76 to 100 of 105 Statistical Modelling Jobs in the UK

combines deep technical MMM expertise with strong client-facing and stakeholder management skills. The Role You'll lead the delivery of Marketing Mix Modelling (MMM) projects for a range of clients, while helping shape the direction and capabilities of a growing data science team. Key responsibilities include: Designing, building … impact Ensuring models are robust, reliable and commercially relevant Acting as a trusted advisor to clients, presenting insights and strategic recommendations Balancing hands-on modelling work with project leadership and stakeholder engagement Mentoring and managing junior team members Contributing to the growth and development of the wider data science ...

Manager, Data Science to join a growing UK-based data team. This is an opportunity to work with leading brands, delivering advanced Marketing Mix Modelling (MMM) projects that help clients understand what really drives business performance. The Role You'll play a key role in building and delivering … facing delivery About You Around 3+ years' experience in Data Science, Analytics or Marketing Science Strong Python skills Practical experience with MMM methodologies and statistical modelling Familiarity with open-source MMM frameworks (Meridian, Robyn, PyMC or similar) Comfortable working directly with clients and presenting insights Agency or marketing ...

Senior Data Scientist for the Sports Modeling team to develop models and data-driven solutions that enhance the Sportsbook experience. Responsibilities include building statistical and machine learning models in Python, engineering data assets, and collaborating with Trading, Product, Engineering, and QA to deploy models into production while mentoring junior ...

storytelling. You'll also: Partner with senior leaders, HR teams and business stakeholders to understand analytical requirements. Deliver advanced analytics including trend analysis, forecasting, statistical techniques and data modelling where appropriate. Translate complex workforce data into clear, actionable recommendations that support business decision-making. Develop and enhance Power … development and data visualisation. Strong Excel skills and experience working with HR data extracts. Experience applying analytical techniques such as trend analysis, forecasting and statistical analysis. Excellent stakeholder management skills, with the ability to communicate insights to both technical and non-technical audiences. Strong attention to detail and experience ...

Hours: 37.5/week An established organisation is seeking a Data Scientist to join a forward-thinking data function focused on advanced analytics predictive modelling plus data-driven decision support. This role offers the opportunity to work on complex high-value problems using modern data science tooling within … comfortable working across the full lifecycle from data exploration through to model development validation plus deployment support. Responsibilities for the Data Scientist: Develop statistical models machine learning solutions analytical frameworks to address complex business problems Explore large structured semi-structured datasets to identify patterns trends predictive signals Build test ...

performing and re‐performing loan (NPL/RPL) securitizations and whole loan portfolios within private structures Emphasis on loan‐level and cashflow modelling across illiquid mortgage credit, including collateral analysis, recovery assumptions and structural waterfalls REQUIREMENTS Masters degree or PhD in Mathematics, Physics (non‐experimental), Probability/Statistics, Engineering … Mathematical) Finance Must have a familiarity with mortgage products, Intex and data analysis or empirical modelling is a strong plus alongside asset‐backed structured products Minimum of 3 years of relevant professional experience at a top sell‐side or buy‐side institution in a front office quantitative role Exceptional ...

wants genuine ownership rather than being one of many data scientists in a large, siloed team. What You'll Be Doing Designing and building statistical and machine learning models that solve real commercial problems around pricing, loyalty and customer behaviour Writing efficient, well-tested SQL and Python to explore … monitor their performance Designing and interpreting experiments (A/B tests and similar) to validate impact Requirements: Strong Python skills for data analysis and modelling, plus solid commercial experience with SQL Experience building statistical or machine learning models and working with data in a cloud environment (AWS, Azure ...

hackajob is collaborating with Barclays to connect them with exceptional professionals for this role. Join us at Barclays as a Data Modelling Vice President (VP). We’re looking for a senior Data Modeller to define, lead, and evolve the conceptual, logical, and physical data architectures that power … strategic data products across BUK. In this role, you’ll set the modelling direction for multiple domains, ensure semantic and regulatory alignment, and translate complex business and regulatory needs into high quality, scalable data models. You’ll work closely with Product, Engineering, Architecture, and Controls teams to build models ...

