1 to 25 of 30 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. ...

communication skills and the ability to work independently. Preferred Skills Experience with Power BI, Tableau, or other data visualisation tools. Understanding of statistical analysis, predictive modelling, or machine learning techniques. Previous internship or project-based experience in data analysis or reporting. Benefits and Perks Paid role ...

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 ...

They are looking for a Data Scientist with a strong GIS focus to be responsible for analysing large datasets to extract actionable insights, build predictive models and develop data-driven solutions to complex problems. You will play a major part in data visualization, statistical analysis and collaboration with cross ...

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 ...

Junior to Senior Principal—to join our team. What You'll Do Apply data science techniques to solve complex business challenges Design and implement predictive models, machine learning algorithms, and AI-driven solutions Build and optimize data pipelines for advanced analytics Deliver insights through statistical analysis, visualization, and storytelling ...

with SQL and relational databases required. Experience with Java, Kotlin, or Rust is beneficial Data Science: Solid grounding in statistical analysis, machine learning, and predictive modelling. Experience working with large-scale, time-series, or event-driven datasets. Ability to design experiments, validate models, and interpret results critically. Data Engineering ...

park, but we thrive on the challenge. We believe we're on the brink of creating something truly awesome. Responsibilities Analyse marketing performance, leveraging predictive modelling and statistical analyses to forecast strategy impact and identifying insights that reduce costs, improve conversion rates, and optimise spend. Develop advanced analytical … data. Lead post-campaign analysis, pre-campaign planning, and audience profiling to maximise marketing effectiveness. Work on multi-touch attribution (MTA) and marketing mix modelling (MMM) to analyse and optimise marketing spend. Act as the point of contact for reporting requests. Essential Experience 5+ years of experience in data ...

park, but we thrive on the challenge. We believe we're on the brink of creating something truly awesome. Responsibilities Analyse marketing performance, leveraging predictive modelling and statistical analyses to forecast strategy impact and identifying insights that reduce costs, improve conversion rates, and optimise spend. Develop advanced analytical … data. Lead post-campaign analysis, pre-campaign planning, and audience profiling to maximise marketing effectiveness. Work on multi-touch attribution (MTA) and marketing mix modelling (MMM) to analyse and optimise marketing spend. Act as the point of contact for reporting requests. Essential Experience 5+ years of experience in data ...

park, but we thrive on the challenge. We believe we're on the brink of creating something truly awesome. Responsibilities Analyse marketing performance, leveraging predictive modelling and statistical analyses to forecast strategy impact and identifying insights that reduce costs, improve conversion rates, and optimise spend. Develop advanced analytical … data. Lead post-campaign analysis, pre-campaign planning, and audience profiling to maximise marketing effectiveness. Work on multi-touch attribution (MTA) and marketing mix modelling (MMM) to analyse and optimise marketing spend. Act as the point of contact for reporting requests. Essential Experience 5+ years of experience in data ...

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 ...

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 ...

working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline. As Head ...

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 ...

problems that need clean, reliable, well-modelled data. You'll work on high-impact projects such as: • Building cloud-based data pipelines that power predictive models and advanced analytics • Ingesting financial, operational, and third-party data from APIs into scalable storage layers • Developing dbt transformations and ELT workflows … doing • Designing and building scalable data pipelines in a modern Azure environment • Developing modular, production-grade ELT workflows (dbt, Airflow, SQL, Python) • Modelling data for analytics, BI, forecasting, and machine learning use cases • Optimising data architectures for performance, cost, and reliability • Working closely with data scientists, software engineers ...

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 ...

some experience in pricing optimisation and demand forecasting. Analytical skills to transform complex data into actionable insights aligned with business KPIs. Strong statistical and modelling skills, including time series and ensemble models. Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and core data science … Snowflake and DBT. Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS. Creativity and innovative thinking to explore diverse data sources for improved predictive models. If you're interested in this role and feel you fit the requirements, apply through the AD to find out more! Data Scientist ...

some experience in pricing optimisation and demand forecasting. Analytical skills to transform complex data into actionable insights aligned with business KPIs. Strong statistical and modelling skills, including time series and ensemble models. Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and core data science … Snowflake and DBT. Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS. Creativity and innovative thinking to explore diverse data sources for improved predictive models. If you're interested in this role and feel you fit the requirements, apply through the AD to find out more! Data Scientist ...

some experience in pricing optimisation and demand forecasting. Analytical skills to transform complex data into actionable insights aligned with business KPIs. Strong statistical and modelling skills, including time series and ensemble models. Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and core data science … Snowflake and DBT. Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS. Creativity and innovative thinking to explore diverse data sources for improved predictive models. If you're interested in this role and feel you fit the requirements, apply through the AD to find out more! Data Scientist ...

some experience in pricing optimisation and demand forecasting. Analytical skills to transform complex data into actionable insights aligned with business KPIs. Strong statistical and modelling skills, including time series and ensemble models. Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and core data science … Snowflake and DBT. Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS. Creativity and innovative thinking to explore diverse data sources for improved predictive models. If you're interested in this role and feel you fit the requirements, apply through the AD to find out more! Data Scientist ...