1 to 25 of 26 Remote/Hybrid Statistical Modelling Jobs in the UK

work across areas including oncology, immunology and neurodegeneration. This role would suit a scientist-turned-coder or scientific data scientist with strong Python skills, statistical modelling experience and a background working with bioassay or experimental biology data. The Role You will build and improve Python-based analytical pipelines … understand assay logic, experimental design and data handover processes, then translate those workflows into automated, reproducible analysis pipelines. The work will involve dose-response modelling, curve fitting, QC, normalisation, plate-level statistics and data validation, helping scientists generate clearer, faster and more reliable insight from complex experimental data. ...

site each month. however, remote options will be considered for the right candidate. What you can expect from the Role Advanced Analytics and Modelling Develop predictive models (e.g. customer lifetime value, propensity, response modelling) Apply segmentation and clustering techniques to refine customer targeting Build attribution and measurement frameworks … engagement, revenue and profitability Collaboration & Capability Building Act as a technical expert within the analytics team, supporting analysts and stakeholders Promote best practice in statistical methods, experimentation and modelling Contribute to building a data-driven culture across the business What we expect from you Proven experience in Data ...

research challenges. The Role and Deliverables Design, build, and maintain Python-based analytical pipelines for a range of experimental and bioassay data. Implement robust statistical and modelling workflows, including quality control, normalisation, and curve fitting. Translate scientific workflows into reproducible, automated analysis processes. Partner closely with laboratory-based … Experience Strong experience using Python for scientific or analytical software development. Proven capability analysing complex, structured experimental or assay-style datasets. Solid understanding of statistical modelling, curve fitting, and data quality control. Experience building end-to-end data or analysis pipelines with a focus on reproducibility. Comfortable using ...

through data-driven insight and technical modelling. You'll work closely with experienced pricing specialists and cross-functional teams, supporting live pricing decisions through modelling, forecasting, optimisation and analysis. The Role As a Technical Pricing Analyst, you'll be involved in: Building and enhancing pricing models to predict customer … optimisation activity Developing forecasting models and monitoring performance against forecasts Preparing, validating and reconciling datasets to support robust pricing analysis Exploring new data sources, modelling techniques and analytical tools Monitoring model performance and recommending improvements where required Working closely with Pricing, Finance, Marketing, Insights and Compliance teams Supporting pricing ...

bring Strong track record delivering end-to-end data science solutions (preferably B2C) in cloud environments. Deep expertise in machine learning and statistical modelling, with proven impact in areas like personalisation, churn, pricing, and optimisation. Ability to quickly understand a business objective, problem solve to create an analytical ...

large retail organisation undergoing a significant data and AI transformation. With a new customer loyalty programme launching this year, demand for advanced modelling, forecasting and personalisation is growing quickly. The culture is collaborative, inclusive and pragmatic, with a strong focus on delivering value at pace rather than over-engineering … Scientist, and wider data and commercial teams. Key responsibilities include: Designing and building customer-focused Data Science use cases such as segmentation, lifetime value modelling and demand forecasting Developing, testing and deploying machine learning models end to end, from problem definition through to production Contributing to the development ...

across feature engineering, training, validation, and ongoing performance monitoring. * Work closely with application and logic developers to embed models into operational decision workflows. * Develop statistical and machine learning models for personalisation, propensity scoring, and next-best-action use cases. * Design and run experiments, including A/B testing … client-facing or consulting environments. * Advanced capability in Python and or R, with hands-on use of modern machine learning libraries. * Deep understanding of statistical modelling, experimentation, and model evaluation techniques. * Experience deploying and operating models on cloud platforms such as AWS, GCP, or Azure. * Proven ability ...

focus, with continued expansion of their analytics function. The Role You will sit within the pricing and underwriting data science team, working on core modelling challenges that directly influence commercial performance. Responsibilities include: Developing and improving pricing models to optimise competitiveness in the market Identifying and integrating new data … sources into modelling approaches Building predictive models to simulate customer behaviour and risk outcomes Enhancing tariff structures and pricing strategies using advanced analytics Collaborating with cross functional teams to drive customer acquisition and growth Applying logical reasoning and structured thinking to complex business problems Your Skills and Experience Strong ...

looking for Proven experience leading data science teams ideally within a consulting or client facing environment Strong expertise in machine learning advanced analytics and statistical modelling Experience delivering data science solutions in commercial environments with measurable impact Ability to translate complex business problems into data modelling ...

using a combination of Node-RED, MQTT, Telegraf, Linux, Python, InfluxDB and TimescaleDB. Experience with integration of 3rd-party systems Experience with statistical modelling, ML optimisation & forecasting Strong data analytics skills Experience in early-stage start-ups, consulting, or high-growth environments where you've navigated ambiguity ...

applied across the organisation. You will be responsible for translating complex analytical outputs into clear, commercially focused recommendations, helping establish best practices across experimentation, modelling, MLOps, and data science delivery, and supporting the long-term evolution of the organisation's AI and data science capability. This is a leadership … needed. Skills and Experience Previous experience leading or managing Data Science teams in a commercial environment Strong background in machine learning, advanced analytics, or statistical modelling Strong stakeholder management skills with the ability to influence senior leadership Experience delivering data science products and models into production environments ...

supply-demand forecasts as well as modeling the global energy flows and tanker fleet distributions. The team has built a variety of procedural, statistical and machine learning models that enabled us to provide the most accurate and comprehensive view of energy flows. We take pride in applying cutting-edge ...

