More ❯

key performance and operational metrics. Deliver actionable insights through claims portfolio and operational analytics to inform underwriting and process improvement. Partner with in-house data science teams to develop predictive models and advanced analytics tools. Collaborate with underwriting, actuarial, and claims operations teams to enhance MI reporting and KPI dashboards. Ensure robust data governance and integrity across all claims 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 ❯

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 ❯

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 ❯

in Computer Science, Engineering, Mathematics, or Physics preferred. Why Join Work directly with Front Office trading teams on next-gen algorithmic trading systems. Gain exposure to real-time analytics, predictive modelling, and high-performance systems. Collaborative, high-energy environment with strong growth opportunities. More ❯

AI/ML-Driven PropTech I am currently working with start/scale up within the PropTech sector looking to hire a Data Scientist to work on high-impact predictive modelling projects in a fast-growing company. This role offers the opportunity to work end-to-end on ML models, helping to revolutionise the property industry by leveraging … data-driven insights. As a Data Scientist, you’ll be building and optimising predictive models to understand trends in the property market, such as likelihood of sale and customer retention. You’ll work closely with Data Engineers and Product teams to drive AI/ML innovation while ensuring models are scalable and impactful. What You’ll Be Doing: Developing … predictive models to forecast property trends and customer behavior. Leveraging MLOps best practices to ensure efficient model deployment and monitoring. Working end-to-end across the data pipeline – from data extraction to model evaluation. Collaborating with cross-functional teams to turn insights into actionable business decisions. Tech Stack & requirements: Python | SQL | Snowflake | DBT | Tableau | Dataiku 3+ years of experience More ❯

firm combines fundamental research with advanced data science, building scalable infrastructure where insights directly influence portfolio performance. The Role The Data Scientist will originate and analyse novel datasets, build predictive models, and deliver insights that drive investment decisions. The position involves working closely with investors and engineers to forecast key company KPIs, design real-time dashboards, and develop best More ❯

with senior stakeholders across marketing, finance, and operations to ensure the data infrastructure supports business growth and audience understanding. Alongside this, you will shape the roadmap for advanced analytics, predictive modelling, and machine learning initiatives that drive customer engagement and commercial performance. Key Responsibilities Implement and evolve the business-wide data strategy aligned with commercial goals. Lead the … design and scaling of the central data platform in GCP. Oversee governance, compliance, and data quality frameworks. Standardise reporting and insights delivery through Power BI and Omni. Deploy predictive analytics models, including CLV and propensity scoring. Partner with cross-functional teams to enable smarter use of data across digital and physical channels. Lead, mentor, and grow a high-performing … experience leading data teams across engineering, analytics, and BI. Strong technical understanding of modern data platforms and pipelines. Skilled in stakeholder management, governance, and cross-functional collaboration. Experience building predictive models or enabling ML-driven insights. Background within entertainment, media, or audience-based industries is advantageous. 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 ❯

techniques to maximise labelling efficiency Act as a subject matter expert in Analytics: Strong understanding of statistics, experimental design, and hypothesis testing to identify trends and patterns, and develop predictive models Design intuitive visualisations to communicate findings and insights to clients, technical and non-technical stakeholders Lead model deployment with an eye for performance, scalability, and real time low … plus. Experience Required skills Hands-on experience building and deploying ML models in Python SQL skills and familiarity with AWS for deployment and data workflows. Strong knowledge of statistical modelling, anomaly detection, clustering, and supervised/unsupervised learning Experience working with large-scale data Proven success collaborating with product and engineering teams to ship ML-based features and tools More ❯

annual bonus Reports to: Head of Analytics & Consulting Start date: November 2025 (ASAP start preferred) About the Company Our client is a leading analytics and management consultancy that combines predictive analytics , machine learning , and systems thinking to help major organisations make evidence-based strategic decisions. With over five decades of research heritage in identifying the drivers of profitability and … with data, and applying scientific thinking to real-world business challenges. Key Responsibilities Support consulting projects with data analysis, research, and performance benchmarking. Build and maintain datasets, dashboards, and predictive models to inform strategic recommendations. Conduct quantitative and qualitative research to identify key drivers of profitability and growth. Translate complex data into clear, actionable insights and visual reports for … R, Power BI, or SQL is advantageous. Clear and confident communicator, comfortable presenting insights to senior stakeholders. Intellectually curious, methodical, and motivated by solving complex problems. Genuine interest in predictive analytics , business strategy , and data-driven consulting . Available to start immediately or by November 2025. What’s on Offer Competitive salary of £35,000 - £40,000 plus annual More ❯

tweaking how automated decisions are being made Requirements: Proven experience in applying data analysis and machine learning to real-world problems Proven experience managing production data pipelines Understanding of predictive modelling, machine-learning, clustering and classification techniques Fluency in Python and SQL Nice to have: Experience using Databricks Experience using Microsoft Azure Experience with RabbitMQ and Docker Experience More ❯

pricing models across European markets. • Analyse pricing performance, competitor trends, and customer data to inform strategy. • Manage pricing data and governance within the ERP system. • Build customer segmentation and predictive models to drive personalisation. • Design and assess A/B tests and other experiments to evaluate commercial impact. • Provide actionable insights and dashboards for commercial, marketing, and finance teams. … environments. • Strong Skills in SQL, Python, and data visualisation tools (Power BI preferred). • Experience in building models to deliver actionable insights. • Experienced with customer/CRM analytics and predictive customer segmentations. • Degree in a quantitative field (Statistics, Maths, Economics, Physics) is advantageous. Personal Attributes: • Results-driven, pragmatic, and focused on continuous improvement. • Takes ownership and shows tenacity in More ❯

industry , either institutional or regulatory side, or a consultant supporting financial institutions/reviewing from a regulatory perspective. Knowledge of IFRS9 , Fraud detection and experience with Credit scoring and predictive modelling for financial institutions. If you’re interested in finding out more, please apply and your application will be reviewed by Ian Tittley at Investigo! Principal Data Scientist More ❯

time to look for your next role? A profitable, independently funded technology AI start-up is hiring React Native Engineers to help scale its AI-powered data visualisation and predictive modelling platform, used by over 2.5 million professionals worldwide , including senior leaders, academics, and government teams. The platform underpins key digital offerings for major global institutions and enables More ❯

video, test results). Design and deploy data integration and analysis pipelines. Collaborate with engineers and product managers to bring ML features to life. Create innovative language assessments and predictive models. Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). More ❯

desks as well as portfolio companies across industries to deliver machine learning solutions that unlock value and accelerate decision-making. Your work will range from developing and validating robust predictive models for pricing and valuation across diverse asset classes to dynamically optimizing prices under changing market conditions. You’ll be expected to translate complex data into actionable insights and … Sample project you will work on: Real estate portfolio valuation: Work on developing advanced valuation models for real estate portfolios using internal and external data sources. This includes building predictive models with uncertainty estimates, improving model performance through rigorous evaluation, and creating data pipelines to support modelling and analytics. You’ll also prototype processes downstream of valuation models … into business processes. Price optimization & forecasting for goods: Develop machine learning models to forecast demand and optimize pricing strategies for goods sold by a portfolio company. You’ll build predictive models that incorporate seasonality and competitive pricing data, while quantifying uncertainty and maintaining model explainability to support robust, transparent decision-making. Your Experience: We’re a small, high-impact More ❯