23 of 23 Remote/Hybrid Predictive Modelling Jobs in the UK excluding London

model packaging decisions across multiple markets. As this platform evolves, there’s a clear opportunity to go further - moving beyond reporting and compliance into predictive modelling, optimisation, and AI-driven decision support. This role will play a key part in enabling that shift, ensuring the data platform … scalable, traceable, and aligned to both regulatory and product needs. As the platform matures, you’ll also help enable more advanced capabilities, including predictive modelling, scenario optimisation, and machine learning use cases, ensuring the data foundations are built to support them properly. What You’ll Be Doing ...

join a well established data and analytics consultancy where data science sits at the heart of client delivery. You will work on commercially meaningful modelling projects, have regular exposure to end clients, and see your work directly influence real world decision making across large consumer datasets. The Company They … specialist data and analytics consultancy that combines proprietary data assets with advanced analytics and modelling expertise. Operating as a solutions led partner, they support organisations across sectors such as utilities, telecommunications, financial services and the not for profit space. Their work focuses heavily on predictive modelling ...

Company They are a UK based data and analytics consultancy that also develops proprietary data products. Combining rich data assets with advanced analytics and modelling expertise, they support organisations to make smarter, more targeted decisions. Their work spans sectors such as utilities, telecoms, financial services and not for profit … organisations, with a strong focus on predictive modelling for marketing and customer insight. The Role Build and refine predictive models, with a strong focus on propensity and scorecard style modelling. Translate client problems into analytical solutions through data discovery and stakeholder workshops. Work closely with subject matter ...

broad range of projects and industries. The role: Deliver insight and analysis that supports data driven marketing and commercial decision making. Build and apply predictive models and machine learning techniques to optimise client strategies. Prepare, cleanse, and manipulate data from multiple sources to ensure it is analysis ready. Translate … commercial experience in data analysis or data science. Confident using Python or R for statistical analysis and modelling. Solid understanding of statistical methods and predictive modelling techniques. Experience working with SQL and data visualisation or BI tools. Ability to communicate insight clearly and work collaboratively with a range ...

will sit within a marketing measurement and reporting team, focusing on understanding and improving marketing performance across channels. This role combines hands on modelling with real business impact. Key responsibilities include: Developing and enhancing media mix models to measure and optimise marketing investment. Scaling an established UK modelling framework and applying it to international markets. Leading the evolution of marketing effectiveness modelling, with support and one direct report. Working closely with marketing, CRM, and analytics stakeholders to turn insights into action. Contributing to wider data science projects such as experimentation, propensity modelling, and recommendation systems. ...

Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior 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 ...

Supporting the development of new reporting solutions alongside existing BAU delivery Contributing to a longer-term data science roadmap, including exposure to ML and predictive modelling What we're looking for: 3–5 years' experience in a customer, marketing, or commercial analytics role Strong SQL skills — essential Power ...

patterns Building dashboards and reports to support business decisions Working with stakeholders to understand data requirements and deliver insights Supporting the development of predictive models and data driven strategies Using tools such as Excel, SQL, and Python to manipulate and analyse data Presenting findings in a clear and commercially ...

Bridge hybrid, £65,000 plus benefits A great opportunity to take on a strategic Lead Data Analyst role where you will work across experimentation, modelling and BI projects, while shaping long term data strategy and supporting complex digital marketing programmes. The Company They are a high growth data … combining analytics, data science and engineering to drive measurable, sustainable growth for well known brands. Their work spans digital marketing data, advanced measurement and predictive modelling, with strong access to client datasets and a culture centred on technical excellence. The Role * Lead analytical work across experimentation, causal inference ...

following: Excel for BI, Tableau, Power BI Skilled in SQL and ideally Python, demonstrated through real-world projects. Practical knowledge of predictive modelling (e.g., regression, decision trees) and time series forecasting (e.g., SARIMA). Solid understanding of statistical methods and their applications. Proven experience applying data and advanced ...

following: Excel for BI, Tableau, Power BI Skilled in SQL and ideally Python, demonstrated through real-world projects. Practical knowledge of predictive modelling (e.g., regression, decision trees) and time series forecasting (e.g., SARIMA). Solid understanding of statistical methods and their applications. Proven experience applying data and advanced ...

following: Excel for BI, Tableau, Power BI Skilled in SQL and ideally Python, demonstrated through real-world projects. Practical knowledge of predictive modelling (e.g., regression, decision trees) and time series forecasting (e.g., SARIMA). Solid understanding of statistical methods and their applications. Proven experience applying data and advanced ...