Artificial Intelligence Data Science Or equivalent commercial experience Proven experience building or leading AI-enabled assessment or measurement systems Deep expertise in validation methodologies, statistical modelling, and measurement theory Strong applied experience with machine learning and AI systems in production environments Practical understanding of modern AI architectures including ...

enable better, faster decision‐making at scale. About the role As Head of Data Science, you will define how advanced analytics, machine learning and statistical modelling deliver real, measurable value across Halfords. This is not a pure research or experimentation role. It is about turning data science into ...

cross-functional teams including Credit Strategy Managers and Product Managers. The ideal candidate will possess excellent SQL and Python skills, a robust understanding of statistical models, and experience in end-to-end ML development in a consumer-facing industry. Positions are available in Cardiff, London, or remote within ...

cross-functional teams including Credit Strategy Managers and Product Managers. The ideal candidate will possess excellent SQL and Python skills, a robust understanding of statistical models, and experience in end-to-end ML development in a consumer-facing industry. Positions are available in Cardiff, London, or remote within ...

looking for from you: Strong and significant software engineering experience (C++, Java or similar) Solid background in data science and machine learning research, or statistical modelling Experience developing and prototyping novel systems or approaches Ability to take research concepts through to practical application An adaptable and continuous learning ...

Analytics Hub function and areas that feed into the team. We would like you to bring in experience of using techniques such as regression modelling, significance testing, forecasting and multivariate analysis to uncover significant patterns in sophisticated data. Develop, compose, implement and evaluate hypothesis-driven experiments, using frameworks … partnering with operational leaders to identify risks, opportunities and continuous improvement initiatives. Key Skills & Experience Strong analytical background with experience building and maintaining statistical and predictive models Advanced in SQL and Python Expertise in regression modelling, forecasting, significance testing and multivariate analysis Experience designing and evaluating hypothesis-driven ...

Data environments. Advanced SQL expertise, ideally working with large-scale datasets within Databricks or similar modern data platforms. Strong Python skills for data manipulation, statistical analysis and predictive modelling. Proven experience developing and optimising predictive analytics or revenue-driving data science models. Experience with propensity modelling or customer … growth modelling would be highly beneficial. Strong stakeholder engagement skills with the ability to communicate complex insights clearly to senior business audiences. Comfortable operating within fast-paced, evolving environments with multiple cross-functional stakeholders. This role would suit someone who enjoys combining deep technical data expertise with commercially focused ...

processes are embedded. Stakeholder Engagement Partner with Risk, Compliance, Product, and Technology teams to ensure solutions are commercially viable and regulator-ready. Communicate complex modelling approaches and outcomes clearly to senior stakeholders and non-technical audiences. Influence strategic decision-making through insight and evidence-based recommendations. Governance & Risk … only when deployed safely and embedded into business processes. They will be comfortable owning ambiguity, setting direction, and raising technical standards. They will combine statistical rigour with pragmatic decision-making and be confident influencing senior stakeholders. They will enjoy mentoring others and developing team capability alongside delivering impactful work. ...

grow again - you will be joining individuals from the top universities in the UK, with a broad experience in the world of mathematical modelling, some of the team boasting experience at the likes of CERN. This team works alongside the Data Scientists to build complex algorithms to support … mathematical and statistical problems. What will you do? Design and build advanced statistical models for sports markets, deriving new products and enhancing existing offerings Own the full life cycle from concept, to research, through to productionisation and performance monitoring Collaborate closely with data scientists and quant researchers ...

data science and analytics solutions to solve complex business problems * Building internal tools and contributing to the development of data and AI products * Conducting statistical analysis and regression modelling to generate insights * Creating dashboards and visual outputs for business stakeholders * Supporting AI workflow development, including exposure to large … Proficiency in Python, including libraries such as Pandas, NumPy and scikit learn * Strong SQL skills and experience working with structured data * Solid understanding of statistical analysis and regression techniques * Exposure to cloud platforms, ideally Azure, and an understanding of deployment processes * Experience working in cross functional teams, ideally alongside ...

TradingHub Founded in 2010, TradingHub delivers uniquely intelligent trade surveillance software to world leading financial institutions. Developed by market professionals, our solutions use sophisticated modelling techniques to detect single and cross-product market manipulation. With a team of over 150 experts based in London, Toronto, Singapore and Sydney, TradingHub … offerings Research and development of broad models of market dynamics across multiple asset classes Prototyping, testing, and validation of TradingHub’s proprietary mathematical/statistical models Use of in‐house big data language for the large‐scale pricing and analysis of security and risk data Implementation and optimisation ...

Football Radar For over a decade, Football Radar has excelled in developing statistical models and analytical frameworks for football. Our expertise extends to providing advisory services to football clubs and offering leading-edge betting advice that has consistently delivered outstanding returns for our clients. We define ourselves … Software Engineer, you will be responsible for helping build and maintain the software that makes that possible - everything from modern web applications to statistical models, real time data platforms to cloud infrastructure. This role is based at our London office, at 106 Kensington High Street, London, W8 4SG. ...

actuarial pricing solutions within insurance Strong understanding of insurance products and pricing methodologies across relevant lines Solid knowledge of actuarial methods, rating concepts, statistical techniques, modelling and pricing governance Experience working with clients on transformation or implementation programmes Ability to operate in cross-functional agile teams and work ...