1 to 25 of 439 Predictive Modelling Jobs in the UK

summary Please note the provisional interview dates of 3rd and 5th November 2026. We are looking for a Predictive Modelling Analyst to join the analytical and population health intelligence function at NHS Essex ICB. This is an opportunity to use advanced statistical analysis to move beyond descriptive reporting … supports better decisions, more effective use of resources and improved outcomes for local communities. Main duties of the job You will develop and apply predictive, regression, forecasting, risk-stratification and scenario models to answer complex questions about population need, service demand, outcomes and resource use. You will analyse large ...

Manchester). As part of our Telematics Pricing team, you'll work alongside experienced pricing and telematics specialists, using behavioural data, advanced analytics, and predictive modelling to shape pricing strategy and drive commercial performance. Youll apply your technical expertise and pricing insight to influence key business decisions, improve … Hands-on experience working with telematics or other high velocity, high-volume sensor-based datasets using Python and SQL within cloud-based analytics environments Predictive Modelling Experience: Experience developing and deploying predictive models using Python and established data science methodologies would be advantageous Technical Skills & Tools: Experience ...

help shape the future of agriculture. Job Description Join our global analytics team within Product Biology & Sustainable Innovation and help shape the use of predictive science in Crop Protection R&D. As a Senior Data Scientist – Predictive Science, you will develop machine-learning and predictive-modelling … multidisciplinary teams to generate robust insights and accelerate complex decisions. This role offers the opportunity to work autonomously on high-impact scientific challenges, influence modelling approaches and data strategy, and collaborate with experts across an international research environment. What You Will Do Develop and validate predictive models based ...

ASSISTANT OR ASSOCIATE PROFESSOR (AI-ACCELERATED MESOSCALE MATERIALS MODELLING) The School of Engineering invites applications for an Assistant or Associate Professor position in AI-accelerated Mesoscale Materials Modelling in the Predictive Modelling research cluster within the School of Engineering, University of Warwick. The post … Research and Teaching Pathway. The successful applicant will pursue research that makes fundamental contributions to mesoscale modelling of materials while addressing real-world challenges of direct relevance to UK industrial strategy and the AI-for-Science agenda. We are particularly interested in AI-accelerated approaches that strengthen mesoscale modelling ...

lead a team of data scientists, who will assist them in the creation of data science solutions.AccountabilitiesYour responsibilities will include:Lead the delivery of predictive modelling projects from problem definition through development, validation, production integration and ongoing monitoring.Mastering Hastings’ systems, processes, and technology to maximise the effectiveness … your team.Identify, assess and prepare new data features, evaluating their predictive value, stability, interpretability and potential impact on customer pricing outcomes.Build and promote reusable, maintainable and reproducible modelling tools, pipelines and development practices.Lead a small team of data scientists, supporting their technical development and helping them deliver high ...

development and implementation of the People Directorate Digital, Data and AI Strategy. Deliver complex digital transformation and automation programmes. Develop advanced workforce analytics, predictive modelling and insight capabilities. Drive the adoption of AI technologies in a safe, ethical and transparent manner. Build digital capability and data literacy across … aligned to UHCWi Lean principles, focusing on efficiency, standardisation, and value. Advanced Analytics & Insight Lead the development of advanced workforce analytics capability, including: o Predictive modelling (e.g. absence, turnover, workforce demand) o Scenario planning and capacity modelling o Insight dashboards for operational and Board-level reporting Drive ...

setup to deliver success with world-class services and solutions. This role is part of an integrated Data & Analytics team across measurement & reporting, predictive modelling, data strategy solutions, covering media, CX, CRM and more. The focus is to act as the glue between clients, WPP teams … proposals and methodologies forData Planning; encompassing data-driven journey design, targeting personalisation, test and learnAnalytics & Data Science solutions; encompassing customer analytics (e.g. customer segmentation, predictive modelling), digital analytics (e.g. journey analysis, web/app, media analysis), business intelligence (e.g. dashboard reporting) and AI (e.g. conversational BI)Data & Analytics ...

ensure we are setup to deliver success with world-class services and solutions. This role leads an integrated Data & Analytics team across measurement & reporting, predictive modelling, data strategy solutions, covering media, CX, CRM and more. As such, you will need to organise, motivate and inspire to connect … data, AI, martech and adtech transformation roadmaps, measurement frameworks and associated operating model development. Analytics & Data Science solutions; encompassing customer analytics (e.g. customer segmentation, predictive modelling), digital analytics (e.g. journey analysis, web/app, media analysis), business intelligence (e.g. dashboard reporting) and AI (e.g. conversational BI) Inspire ...

