19 of 19 Permanent Predictive Modelling Jobs in the Thames Valley

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...