26 to 47 of 47 Predictive Modelling Jobs in the UK excluding London

architecture and lifecycle of the data platform, covering ingestion, storage, analytics and machine learning Enable data science and advanced analytics use cases including predictive models, experimentation, AI and GenAI within a governed environment Ensure the platform supports secure access to structured and unstructured data, including client, matter, financial ...

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 ...

Experience: Proven experience leading Data Science teams in a commercial environment. Strong knowledge of machine learning, statistics, Python and SQL. Experience developing and deploying predictive models using customer and commercial data. Experience with cloud analytics platforms (e.g. Databricks, Snowflake or BigQuery). Strong stakeholder management, communication and leadership skills. ...

uncover trends, patterns, and insights that drive marketing strategies.Collaborate closely with cross-functional teams to develop data-driven solutions that enhance client campaigns.Create predictive models and algorithms that inform decision-making and optimise marketing performance.Present your findings in a clear and engaging manner to stakeholders, ensuring strategies are backed ...

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 ...

real-time market data to trading infrastructure, where speed and reliability are fundamental requirements Building integrated environments where quantitative researchers develop, test, and deploy predictive models - from feature engineering through execution Architecting cloud-based simulation and experimentation platforms that support large-scale quantitative research without becoming a bottleneck Standing ...

Desirable Experience of supporting business case development or bid writing through data analysis. Knowledge of population health management approaches. Familiarity with demand and capacity modelling, service evaluation, or predictive analytics. Skills and Abilities Essential Strong practical EMIS Web data extraction and analytical skills. Advanced Microsoft Excel skills, including … effectively to changing organisational priorities. Desirable Experience of developing automated or semi-automated reporting solutions. SQL, R or Python. Statistical analysis and/or predictive modelling. Knowledge of population health management and healthcare commissioning. Qualifications Essential Degree in a numerate, analytical, health-related, or information-related subject, or equivalent ...

bring the data perspective. You'll help ensure experiments are designed with the downstream data requirements in mind, lead the approach to modelling and validation, and ultimately help turn complex real-world scientific data into robust ML-driven products. We're particularly interested in people with experience across areas … environments • Data Science & Machine Learning • Experimental design and statistical methodology • Noisy real-world sensor, instrument or time-series data • Signal processing, classification or predictive modelling • Taking scientific or ML products from experimentation towards real-world deployment • Python/R/similar hands-on analytical tooling Experience within chemistry ...

using the platform's pseudonymised linked dataset. Working alongside colleagues responsible for data pipeline and quality infrastructure, the postholder will focus on longitudinal and predictive analyses of CYP health, contributing to peer-reviewed publications, grant applications, and the development of a clinical risk stratification tool for early identification … candidate risk and protective factors, exploring sub-group structure and clustering. Exploring relationships between variables and carrying out feature engineering steps required to support predictive modelling.The postholder will develop and validate predictive models aimed at: Modelling future risk of mental health problems in CYP prior to contact ...

Data Scientist to support the development of innovative solutions for their customers. The Role and Deliverables Design, develop, implement, and maintain pricing optimisation and modelling algorithms. Build predictive models focused on customer behaviour, demand forecasting, and price elasticity. Develop data-driven pricing strategies and recommendations for customers. Partner … optimisation models into production environments and continuously improve performance based on real-world outcomes. Support customer experimentation through A/B testing and scenario modelling, while communicating insights to stakeholders in a clear and actionable way. Your Skills & Experience Strong experience designing and implementing large-scale pricing optimisation systems. ...

translate findings into actionable recommendations. Innovative Solutions: Combine structured datasets with unstructured sources (like text and customer interaction data) to create robust features and predictive models. NLP & GenAI Expertise: Apply traditional NLP techniques and cutting-edge GenAI tools for text classification, summarization, entity extraction, and more. Data Pipelines: Build … Experience Required: Proven expertise in delivering end-to-end data science solutions that yield practical outcomes. Experience in combining structured and unstructured datasets for modelling and analysis. Strong background in NLP and GenAI techniques, including text classification, summarization, and embeddings. Advanced proficiency in SQL, Python, and PySpark, with ...

problems & improve decision-making. They will develop & evaluate statistical & machine learning approaches, focus on applications such as population health analysis, risk stratification, forecasting, segmentation & predictive modelling. Bringing together complex datasets, identifying appropriate modelling approaches, evaluating performance & ensuring outputs & limitations are understood. Strong focus on moving data science beyond … ensure analytical code & models can be developed, tested, deployed & updated in a controlled & reproducible way. Emphasis placed on discovery, experimentation & rapid prototyping, testing hypotheses & modelling approaches early, evaluating whether they provide meaningful value & iterating based on evidence & user feedback. Ensure solutions are robust, reproducible, explainable & appropriately validated, consideration given ...

customer base across the hospitality sector. The Role and Deliverables Develop and implement advanced pricing models and optimisation algorithms to maximise customer revenue. Build predictive models to forecast customer behaviour, demand patterns, and price elasticity. Partner with product, engineering, sales, and customer success teams to deliver pricing strategies that … Monitor model performance using real-world outcomes and continuously refine solutions to improve effectiveness. Enable customers to conduct A/B testing and scenario modelling, providing clear recommendations based on data-driven insights. Your Skills & Experience Strong experience designing and implementing large-scale pricing optimisation solutions. Advanced programming skills ...

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 ...

aligned discovery chemistry. You have a foot firmly planted in both domains and you know how to capture experimental design data to use as predictive model training, just as well as you know how to contribute directly to formulation development. You’re interested in the applications of digital chemistry … Process Intelligence Identify and implement AI-enabled tools and workflows across binder development and characterisation, including experimental design (DoE), data capture, automated analysis, and predictive modelling. Help the team digitise and structure experimental data to support machine learning and pattern recognition across formulation datasets Develop and optimise AI-assisted ...