Description Purpose of the role To design, develop, implement, and maintain various statistical, mathematical and machine learning models to support decision‐making by analysis and solving complex problems. Accountabilities Acquisition and collection of data from various sources, including internal databases, external datasets, and real‐time feeds. Performing data cleaning … quality and suitability for model development. Design and implementation of data management strategies for model maintenance and future development. Designing, development, and implementation of statistical and machine learning models for various applications, including credit risk assessment, fraud detection, customer segmentation, and marketing optimisation. Monitoring model performance in real‐time ...

such as scikit‐learn, TensorFlow, or PyTorch. Proven ability to design and implement complex machine learning solutions and guide best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large‐scale production environments. Track record … problems without prescriptive approaches. Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives. Developing predictive models and algorithms using statistical techniques and machine learning. Conducting and supervising rigorous statistical validation of models against historical and live data. Collaborating with trading teams to incorporate ...

such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track record … problems without prescriptive approaches. Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives. Developing predictive models and algorithms using statistical techniques and machine learning. Conducting and supervising rigorous statistical validation of models against historical and live data. Collaborating with trading teams to incorporate ...

such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track record … problems without prescriptive approaches. Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives. Developing predictive models and algorithms using statistical techniques and machine learning. Conducting and supervising rigorous statistical validation of models against historical and live data. Collaborating with trading teams to incorporate ...

translate complex business requirements into pragmatic technical designs and to influence stakeholders at all levels. About Willis Re We combine specialist broking with analytics, modelling and research to help insurers optimise risk transfer, strengthen balance sheets and achieve sustainable growth. Our approach is relationship‐driven, transparent and outcome‐focused. … portfolio optimisation and capital management. The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis ...

Data Scientist to translate organizational challenges into scalable, high-impact analytical solutions. In this role, you will act as a subject matter expert-developing statistical models, optimizing data pipelines, establishing evaluation metrics, and delivering actionable insights that directly influence product retention, churn, and overall growth. Key Responsibilities Insight & Modeling … What We're Looking For Experience: 5+ years of relevant data science experience, with strong proficiency in Python . Core Competencies: Deep understanding of statistical concepts, data intuition, and problem framing. Visualization: Demonstrated experience building data dashboards and automated reporting tools. Leadership & Communication: Exceptional active listening and stakeholder management ...

well as job-specific technical skills. This role is based in Glasgow. Purpose of the role To design, develop, implement, and maintain various statistical, mathematical and machine learning models to support decision-making by analysis and solving complex problems. Accountabilities Acquisition and collection of data from various sources, including … quality and suitability for model development. Design and implementation of data management strategies for model maintenance and future development. Designing, development, and implementation of statistical and machine learning models for various applications, including credit risk assessment, fraud detection, customer segmentation, and marketing optimisation. Monitoring model performance in real-time ...

partner with senior leaders across Marketing, Growth, Finance and Engineering to establish a best-in-class marketing measurement function. From Marketing Mix Modelling and experimentation to attribution, mobile measurement and marketing technology, you'll ensure the business has one trusted view of marketing performance and the confidence to make … Marketing Engineering, creating the culture, standards and operating model for a new function. Own end-to-end marketing measurement, bringing together Marketing Mix Modelling, attribution, mobile measurement and platform reporting into a single source of truth. Lead and evolve Omaze's Marketing Mix Modelling programme, ensuring outputs directly ...

partner with senior leaders across Marketing, Growth, Finance and Engineering to establish a best-in-class marketing measurement function. From Marketing Mix Modelling and experimentation to attribution, mobile measurement and marketing technology, you\'ll ensure the business has one trusted view of marketing performance and the confidence to make … Marketing Engineering, creating the culture, standards and operating model for a new function. Own end-to-end marketing measurement, bringing together Marketing Mix Modelling, attribution, mobile measurement and platform reporting into a single source of truth. Lead and evolve Omaze\'s Marketing Mix Modelling programme, ensuring outputs directly ...

