76 to 88 of 88 Predictive Modelling Jobs in the UK

Graduate Data Scientist, you will work on models that sit at the core of the business and support key commercial decisions. Develop predictive models across pricing, risk, and customer acquisition Build clustering and segmentation models to support strategic decision-making Analyse large and complex datasets to uncover actionable insights … Collaborate with analysts and engineers to deploy and productionise models Contribute to a greenfield modelling environment and help shape best practices Take ownership of projects with visibility across the wider business Your Skills and Experience Strong academic background in a STEM subject such as Mathematics, Data Science, Computer Science ...

recommendation engines, or Natural Language Processing (NLP) models to map employee skills profiles against text-heavy job descriptions and vacancies. Workforce Optimization Modeling: Build predictive optimization models that evaluate employee skills alongside geographic data and building costs to calculate the most cost-effective location strategy. Upholding Statistical Truth: Champion … SciPy, statsmodels). Experience with NLP frameworks (spaCy, HuggingFace, or text embeddings) is highly valued. Statistical Rigor: Solid foundation in applied statistics, including clustering, predictive modeling, regression, and algorithmic fairness evaluations. Exploratory Data Storytelling: Ability to visually explain algorithm performance (using Plotly, Seaborn, etc.) and present model logic transparently ...

Mathematics, Data Science, Computer Science, or a related quantitative field.\ NProven success in leading the design, development, and deployment of sophisticated predictive models.\ NExpertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch,\ NProven ability to design and implement complex machine learning solutions … solutions for complex challenges, solving problems without prescriptive approaches.\ NOverseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives.\ NDeveloping predictive models and algorithms using statistical techniques and machine learning.\ NConducting and supervising rigorous statistical validation of models against historical and live data.\ NCollaborating with ...

Mathematics, Data Science, Computer Science, or a related quantitative field.\ NProven success in leading the design, development, and deployment of sophisticated predictive models.\ NExpertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch,\ NProven ability to design and implement complex machine learning solutions … solutions for complex challenges, solving problems without prescriptive approaches.\ NOverseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives.\ NDeveloping predictive models and algorithms using statistical techniques and machine learning.\ NConducting and supervising rigorous statistical validation of models against historical and live data.\ NCollaborating with ...

Pricing Analyst - Modelling Location: Bristol area - 2 days per week onsite (hybrid) Salary: £30,000 - 45,000 If you love solving complex problems with data and building models that influence real business decisions, this could be the perfect next step in your career. Whether you've worked in pricing … banking, finance, analytics or another highly numerical environment, this is an opportunity to develop your modelling skills, learn from experienced pricing specialists and progress your career within one of the UK's leading consumer brands. Why join? This isn't a role where you'll simply produce reports ...

recommendation engines, or Natural Language Processing (NLP) models to map employee skills profiles against text-heavy job descriptions and vacancies. Workforce Optimization Modeling: Build predictive optimization models that evaluate employee skills alongside geographic data and building costs to calculate the most cost-effective location strategy. Upholding Statistical Truth: Champion … SciPy, statsmodels). Experience with NLP frameworks (spaCy, HuggingFace, or text embeddings) is highly valued. Statistical Rigor: Solid foundation in applied statistics, including clustering, predictive modeling, regression, and algorithmic fairness evaluations. Exploratory Data Storytelling: Ability to visually explain algorithm performance (using Plotly, Seaborn, etc.) and present model logic transparently ...

lipidomics/proteomics/metabolomics o clinical metadata and response data o SNP and risk features (where relevant) 2) Predict mechanism + response ● Build predictive models for: o molecule–microbe interactions o molecule–host pathway effects o omics signature prediction o clinical response forecasting o safety and developability scoring … discovery with an agreed split strategy (sample, cohort, and time splits) and reporting baseline ranking metrics (e.g., hit-rate@K, NDCG@K) ● Build initial predictive baselines with clear metrics Month 3–6: Modelling & Optimisation ● Implement multi-criteria scoring + optimisation with a defined objective, weighting strategy, and ablation ...

thinking and people leadership to shape the insurer's future risk capability. You'll likely bring: Extensive experience within insurance pricing, data science, catastrophe modelling, geospatial analytics or related risk functions. Strong household insurance experience. A track record of delivering predictive models, pricing features or data products into ...

Your Role as Data Scientist You'll work directly with our Founding Engineer (ex-Meta infrastructure) and the founders to build the data and modelling foundation at the core of Zendo's platform. You will own the full data lifecycle — from raw data centre data through to the predictive … Looking For MS or higher in statistics or machine learning, or equivalent experience (3-5 years in the industry). Experience building and evaluating predictive models — you care about accuracy and know how to measure it properly. Strong time-series background — you've worked with high-frequency, real-world ...

division’s technology roadmap, with a strong emphasis on AI, ML, and data platforms. Drive innovation in AI‐powered customer capabilities (e.g., personalization, predictive analytics, automation). Evaluate and integrate emerging technologies (LLMs, generative AI, real‐time decisioning systems) into the product ecosystem. Align technical strategy with business objectives … cloud infrastructure. Track record of leading cross‐functional teams (engineering, data science, product). Skills & Attributes Deep understanding of AI/ML technologies (predictive models, NLP, recommender systems, or similar). Strong architectural thinking with a pragmatic, hands‐on approach. Ability to balance innovation with operational reliability. Excellent communication ...

full accountability for transforming high-risk, critical enterprise crises into stabilized, high-growth accounts. The role goes beyond reactive remediation; you will architect the predictive methodologies, resource allocation strategies, and cross-functional feedback loops necessary to neutralize delivery risk before it impacts revenue. You will command a matrixed global … revenue successfully stabilized and retained annually. Systemic Risk Reduction: Measurable year-over-year decrease in accounts transitioning from moderate to high-risk due to predictive intervention framework efficiency. Operational Velocity (TTS): Reduction in average Time-to-Stabilization across the global portfolio without compromising delivery quality or customer satisfaction. Capital ...

Science and Engineering, and own the tradeoffs across model richness, latency, cost, and time-to-value. What you’ll bring • Deep fluency across the modelling stack, from supervised learning, propensity and uplift, to representation and embedding models, alongside modern LLM-based systems. You understand how predictive models ...

Engineering Manager | Oxford (Hybrid) | £100,000 + bonus + benefits The Company Join a fast-growing technology business using advanced software engineering and data modelling to solve some of the world's biggest challenges. Their products support major organisations in making complex, high-value decisions through innovative software platforms … predictive modelling. This is an opportunity to join a collaborative engineering function where people, technical excellence and continuous improvement are equally valued. Why join? Work on software that supports critical decision-making across global markets. Lead a well-established engineering function with genuine influence over culture, delivery and growth. ...