successful candidate will help shape the evolution of Insights Hub from foundational time-series data visualisation and reporting through to advanced statistical analysis, modelling, machine learning and predictive analytics capabilities. The analytics capability is expected to evolve in stages, beginning with establishing access to manufacturing and test data … through time-series visualisation and traceability, before advancing into variable-to-variable correlations, process characterisation, feature engineering, statistical modelling, predictive analytics and machine learning. The successful candidate will play a leading role in defining and delivering this capability roadmap. In summary, the key deliverables for this role ...

advanced AI and Machine Learning solutions Building and implementing LLM and Generative AI applications Developing and training models for complex use cases Working with predictive modelling and Machine Learning techniques Taking models from development through to production Embedding AI/ML solutions into real-world business environments Solving … commercial experience within AI/Machine Learning Hands-on LLM/Generative AI experience Strong Python experience Experience developing and training complex ML models Predictive modelling/predictive Machine Learning experience Experience taking models into production environments Knowledge of MLOps and production ML practices Excellent analytical ...

enable data-driven decisions Lead performance marketing analytics activities, building out processes, documentation and priorities Take responsibility for the curation and automation of LTV Modelling to measure and predict Return On Investment Conduct analysis and deep-dives to help answer key questions surrounding marketing performance Develop and maintain reporting … with BI Team, and create self-service dashboards and tools for performance marketing Investigate and manage new methodologies and services such as Media Mix Modelling, SKAN, incrementality testing, predictive modelling, etc. Work with the Game Analytics team to analyse post-install dynamics of acquired users Track metrics ...

Solve the hard problems Lead on the technical development of algorithms and pipelines that will deliver against our strategic objectives. Iterate our modelling and optimisation capabilities, identifying the most appropriate techniques to enable continuous learning, expansion to novel mechanics, audiences and channels and the transition towards real-time decisioning. … projects where appropriate, leading junior colleagues and engaging with stakeholders. Embody and improve best practice Align to best practice across modelling, experimentation, deployment, and model lifecycle management. Coach through doing – pairing on code and demonstrating standards. Be an enthusiastic member of our community Become the recognised data science technical ...

too. Core skills we’re looking for to succeed in the role: Technical Pricing Expertise: Strong technical knowledge of motor insurance pricing, burn cost modelling, rating structures, underwriting risk and claims cost drivers, with experience of statistical modelling, predictive analytics or machine learning techniques within a general … frequency and severity models, loss ratio analysis, rating structure reviews and model enhancements. You’ll provide technical reviews and challenge to analytical outputs, ensuring modelling approaches, assumptions, data inputs and recommendations are appropriate, accurate and well documented. You’ll oversee the monitoring, maintenance and improvement of existing predictive ...

Analytics team members. Develop statistical and machine learning models to quantify mortality, morbidity, and disability risk. Apply techniques such as survival analysis, experience investigations, predictive modelling, and risk factor analysis. Generate insights that support underwriting, pricing, product development, and research initiatives. Collaborate with actuaries, underwriters, medical specialists … degree in Actuarial Science, Statistics, Mathematics, Data Science, Biostatistics, Epidemiology, or a related quantitative field. Experience analysing complex longitudinal datasets. Strong statistical modelling and analytical skills. Proficiency in Python, or R and SQL preferred. Experience with machine learning and predictive modelling techniques. Excellent problem-solving and communication ...

payback period, churn, retention, conversion rate, subscription growth, and channel ROI. Apply advanced analytics using SQL, Python, or R for cohort analysis, forecasting, predictive modelling, and Marketing Mix Modelling. Build and maintain dashboards and self-serve reporting in Tableau to support data-driven decision-making. Translate complex analysis … retention, churn, payback period, and cohort performance. Advanced SQL skills and experience working with large, complex datasets. Experience using dbt for data transformation, modelling, testing, and documentation. Strong Tableau experience, including building dashboards for senior stakeholders and non-technical users. Experience using Python or R for advanced analysis, predictive ...

execution. The role's purpose is to ensure the business gets the right solutions for the right needs, whether that's a dashboard, a predictive model, an AI-driven tool or an agentic solution, always focused on delivering optimal business outcomes rather than analytics for its own sake. This … development, deployment, and operationalization. Ensure business value realization and organizational adoption following implementation. Champion the selection of the right analytical approach (e.g., diagnostic analysis, predictive modelling, machine learning, AI automation) to solve each business problem, ensuring solutions are fit-for-purpose and add tangible value (e.g., improved loss ...

