1 to 25 of 29 Permanent Predictive Modelling Jobs in the Thames Valley

founders who are building mission-critical technology for large enterprise clients operating critical infrastructure. You'll gain exposure to cloud engineering, multimodal LLMs, predictive modelling, and emerging AI techniques — all while shaping a platform designed for reliability, scalability, and intelligence. In this role, you'll: Develop and optimise … machine learning workflows, including predictive modelling, anomaly detection, and decision-making systems Support the design and maintenance of cloud-based infrastructure (GCP, Azure, or AWS) Contribute to data pipelines, model deployment, monitoring, and scaling across production environments Work with multi-modal LLMs — combining text, images, and sensor data ...

datasets to build production-ready analytics models and dashboards. Key Responsibilities Collect, clean, analyze, and transform structured & semi-structured HR and recruitment datasets Build predictive models for talent forecasting, attrition risk, and candidate success scores Develop data visualizations, dashboards, and reports using Python, SQL & BI tools Perform EDA (exploratory ...

datasets to build production-ready analytics models and dashboards. Key Responsibilities Collect, clean, analyze, and transform structured & semi-structured HR and recruitment datasets Build predictive models for talent forecasting, attrition risk, and candidate success scores Develop data visualizations, dashboards, and reports using Python, SQL & BI tools Perform EDA (exploratory ...

datasets to build production-ready analytics models and dashboards. Key Responsibilities Collect, clean, analyze, and transform structured & semi-structured HR and recruitment datasets Build predictive models for talent forecasting, attrition risk, and candidate success scores Develop data visualizations, dashboards, and reports using Python, SQL & BI tools Perform EDA (exploratory ...

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. ...

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 ...

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 ...

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 ...

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. ...

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 ...

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 ...