26 to 50 of 68 Predictive Modelling Jobs in the UK

within the Data and Insights function, you'll provide expert analysis of the student recruitment pipeline, from enquiry through to enrolment, using forecasting, scenario modelling and performance insight to identify risks, highlight opportunities and support informed decision-making across Recruitment, Admissions, Marketing and Academic teams. What … functions. Experience with CRM systems, applicant data or student recruitment platforms would be advantageous, as would knowledge of international student recruitment, marketing analysis or predictive modelling techniques. Why BIMM University We are a values-led organisation, meaning our core values underpin all that we do: Believe in Everyone ...

within the Data and Insights function, you'll provide expert analysis of the student recruitment pipeline, from enquiry through to enrolment, using forecasting, scenario modelling and performance insight to identify risks, highlight opportunities and support informed decision-making across Recruitment, Admissions, Marketing and Academic teams. What … functions. Experience with CRM systems, applicant data or student recruitment platforms would be advantageous, as would knowledge of international student recruitment, marketing analysis or predictive modelling techniques. Why BIMM University We are a values-led organisation, meaning our core values underpin all that we do: Believe in Everyone ...

opportunities Develop dashboards and reporting frameworks that track retention, conversion, and customer lifetime value Support campaign targeting and personalisation through segmentation, cohort analysis, and predictive modelling Evaluate campaign effectiveness through pre- and post-analysis, measuring uplift, ROI, and channel performance Lead on customer satisfaction and advocacy analysis, using ...

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. ...

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 ...

stakeholders Your Skills & Experience Strong commercial Data Science experience in customer, marketing, ecommerce, loyalty, or subscription environments Advanced Python and SQL skills Experience building predictive models and deploying data-driven solutions Strong understanding of experimentation, statistics, and machine learning Excellent stakeholder management and communication skills Experience with Databricks ...

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. ...

Data Scientist III Excited to uncover insights from complex data and turn them into impactful business decisions? Do you enjoy building predictive models, experimenting with advanced analytics, and solving real-world challenges with data? About the team: LexisNexis Intellectual Property Solutions (LNIP) is the global leader in patent intelligence ...

management, strengthen decision-making, and support transformation objectives. By working closely with stakeholders across Risk, Technology, and the COO, the Data Scientist will integrate modelling, data management, and effective communication to enable evidence-based decisions and foster a data-driven culture within OTCR. Key Responsibilities Data Analysis & Modelling Conduct in-depth exploratory data analysis to identify trends, patterns, and anomalies across diverse datasets. Develop and deploy predictive models, machine learning algorithms, and statistical techniques, including natural language processing (NLP). Perform quantitative analysis to support scenario testing, stress testing, and thematic risk assessments. Ensure models ...

stakeholders Your Skills & Experience Strong commercial Data Science experience in customer, marketing, ecommerce, loyalty, or subscription environments Advanced Python and SQL skills Experience building predictive models and deploying data-driven solutions Strong understanding of experimentation, statistics, and machine learning Excellent stakeholder management and communication skills Experience with Databricks ...

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 ...

Winter 2027 or Spring/Summer 2028. Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics. Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.) Ability to communicate ...

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 ...

Algorithm Design: Apply, modify, and design advanced algorithms and mathematical models to extract meaningful insights from large data sets. Communication: Validate, document, and present modelling processes and performances, ensuring clarity for both technical and non-technical stakeholders. Collaboration: Work closely within a diverse team of data scientists, sharing knowledge … programming (Python preferred). Problem-Solving Skills: A scientific mindset with the ability to ask and answer the right questions. Specialised Knowledge: Experience in predictive modelling, operational research, deep learning, and time series modelling. Leadership Experience: Proven commercial experience working with business stakeholders, alongside a record of mentoring ...

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 ...

skills with thought leadership to deliver innovative pricing solutions that maximise value for both customers and the business. You'll provide technical leadership on modelling and optimisation, champion best practices, and coach team members to embed cutting-edge methodologies across the department. Ultimately, you'll play a pivotal role … 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 ...

leading and developing analytics, data science, or insight teams. Strong ability to translate complex data into clear business recommendations. Experience delivering analytical solutions, including predictive modelling, automation, or machine learning. Confident working with senior stakeholders and influencing data-driven decision making. Understanding of data governance, responsible ...

members Key Skills and Experience: Experience within general insurance pricing Extensive experience with GBMs and Elastic Net GLMs Experience with some of the following predictive modelling techniques preferred; GAMs, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark ...

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 ...