1 to 25 of 307 Predictive Modelling Jobs in the UK

value proposition. The ideal candidate will blend advanced analytical skills with business acumen to deliver insights that shape strategic decisions and operational excellence. Key Responsibilities Advanced Data Analytics and Predictive Modeling Develop and implement sophisticated statistical models and machine learning algorithms to forecast trends, predict outcomes, and identify opportunities for performance enhancement. Utilize advanced analytics techniques such as regression More ❯

Science, Computer Science, Statistics, or a related field Detail-oriented with excellent analytical and problem-solving skills ⭐ Preferred Experience: Background in real estate, investments, or facilities management Familiarity with predictive modeling or machine learning Expertise in large datasets and optimized data modeling 💼 Why Join? Join a globally recognized investment firm with impactful projects Help shape and scale enterprise-wide More ❯

Science, Computer Science, Statistics, or a related field Detail-oriented with excellent analytical and problem-solving skills ⭐ Preferred Experience: Background in real estate, investments, or facilities management Familiarity with predictive modeling or machine learning Expertise in large datasets and optimized data modeling 💼 Why Join? Join a globally recognized investment firm with impactful projects Help shape and scale enterprise-wide More ❯

and KPIs. Create dashboards and reports that communicate actionable insights to stakeholders. Collaborate with IT and Data teams to improve data quality and accessibility. Model Development: Build and maintain predictive models using machine learning algorithms to identify fraudulent activities. Test, evaluate, and fine-tune models to improve fraud detection accuracy and reduce false positives. Document methodologies and results, ensuring More ❯

play a critical role in transforming how we understand and serve our customers. In this exciting role, you'll lead the analysis of customer behaviour and commercial data, using predictive and advanced analytics to influence high-level decision-making across trading, CRM, and marketing. You'll be a key voice in the room, translating complex findings into clear, actionable … of the UK's fastest-growing retailers. You'll work at the heart of our Data & Analytics team, collaborating cross-functionally and mentoring others while driving innovation through experimentation, modelling, and automated decisioning. If you thrive in a fast-paced, insight-led environment and want your work to drive real change, we'd love to hear from you. At … how we target and segment consumers for targeted offers and promotions - Interrogate large volumes of data from a range of sources (online, customer verbatims, transactional etc) to use for modelling - Build predictive models to support business decision making - Build prescriptive tools (automated decisioning) with measurable commercial value - especially improving our marketing ROI - Lead the proactive and reactive support More ❯

including customer service metrics, retention analytics, financial KPIs, marketing performance, and product usage patterns Statistical Knowledge: Understanding of statistical methods for analysing operational efficiency, customer behaviour, cohort analysis, and predictive modelling for business metrics GCP Familiarity: Working knowledge of Google Cloud Platform analytics tools, particularly BigQuery for large-scale data analysis Problem Solving & Communication: Proven ability to translate More ❯

insight and drive impactful business decisions. Your Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance … Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to More ❯

insight and drive impactful business decisions. Your Responsibilities: Analyse complex datasets: Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance … Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to More ❯

Science, Computer Science, Statistics, or a related field Detail-oriented with excellent analytical and problem-solving skills ⭐ Preferred Experience: Background in real estate, investments, or facilities management Familiarity with predictive modeling or machine learning Expertise in large datasets and optimized data modeling 💼 Why Join? Join a globally recognized investment firm with impactful projects Help shape and scale enterprise-wide More ❯

Science, Computer Science, Statistics, or a related field Detail-oriented with excellent analytical and problem-solving skills ⭐ Preferred Experience: Background in real estate, investments, or facilities management Familiarity with predictive modeling or machine learning Expertise in large datasets and optimized data modeling 💼 Why Join? Join a globally recognized investment firm with impactful projects Help shape and scale enterprise-wide More ❯