support better commercial decision-making Translate complex analytical findings into clear, actionable insight and recommendations Apply statistical and advanced analytical techniques including regression, clustering, predictive modelling and campaign measurement Have an understanding of techniques such as k-means, random forest and linear regression, with the ability to interpret … utilise modelling outputs Support forecasting and optimisation activity across the wider analytics function Work closely with stakeholders across customer, marketing, commercial and other business functions Help stakeholders make better decisions based on customer data and real-time events Communicate analytical findings effectively to both technical and non-technical audiences ...

client growth levers through insight‐led thinking. Data, Insights & Analytics Leadership Lead a high‐performing multi‐disciplinary data and insights organisation. Oversee analytics, reporting, predictive modelling, and data governance. Translate complex data into clear, actionable insights for senior leadership and clients. Ensure data is managed ethically, consistently … senior level. Strong commercial acumen, ideally within FMCG, retail, or agency environments. Deep expertise in data analytics, BI tools (Power BI, Tableau), predictive modelling, and large‐scale data ecosystems. Exceptional communication skills with the ability to simplify complexity. Experience in organisational transformation and embedding analytics at scale. Collaborative ...

Opportunity ShareForce is seeking an experienced, hands-on Data Science Lead on a contract basis to take ownership of four established predictive models and lead the transition of data science capability from a specialist external partner into the internal team. This is a delivery-focused role with a clear … remaining close to the data and models while providing direction and assurance to senior stakeholders. Key Responsibilities Take end-to-end ownership of four predictive models, covering development, validation, deployment, monitoring, documentation and optimisation. Lead the transfer of technical knowledge, processes and model ownership from an external specialist partner ...

dive analysis to identify opportunities and risks Leading customer segmentation and profiling projects to better understand customer behaviour Applying advanced analytical techniques including clustering, predictive modelling, regression analysis and campaign measurement Translating complex analysis into clear, actionable recommendations for senior stakeholders Building strong relationships across the business … Skills & Experience Strong commercial experience in customer analytics, customer insight or CRM analytics Advanced SQL skills Strong data visualisation experience Experience delivering segmentation, clustering, predictive modelling and campaign measurement Understanding of techniques such as k-means clustering, random forest and regression analysis Excellent stakeholder engagement and communication skills ...

development and implementation of the People Directorate Digital, Data and AI Strategy. Deliver complex digital transformation and automation programmes. Develop advanced workforce analytics, predictive modelling and insight capabilities. Drive the adoption of AI technologies in a safe, ethical and transparent manner. Build digital capability and data literacy across … Lean principles, focusing on efficiency, standardisation, and value. Advanced Analytics & Insight Lead the development of advanced workforce analytics capability, including: Scenario planning and capacity modelling Insight dashboards for operational and Board-level reporting Drive data-informed decision-making across the People Directorate. For further details please see the attached ...

Pricing and Proposition team within the Telematics Pricing function. Based mainly at home with Manchester/West Sussex options, the role focuses on predictive modelling, risk segmentation and strategic pricing support across high-volume telematics data. The successful candidate will combine advanced analytics with pricing governance, using Python ...

month fixed-term contract in Nottingham. You will turn complex data into compelling stories that influence business outcomes, using segmentation and predictive modelling to drive smarter decisions and measurable growth. The role is hybrid (Nottingham-based, 40% in the office) and involves owning projects end-to-end, managing ...

value Leading customer reporting and deep-dive analysis Turning complex data into clear, commercial recommendations for senior stakeholders Driving advanced analytics, including segmentation, clustering, predictive modelling and campaign measurement Leading customer profiling to identify behavioural trends, opportunities and risks Acting as a trusted analytics partner to stakeholders across … need strong SQL and data visualisation skills, as well as hands-on experience with advanced techniques such as segmentation, clustering, regression and predictive modelling (for example k-means and random forest). Strong stakeholder communication is essential, as this role involves influencing senior teams across the business. Line ...

portfolio. Identify and validate opportunities for growth, innovation and portfolio development. Shape the portfolio’s evolution for an AI-enabled future, using Data Science, predictive modelling and automation to improve products and customer outcomes. Translate customer, market, regulatory and business needs into clear priorities and investment choices. Build … clear priorities, roadmaps and outcomes. Strong commercial judgement and experience contributing to business cases or investment decisions. Experience working with data, analytics, Data Science, predictive modelling, automation or AI-enabled products. Strong communication and influencing skills, including with senior stakeholders. Experience partnering with Technology, Data Science or delivery ...