16 of 16 Permanent Predictive Modelling Jobs in the Thames Valley

skills to join our growing team. In this role, you will work closely with cross-functional teams to extract meaning from complex data, design predictive models, and translate insights into measurable business value. You'll be instrumental in shaping how data informs strategy and drives innovation across the organisation. … identify, integrate, and leverage new data sources through product capabilities. •Collaborate with engineering teams to build, test, and deploy scalable data products and predictive models. •Execute analytical experiments to address challenges across multiple business domains. •Mine and process large structured and unstructured datasets to extract meaningful features and patterns. ...

integrated with Databricks SQL endpoints for interactive reporting and dashboards. Strong understanding of statistical methods and ML frameworks (MLflow, scikit-learn, TensorFlow) for predictive modelling, experiment tracking, and deployment within Databricks. Project Delivery Experience 7+ years of experience with Microsoft data technologies. 8+ years in Professional Services, client … facing delivery roles. Deep knowledge of BI and data warehousing concepts. Solid experience with data modelling, data structures, and ETL processes. Excellent communication and stakeholder management skills. Comfortable explaining technical concepts to varied audiences. Agile delivery experience preferred. What Experience/Skills Do I Need? Proven ability to lead ...

integrated with Databricks SQL endpoints for interactive reporting and dashboards. Strong understanding of statistical methods and ML frameworks (MLflow, scikit-learn, TensorFlow) for predictive modelling, experiment tracking, and deployment within Databricks. Project Delivery Experience 7+ years of experience with Microsoft data technologies. 8+ years in Professional Services, client … facing delivery roles. Deep knowledge of BI and data warehousing concepts. Solid experience with data modelling, data structures, and ETL processes. Excellent communication and stakeholder management skills. Comfortable explaining technical concepts to varied audiences. Agile delivery experience preferred. What Experience/Skills Do I Need? Proven ability to lead ...

data management, design optimisation, model integration, and production quality assurance. Key Responsibilities Design, develop, and maintain platforms for: Data management, traceability, and visualisation Predictive modelling and optimisation Material composition design Component design and build preparation Statistical process control and production quality assurance Work within an agile development team ...

Treasury and Accounting teams to understand JD's capital operations and data sources, produce international cash flow analysis and forecasts, continuously refine and enhance predictive models; 4. Expense Analysis: Collaborate with Procurement to understand JD.com's procurement classifications and data sources, conduct international expense analysis, promptly detect data fluctuations ...

data, and help make data driven decisions to deliver better products, service and relevance to the customers. THE ROLE Customer Science • Develop and implement predictive models to understand drivers of customer behaviour, including purchase patterns, customer lifetime events and sentiment analysis • Create sophisticated customer segmentation using behavioural, transactional … demographic data • Design and build predictive models to enhance personalized customer experiences across all channels • Collaborate on design of test & learn methods to measure CRM initiatives' effectiveness • Monitor and optimize model performance through continuous improvement cycles Technical Implementation • Transform analytical solutions into production-ready code • Implement models within ...

science techniques to deliver actionable insights and build scalable data products. Key Responsibilities Design and implement AI/ML and Generative AI models for predictive analytics and marketing applications. Explore solutions using LLMs, embeddings, and RAG pipelines. Collaborate with data engineers on data quality, feature engineering, and pipeline optimization. … Experience with Generative AI frameworks and production-ready model deployment. Familiarity with cloud platforms (e.g., BigQuery, Azure, GCS) and containerization (Docker). Knowledge of predictive modeling and handling unstructured data. Preferred Experience with consumer goods or marketing analytics. Strong communication and stakeholder management skills. ...

science techniques to deliver actionable insights and build scalable data products. Key Responsibilities Design and implement AI/ML and Generative AI models for predictive analytics and marketing applications. Explore solutions using LLMs, embeddings, and RAG pipelines. Collaborate with data engineers on data quality, feature engineering, and pipeline optimization. … Experience with Generative AI frameworks and production-ready model deployment. Familiarity with cloud platforms (e.g., BigQuery, Azure, GCS) and containerization (Docker). Knowledge of predictive modeling and handling unstructured data. Preferred Experience with consumer goods or marketing analytics. Strong communication and stakeholder management skills. ...

science techniques to deliver actionable insights and build scalable data products. Key Responsibilities Design and implement AI/ML and Generative AI models for predictive analytics and marketing applications. Explore solutions using LLMs, embeddings, and RAG pipelines. Collaborate with data engineers on data quality, feature engineering, and pipeline optimization. … Experience with Generative AI frameworks and production-ready model deployment. Familiarity with cloud platforms (e.g., BigQuery, Azure, GCS) and containerization (Docker). Knowledge of predictive modeling and handling unstructured data. Preferred Experience with consumer goods or marketing analytics. Strong communication and stakeholder management skills. ...

that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineering Lead to define and deliver this vision. Job Summary & Purpose Own and drive Akixi … partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi's AI initiatives deliver tangible business and customer outcomes. Key Responsibilities Lead ...

that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineering Lead to define and deliver this vision. Job Summary & Purpose Own and drive Akixi … partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi's AI initiatives deliver tangible business and customer outcomes. Key Responsibilities Lead ...

that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineering Lead to define and deliver this vision. Job Summary & Purpose Own and drive Akixi … partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi's AI initiatives deliver tangible business and customer outcomes. Key Responsibilities Lead ...

Required Skills Hands-on experience with Microsoft Power Platform (Power Apps, Power Automate) and AI Builder. Strong understanding of AI/ML concepts, data modelling, and model lifecycle management. Proficiency in JavaScript, Power Fx, and integration with APIs. Familiarity with Azure Cognitive Services and Dataverse. Good knowledge … data handling. Key Responsibilities Develop and implement AI models using Microsoft AI Builder within Power Apps and Power Automate. Build and integrate predictive models, form processing, and object detection solutions. Collaborate with business teams to identify automation opportunities and deliver scalable AI solutions. Ensure data quality, security, and compliance ...

Founding Quant, a founding-level role to help design, build, and scale our research and trading platform. Role Description Develop and test short-horizon predictive models and alpha signals. Design, implement, and optimise execution and market-making strategies. Build end-to-end trading pipelines, from research and simulation … Engineering from a top university. Experience & Domain Knowledge 2–5 years of experience owning the full lifecycle of a trading strategy: idea generation → research → modelling → backtesting/simulation → implementation → live execution. Deep understanding of market microstructure, liquidity, and order-book dynamics. Experience in an HFT, proprietary trading, or systematic ...

with a business who are building an AI-powered platform that helps brands activate their happiest customers through intelligent referral journeys, reward automation, and predictive modelling. As we expand our generative AI and experimentation capabilities, we're hiring a full-stack Senior Data Scientist who loves solving ambiguous problems … stay hands-on and move fast. What We're Looking For We're looking for a generalist, not a narrow specialist—someone comfortable with modelling, experimentation, prototyping, and cross-functional collaboration. You're a great fit if you: Have strong experience with ML and generative AI/LLM development ...

spinout, this company is building an AI-native Insight & Decision Platform that connects to existing maintenance and procurement systems to turn operational data into predictive insights and autonomous decisions. The mission: help manufacturers move from systems of record to systems of execution, powered by applied AI. Core focus areas … Intelligent Inventory – predictive stock optimisation Better Buying – autonomous procurement Absolute Automation – removing manual admin Small, agile team (4 developers + Founder/CEO) with a major pilot planned for mid-2026 and strong parent-company backing. Key Responsibilities Design and deploy AI features (intelligent search, procurement agents, predictive ...