Role Design, develop and enhance AI and machine learning models to support client and internal projects. Apply AI techniques such as LLMs, transformers and predictive modelling to real-world business problems. Contribute to research and development initiatives, including new product and model innovation. Work closely with stakeholders across … integrate AI into decision-making. Present insights and recommendations clearly to technical and non-technical audiences. Support and guide others on best practice in modelling and analytical approaches. Your Skills and Experience Strong commercial experience in credit risk within a lender, fintech or credit-focused data organisation. Proven capability ...

platform backbone - identity, auth, entitlements, billing, and the infrastructure everything else depends on. Intelligence is the layer above the data - AI-powered insights, predictive models built on Databricks and Snowflake, anomaly detection, and agentic features. This is a full-stack role. You'll own features from the data layer ...

Design, develop and enhance AI and machine learning models to support lending and credit decisioning. Work on a wide range of AI initiatives including predictive modelling, scorecards, chatbots and transformer based approaches. Carry out research and development to explore how AI can be used as an alternative … improved solution to existing processes. Contribute to new product innovation, including the development of new predictive models and tools. Collaborate with stakeholders across data, analytics and the wider business to embed AI into client work and internal projects. Present technical concepts and findings clearly to both technical ...

analytics capability, working closely with teams across the business to improve data quality, accessibility and decision making. You will analyse complex datasets, build predictive models and translate insight into outcomes that support both commercial and operational confidence. Responsibilities * Collect, process and analyse large, complex datasets to identify trends, risks … opportunities * Design, develop and maintain data models, algorithms and predictive analytics solutions * Create dashboards and reports in Power BI to clearly visualise insights and performance metrics * Work collaboratively with cross functional teams and stakeholders to deliver data driven solutions Requirements * Degree in Data Science, Computer Science, Statistics ...

business and technical expertise. Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions Package, summarize, visualize and perform storytelling on analytical findings and results for management … team. Good communication and presentation and visualisation skills. Strong experience in a related analytical role Proven track record of designing and developing predictive models in real-world applications Experience with model performance evaluation and predictive model optimization for accuracy and efficiency Cloud certification strongly preferred Additional role-based ...

role in shaping data-driven commercial strategy across their Education business. This is a highly impactful opportunity focused on building sophisticated market intelligence and predictive analytics models that directly influence go-to-market strategy, customer growth and long-term revenue planning. The role sits within a cross-functional environment … dynamics, including subscription models, institutional procurement structures and consortium purchasing behaviours. Build scalable end-to-end data pipelines incorporating customer attributes, behavioural signals and predictive model outputs. Develop and enhance propensity models to optimise customer acquisition and education-focused sales strategies. Deliver strategic insights and market opportunity analysis ...

month contract. Responsibilities: Own the development and implementation of data models, analytics frameworks, and experimentation strategies across the platform. Develop segmentation and predictive models to support personalization and proactive member engagement based on demographics, behavior, and interaction activities etc. Design and analyze experiments (A/B testing, cohort studies … skills and experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data visualization and BI tools ...

drive measurable impact. The Role Deliver data science within a pricing-focused environment, influencing rates, tariffs and overall market competitiveness Design, build and refine predictive models to better understand risk, customer behaviour and price sensitivity Identify and integrate new data sources to improve pricing accuracy and decision making … simulation and modelling techniques to estimate outcomes such as claim frequency and customer responses to price changes Translate complex analysis into clear, commercially focused recommendations for senior stakeholders Your Skills & Experience A strong academic background and Masters degree in a STEM discipline such as mathematics or physics Advanced analytical ...

surface actionable insights for school leaders in seconds.They are in a high-growth phase, backed by Innovate UK funding, with a roadmap spanning predictive analytics, supplier intelligence, and international expansion. The team is mission-driven, remote-first, and growing quickly - every hire has very meaningful impact.They are looking … Senior Data Scientist to lead the predictive analytics capability and their critical programme.You’ll design feature engineering pipelines, select and validate classification and regression models, and establish rigorous evaluation methodology (targeting AUC-ROC 0.85) across a 300M+ point education dataset.You’ll be the senior technical lead for ML research ...

Role overview As a Senior 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 ...

capabilities and embedding innovation across the business. THE ROLE As an AI Consultant you will focus on developing AI-driven solutions and enhancing modelling capabilities to support client projects and internal innovation. Specifically, you can expect to be involved in the following: Develop and enhance AI and machine learning … models, including scorecards and predictive models. Work on innovative use cases such as chatbots, transformers, and LLM-based applications. Conduct research and development to identify new AI-driven solutions in lending and risk. Contribute to new product development and AI-led offerings. Support the integration of AI into broader ...