and consumer behaviour? Join a fast-growing retail innovation company in the heart of London. We're looking for a Junior Data Scientist eager to apply their analytical and modelling skills to support data-driven decisions that improve performance, enhance customer engagement, and increase profitability across the retail value chain. 🔍 Your Responsibilities: Analyse consumer and sales data: Work with … large, complex datasets to uncover insights on shopper behaviour, purchasing trends, and retail performance. Support predictive modelling: Collaborate on machine learning models to forecast demand, optimise inventory, and personalise the customer journey. Develop retail data solutions: Build algorithms and tools that drive smarter pricing, promotion, and merchandising strategies. Cross-functional collaboration: Work closely with marketing, merchandising, and product … STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Experience with Python and SQL for data analysis, manipulation, and basic modelling. Understanding of machine learning: Exposure to predictive modelling techniques, particularly in Time Series Forecasting, NLP, or Recommendation Systems. Data visualisation: Familiarity with Tableau, Power BI, or similar tools. Strong analytical and communication skills: Able to More ❯

Board, in support of AIB's customer franchise and social responsibility. This role is in the Decision Analytics & Insights Team in Risk Analytics. They are responsible for development of predictive models and credit strategies to determine customer risk profiles, which are then used to automate credit decisions for the Bank's customers. The team also provide management information to … credit models to ensure they continue to operate as expected. Key accountabilities. Analysis & Investigation: Undertake and guide junior data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management, services and products of the bank; Digital protection: Access/utilise bank data within the policies and frameworks required by AIB; Predictive model development: Take a leading role in building predictive models that are focussed on impact core business elements, such as automated decisioning, credit grading, capital requirements and loss expectations; Data insights: Perform and guide junior data scientists in exploratory and ad-hoc data analysis with a view to generating insights and using this to deliver actionable recommendations to More ❯

including customer service metrics, retention analytics, financial KPIs, marketing performance, and product usage patterns Statistical Knowledge: Understanding of statistical methods for analysing operational efficiency, customer behaviour, cohort analysis, and predictive modelling for business metrics GCP Familiarity: Working knowledge of Google Cloud Platform analytics tools, particularly BigQuery for large-scale data analysis Problem Solving & Communication: Proven ability to translate More ❯

engineers and industry experts, applying data engineering and data science techniques to optimize supply chain processes. Your expertise will directly contribute to providing our clients with real-time visibility, predictive analytics, and actionable insights. What You Will Do Develop and implement machine learning models to improve the accuracy of supply chain ETA s. Analyze large, complex datasets to extract … supply chain problems. Contribute to the development of our analytics product suite, ensuring scalability and efficiency. Communicate complex data science concepts to non-technical stakeholders. Key Responsibilities 1. Advanced Predictive Models: Utilize machine learning algorithms to analyze historical data and identify patterns. Models such as regression analysis, neural networks, or ensemble methods can predict ETAs more accurately by considering … various factors like traffic conditions, weather, route efficiency, and historical performance. 2. Real-Time Data Integration: Incorporate real-time data into predictive models. This includes traffic updates, weather conditions, vehicle speed, and location data. Real-time data allows for dynamic adjustments to ETA predictions as conditions change. 3. Historical Data Analysis: Analyze historical data to understand common delays and More ❯

greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable PossibilitySM. Strategic Analytics is a growing team at Arch that develops innovative predictive models and analytical tools to improve profitability and growth as well as providing deep analytical insight for decision makers. To be successful, we need to develop powerful models, tools … the profitability of Arch’s London Market portfolio. You will oversee a multi-skilled team of data scientists, data engineers and other technical experts to develop best-in-class predictive models and data-led solutions. You will be responsible for ensuring projects are appropriately accepted, planned and prioritised and that solutions meet stakeholders needs. Key Tasks And Responsibilities Work … teams and share ideas to solve complex business problems. Build strong partnerships with peers across the organization to support project goals and boarder team needs. Oversee the build of predictive models using advanced analytics techniques including GLMs, GBMs, natural language processing and other machine learning approaches. Develop powerful insights using a variety of analytical tools, techniques, and technologies, and More ❯

