15 of 15 Remote/Hybrid Predictive Modelling Jobs in the UK excluding London

Databricks | Machine Learning | Statistics | Time Series Forecasting | Propensity Models Role: Senior Data Scientist, Lead Data Scientist, ML Scientist, AI Data Scientist, Statistical Data Scientist, Predictive Analytics Key Skills: Senior Data Scientist, Data Scientist, Machine Learning, Artificial Intelligence, Predictive Analytics, Statistical Modelling, Python, SQL, PySpark, Azure, Databricks, MLflow … GitHub Actions, CI/CD, Time Series Forecasting, Propensity Modelling, Feature Engineering, Data Engineering, Azure Machine Learning, Azure Data Platform, Experiment Design, A/B Testing, Hypothesis Testing, Predictive Modelling, Customer Analytics, Marketing Analytics, Customer Lifetime Value, Churn Prediction, Demand Forecasting, Stock Forecasting, Production Machine Learning, Cloud ...

helping teams across Marketing, Sales, Customer Services and Commercial Strategy make better, evidence-based decisions. The role will cover reporting, customer analytics, forecasting and predictive modelling, with exposure to increasingly automated and AI-enabled analytics. Hybrid working – 3 days in Oxfordshire office, 2 from home Key Responsibilities Develop … behaviour, demographics, competitor activity and market trends. Help develop and maintain commercial intelligence datasets and improve the quality and accessibility of commercial data. Support predictive modelling across acquisition, churn, upgrades, customer lifetime value, marketing performance and forecasting. Analyse pricing trials, marketing campaigns, proposition launches and other commercial experiments ...

contractors get to work faster, stay compliant and ultimately come home safely every day. This is an exciting opportunity to work across machine learning, predictive analytics, NLP and Large Language Models, with the chance to integrate innovative AI capabilities including LLMs, MCPs, APIs and enterprise data into production platforms. … technical stakeholders Working collaboratively within a cross-functional Agile environment Keeping up to date with emerging developments across AI, machine learning and predictive analytics Developing innovative data-driven solutions that improve compliance, safety and business performance Skills Proven commercial experience in Data Science and Machine Learning Strong Python ...

across the function. What you’ll be doing As Lead Data Scientist, you’ll combine deep technical work with strategic leadership: Design and deploy predictive models and ML solutions that power real-time markets. Work hands on with cutting-edge datasets, AI techniques, and scalable data pipelines. Identify patterns ...

similar. Excellent stakeholder management and communication skills. Commercial awareness and the ability to turn data insight into business outcomes. Nice to Have: Knowledge of predictive modelling, pricing, enrichment, or customer analytics. Exposure to machine learning and advanced statistical techniques. Benefits: Hybrid working & flexi-time Annual bonus opportunity. ...

encouraged to challenge traditional pricing approaches by exploring new datasets and applying innovative machine learning techniques to solve complex commercial problems. Responsibilities include: Building predictive machine learning models using large, complex datasets Developing innovative pricing and customer selection models Creating footprint (geospatial) models using alternative data sources Developing residual … while leading your own projects from concept through to delivery YOUR SKILLS AND EXPERIENCE Strong Python and SQL experience Commercial Machine Learning experience Strong predictive modelling background Comfortable working with large, messy datasets Experience solving complex business problems using data Experience mentoring or supporting junior team members Exposure ...

encouraged to challenge traditional pricing approaches by exploring new datasets and applying innovative machine learning techniques to solve complex commercial problems. Responsibilities include: Building predictive machine learning models using large, complex datasets Developing innovative pricing and customer selection models Creating footprint (geospatial) models using alternative data sources Developing residual … while leading your own projects from concept through to delivery YOUR SKILLS AND EXPERIENCE Strong Python and SQL experience Commercial Machine Learning experience Strong predictive modelling background Comfortable working with large, messy datasets Experience solving complex business problems using data Experience mentoring or supporting junior team members Exposure ...

Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines. Markerstudy is a leading provider of private insurance in the UK, insuring … engineers and share best practices Key Skills and Experience: Previous experience in tuning and deploying machine learning methods Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ...

real-time streaming of data. Evaluate business needs and objectives. Support implementation of data governance requirements. Facilitate pipelines, which prepare data for prescriptive and predictive modelling. Working with domain teams to scale the processing of data. Identify opportunities for data acquisition. Combine raw information from different sources. Manage ...

within Markerstudy Retail, so will benefit from the support and expertise of the Personal Lines retail pricing team. You'll provide technical leadership on modelling and optimisation, champion best practices, and coach team members to introduce and embed sophisticated personal lines methodologies across our commercial products. Ultimately … pricing capability and ensuring we stay ahead in a fast moving market. What you'll do Lead the development and maintenance of predictive models (GLMs) and price optimisation techniques, including machine learning algorithms (GBM), Lifetime Value models (LTV), and fair pricing principles. Provide technical leadership on WTW Radar ...

Data Science Analyst will lead the delivery of complex, system-driven pricing and analytical solutions across our UK & Ireland portfolio. This role combines advanced modelling, pricing expertise, and oversight of pricing systems to shape strategy, strengthen governance, and enhance analytical capability. Operating with a high degree of autonomy, youll … discount strategy and governance. Design tools and frameworks to support pricing decisions for high-value and high-risk segments. Apply advanced analytics, including elasticity modelling, to inform pricing strategy and planning. Partner with underwriting and commercial teams throughout planning cycles to enable data-driven decisions. Provide technical mentorship ...

strong focus on analytics, innovation, and customer outcomes. Data and pricing sit at the heart of their commercial strategy, with significant investment in technology, modelling, and decision-making capabilities. Their collaborative culture encourages curiosity, continuous improvement, and the development of new ideas. You will work alongside experts across pricing … Analysing policy, claims, quote, and market data to identify opportunities for pricing optimisation Evaluating and implementing new data sources, methodologies, and analytical approaches Reviewing predictive models developed by actuarial and data science teams Determining the most effective application of model outputs within pricing algorithms Identifying customer segments and pricing ...

strong focus on analytics, innovation, and customer outcomes. Data and pricing sit at the heart of their commercial strategy, with significant investment in technology, modelling, and decision-making capabilities. Their collaborative culture encourages curiosity, continuous improvement, and the development of new ideas. You will work alongside experts across pricing … Analysing policy, claims, quote, and market data to identify opportunities for pricing optimisation Evaluating and implementing new data sources, methodologies, and analytical approaches Reviewing predictive models developed by actuarial and data science teams Determining the most effective application of model outputs within pricing algorithms Identifying customer segments and pricing ...

interfaces, and internal applications using JavaScript, HTML, CSS, React, Node.js , & other modern web technologies. Work alongside CRM, Machine Learning, Data, & Operations teams to integrate predictive models, automation tools, and analytical insights into operational workflows. Use AI-assisted development tools, such as Codex or similar. Provide technical oversight & support ...

few. Role overview As a Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing and machine … data assets and lead the development of bespoke machine-learning models to improve the underwriting performance of the Group. Key Responsibilities: Develop and test modelling improvements for pricing models, particularly in motor. These might include improvements in hyper-parameter tuning methods, model performance, model stability and feature explainability ...