20 of 20 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. ...

manage multiple analytical tasks simultaneously. Desirable Skills Prior experience in market analysis, commercial insight, or strategy-focused analytical roles (internships welcome). Knowledge of predictive modelling or machine learning techniques. Familiarity with B2B services, technology, or related industries. Experience with cloud-based analytics platforms or big data technologies. ...

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 ...

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 ...

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 ...

skills in Machine Learning Engineering, and Generative AI to join our innovative AI & Data Science team. The ideal candidate will bring expertise in advanced predictive modeling, scalable data solutions, and integrating AI systems into enterprise platforms. A strong research mindset is essential to excel in this role. This position … future of AI-driven decision-making at Property Finder, driving data strategy, and delivering impactful AI solutions. Key Responsibilities: Design and implement advanced predictive and optimization models, leveraging classical ML/Statistical model, deep learning models, and modern AI techniques. Drive applied innovation in Large Language Models (LLMs), Generative ...

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 ...

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 … 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 ...

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. ...

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 ...

stack, from advanced recommender systems to comprehensive performance analytics. Key Responsibilities: Design and implement scalable machine learning for complex data analysis, optimised recommendations, and predictive modelling. Translate the latest advances in machine learning into impactful solutions and products, from rapid MVPs to fully deployed, production-ready systems. Bring your … Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in Python, with a demonstrated ability to develop and debug production-grade code. Desired Skills (Bonus Points): Strong ...

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 ...

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 ...