data and analytics risk assessment company and a leading source of information about insurance risk. To serve our clients, we draw upon our vast experience in data management and predictive modelling to offer decision analytics to the insurance industry through underwriting to claims management in personal lines, commercial lines, and the London market. In underwriting we create sophisticated … products. The International Analytics Team is a dynamic and exciting place to work: our projects are extremely varied and include developing supervised machine learning models, unsupervisedclustering type models, language modelling, network analysis and a variety of other statistical analysis methods. The successful candidate(s) will be at an early stage in their career.You will have the opportunity to play … . Produce models using a variety of algorithms (GLM, GBM, Random Forest, Neural Networks etc.) and assess the relative strength of each model Identify which factors are relevant and predictive and should be included in the model build Document processes, code, implement version control, and create functions/template code so that your successes can be applied to new More ❯

processes and drive improvements in pension provision. You will work closely with business owners to identify opportunities to drive value from data and lead the development of advanced analytics & predictive modelling algorithms. You will be comfortable working independently and as part of small teams in dynamic projects across Just to develop predictive models, identify health and mortality More ❯

processes and drive improvements in pension provision. You will work closely with business owners to identify opportunities to drive value from data and lead the development of advanced analytics & predictive modelling algorithms. You will be comfortable working independently and as part of small teams in dynamic projects across Just to develop predictive models, identify health and mortality More ❯

processes and drive improvements in pension provision. You will work closely with business owners to identify opportunities to drive value from data and lead the development of advanced analytics & predictive modelling algorithms. You will be comfortable working independently and as part of small teams in dynamic projects across Just to develop predictive models, identify health and mortality More ❯

by leveraging cutting-edge AI, machine learning (ML), and advanced analytics to solve complex challenges. The Technical Data Scientist will develop, deploy, and optimize scalable data science solutions, including predictive models, AI/ML-powered decision engines, and automation frameworks that deliver measurable commercial value. This includes integrating cloud-based, real-time, and MLOps best practices to ensure robust … Define and own the data science roadmap, ensuring alignment with business priorities and delivering measurable commercial value to Greene King. Develop, deploy, and scale advanced data science solutions, including predictive models, AI/ML decision engines, and automation frameworks, to drive data-led operational decisions. Implement and oversee robust MLOps practices, ensuring models remain accurate, explainable, and optimized through … computer science, etc. Best Practice knowledge and experience of Data Science standards and approaches. Expert in Python, SQL and other coding languages and platforms. Expert in statistical and AI modelling and relevant software/platforms. Significant knowledge and Experience in Databricks and Lakehouse concepts. Strong stakeholder management experience across multiple levels of an organisation. Proven ability to solve complex More ❯

role (gaming, betting, or consumer apps is a big plus) Strong skills in SQL, Python or R, and data visualisation tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus: Experience with fraud detection or risk analytics Strong attention to detail More ❯

Apply advanced Python techniques to manipulate and analyse large datasets. Design and maintain data pipelines to ensure the integrity and accessibility of critical business data. Provide actionable insights through predictive analytics and statistical modelling. Collaborate with cross-functional teams to align data science initiatives with business objectives. Communicate complex data findings in a clear, concise manner to stakeholders. Stay … proficiency in Python, including libraries like Pandas, NumPy, TensorFlow, and PyTorch. Experience with Generative AI, Large Language Models (LLMs) and their practical applications. Expertise in data insights, analytics, and predictive modelling. Knowledge of cloud-based data platforms and infrastructure. Familiarity with insurance data, risk analysis, or financial services analytics (preferred but not essential). Excellent problem-solving and communication More ❯

implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organization's strategic business objectives • Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data • Collaborate cross-functionally with data engineers, data scientists, and business partners to define and deliver impactful BI More ❯

implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organization's strategic business objectives • Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data • Collaborate cross-functionally with data engineers, data scientists, and business partners to define and deliver impactful BI More ❯

working with large-scale data. Familiar with Tableau (or quick to learn) and comfortable building data visualizations. Strong analytical toolkit: statistical methods, scenario modeling, A/B testing, or predictive modeling experience. Business-savvy and interested in learning or expanding knowledge in the travel or vacation rental space. Demonstrated experience working independently and driving analyses from ideation to executive More ❯