productionise scalable end-to-end data pipelines incorporating normalised customer attributes, behavioural signals, and finalised rSAM outputs. Combine the EDU rSAM with advanced propensity modelling techniques to optimise education-focused sales motions and accelerate customer growth opportunities. Deliver high-impact strategic insights on market opportunity sizing and customer propensity … strong track record in querying, cleansing, integrating, and analysing complex datasets at scale, ideally within Databricks environments. Strong Python capabilities for data manipulation, statistical analysis, and predictive modelling. Demonstrated success in developing, validating, and continuously optimising data science models that directly contribute to revenue growth and commercial performance. Experience ...

Lead product analytics projects from problem definition through to recommendation Design, analyse and evaluate A/B tests and experimentation frameworks Apply statistical techniques and modelling to solve product challenges Analyse customer and user behaviour using rich event-level data Partner with Product Managers, Engineers, Marketing and senior … Skills & Experience Strong SQL skills Python (PySpark experience is beneficial) Experience in Product Analytics Strong knowledge of A/B testing and experimentation Excellent statistical analysis skills, with exposure to modelling techniques Experience analysing behavioural or digital product data Ability to communicate insights to both technical ...

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 ...

dunnhumby's next-generation models across a range of strategic AI initiatives. As part of this newly formed team, you'll focus on advanced modelling, long-term capability building, and cross-industry collaboration. You'll design new approaches, build and test prototypes, support engineering teams with productionisation, and contribute … data science teams on ML adoption and best practices. Work with leading academic groups and private-sector research partners to co-develop new modelling approaches, run joint experiments, or explore cutting-edge AI applications. Mentor other data scientists and contribute to growing organisational capability in deep learning and advanced ...

dunnhumby's next-generation models across a range of strategic AI initiatives. As part of this newly formed team, you'll focus on advanced modelling, long-term capability building, and cross-industry collaboration. You'll design new approaches, build and test prototypes, support engineering teams with productionisation, and contribute … data science teams on ML adoption and best practices. Work with leading academic groups and private-sector research partners to co-develop new modelling approaches, run joint experiments, or explore cutting-edge AI applications. Mentor other data scientists and contribute to growing organisational capability in deep learning and advanced ...

platform teams to inform experimental design and interpret results Work resourcefully with internal/external datasets to contextualize findings and strengthen conclusions Apply statistical and systems modeling to develop deeper understanding of product and platform attributes and performance. Apply and promote best practices in data structuring, annotation, and metadata … experience analyzing multifaceted biological datasets in biotech, pharma, or academia Firsthand experience working in CAR-T or RNA therapeutics. Demonstrated experience ing modeling (statistical, system) to biological data. Strong expertise in high-dimensional data analysis (e.g., RNA-seq, single-cell, in vivo studies) with the ability to transform ...

this role, you will work on implementing advanced sports models, refining data assets, and ensuring seamless integration into applications. What You'll Do Create statistical and machine learning models and integrate them into data science applications. Collect and engineer sports data assets to assist in model development. Implement … orchestration platforms such as Kubernetes Experience with the machine learning lifecycle (experimentation, reproducibility, deployment, monitoring, retraining) Solid grasp of data science principles and statistical modeling techniques, preferably with experience building statistical or machine learning models for sports Demonstrated passion for sports and a strong understanding of relevant leagues ...

Azure ML or Databricks experience for model lifecycle management• Regulatory knowledge in at least one sector: financial services (preferred), healthcare, insurance or utilities• Strong statistical knowledge: model validation methodology, bias metrics, performance measures and statistical testing• FRM, CFA, PRM or equivalent quantitative qualification is advantageous• FCA/ ...