51 to 75 of 75 Predictive Modelling Jobs in England

what growth activity to invest (Marketing Mix Models) and how to reduce the uncertainty on marketing measurement\ N\n\nYou willdo this by developing predictive models to calculate Customer Lifetime Value (LTV), aiding in the prioritization of marketing efforts and resource allocation.\ N\n\nYou willmodel customer behaviour data ...

other BI tools. Partner with business teams to understand data needs and translate them into technical designs. Exposure to pricing frameworks, financial modelling, or actuarial concepts. Understanding of regression models, forecasting techniques, or predictive models. Ability Ability to partner with modelling teams to support data prep … model deployment. Experience in pricing, modelling, actuarial data, or financial analytics. Exposure to Python, R, or SQL-based analytical workload Your Skills: 5–10+ years of hands-on SAS programming experience. Advanced skills in: Base SAS SAS Macros SAS SQL Data Step programming SAS Enterprise Guide or SAS Studio ...

elevate campaign management for client facing teams. As an AI/ML Engineer, you will be responsible for researching, designing, building, and automating predictive models, as well as establishing metrics to monitor model performance and accuracy. You bring strong communication and analytical skills, work effectively both independently and within … code, and you are capable of implementing a wide range of data extraction, transformation, and storage methodologies. Your expertise enables you to develop new predictive models while also enhancing and optimizing existing ones. In this role, you will break down complex requirements into structured, actionable tasks. As part ...

enabled offerings. Deliver best‐in‐class data science and AI capability reviews, helping clients assess maturity, identify opportunities, and design practical AI roadmaps. Build predictive models, analytical tools, and data products using a wide range of machine learning, statistical, and data science techniques across structured and unstructured data. Leverage … orchestration AI evaluation frameworks Neuro symbolic frameworks Experience with major cloud platforms such as Azure or AWS Strong understanding of machine learning and statistical modelling principles, with the ability to explain model behaviour, assumptions, and trade offs Experience working with real world structured and unstructured data, and building robust ...

Lead Data Scientist We are seeking an experienced Lead Data Scientist to join a high-impact team developing predictive analytics and data products within a regulated financial services environment. Location - London Contract – Inside IR35 Working Pattern - Hybrid Skills & Experience This role will focus on transforming large-scale customer datasets … into robust, auditable predictive models, supporting forecasting, risk analysis and commercial data products. Key skills & experience Strong Python (Pandas, NumPy, Scikit-learn) and SQL skills. Experience with Snowflake or similar cloud data platforms. Proven track record building predictive models in regulated financial services environments. Credit risk modelling ...

driven environment where your work will directly influence commercial outcomes. You will be given real ownership from day one, working on impactful pricing and modelling challenges while receiving structured support to accelerate your development. The Company They are a fast-growing European business operating at the intersection of data … complex problems. The Role You will join a specialist pricing and underwriting team, applying advanced analytics to drive business performance. Key responsibilities include: Developing predictive models to improve pricing strategies and risk assessment Analysing complex datasets to identify trends, opportunities, and insights Exploring new data sources to enhance model ...

clinical development, aligned with program and portfolio objectives. Identify high‐impact use cases across the clinical pipeline (e.g. patient segmentation using multimodal data, and predictive models for disease progression, treatment response, and clinical outcomes in priority diseases). Be a standard bearer for data science and software engineering best … Machine Learning. Peer‐reviewed publications in major AI conferences. Experience with foundation models, representation learning, and transfer learning on biomedical data. Multimodal modelling across structured, unstructured, and imaging data. Time series modelling. #J-18808-Ljbffr ...

role in delivering advanced analytics and data science solutions, helping to turn complex datasets into actionable insights. Key responsibilities include: Developing and deploying predictive models and statistical analysis Working with large, complex datasets to identify trends and insights Collaborating with data engineers and stakeholders to shape data solutions Supporting … Data Scientist in complex or regulated environments Strong skills in Python (or similar) and data science libraries Experience with machine learning, statistical modelling and data analysis Ability to communicate technical findings to non-technical stakeholders Experience in public sector or government environments is highly desirable What's on Offer ...

with major advertising ecosystems, leveraging large-scale datasets to drive smarter decision-making for their clients. The Role Lead the development of optimisation and predictive models for digital advertising campaigns Design and refine bidding algorithms within auction-based environments Build prototypes in Python and partner with engineering to productionise … High proficiency in Python and experience with machine learning frameworks Comfortable working with large, complex datasets and feature engineering techniques Understanding of auction-based modelling, pricing optimisation, or bidding systems Exposure to production environments and willingness to work with Kotlin Background in AdTech, marketing analytics, or similar data-rich ...

Leadership: Directly manage, mentor, and provide strategic guidance to the Senior Data Scientist and Senior Data Analyst, ensuring best practices are maintained across both predictive modeling and business intelligence. Hands-on Technical Support: Actively participate in the technical work. Provide direct support in developing machine learning models, building complex … subsequent teams. Key Criteria: A practical background in both the data science and advanced analytics spaces, where you have demonstrated the ability to deploy predictive models and generate actionable business insights. Strategic Leadership: Proven experience defining data roadmaps, managing team capacity, and guiding the overarching direction of technical teams. ...

rare opportunity to apply Bayesian statistics, machine learning and scientific computing to genuinely complex, real-world challenges across sustainable industry, molecular discovery, optimisation and predictive modelling. This is not a generic machine learning role and its not another business building around off-the-shelf AI. This organisation has built … intersection of research and commercial impact, this is a role worth exploring. The Data Scientist Opportunity As a Data Scientist, youll work on advanced modelling and scientific computing projects that combine Bayesian inference, probabilistic modelling and machine learning with practical commercial applications. Youll contribute to both client-facing ...

rare opportunity to apply Bayesian statistics, machine learning and scientific computing to genuinely complex, real-world challenges across sustainable industry, molecular discovery, optimisation and predictive modelling. This is not a generic machine learning role — and it’s not another business building around off-the-shelf AI. This organisation … research and commercial impact, this is a role worth exploring. The Data Scientist Opportunity As a Data Scientist, you’ll work on advanced modelling and scientific computing projects that combine Bayesian inference, probabilistic modelling and machine learning with practical commercial applications. You’ll contribute to both client-facing ...

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. ...