14 of 14 Remote/Hybrid Statistical Modelling Jobs in London

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 ...

testing the solution and measuring the incremental value to the business from the solution. What you’ll bring: 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 ...

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 ...

Role Summary Leyton Orient is building a genuinely data-driven recruitment operation one where statistical rigour, AI tooling, and traditional scouting judgement work in concert rather than in tension. This role sits at the centre of that ambition. As Recruitment Data Scientist, you will design and deploy the models … presented to coaches and club leadership. If you want to see your work matter, this is the environment for it. Key Responsibilities Modelling & Analytics Develop and apply statistical models and player profiling frameworks, assessing candidate suitability against KPIs aligned with the club's tactical identity and style ...

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 ...

opportunity to join a growing data science function at a pivotal point in its evolution. The role offers real ownership, hands-on modelling work, and the chance to shape how marketing effectiveness is measured and scaled across international markets. With senior backing and investment in data, this … grow across the UK and US, with strong visibility and support from senior stakeholders. The Role Lead the development and evolution of media mix modelling to understand and optimise marketing channel performance. Scale an existing UK marketing effectiveness model and support its rollout into the US market. Work closely ...

successful pricing analyst will have the following skills and experience: 2-4 years of experience in pricing, credit risk or consumer finance analytics Strong statistical modelling skills Confidence in creating reliable reusable analytical code and working with version control Proficiency in Python and SQL BENEFITS The successful pricing ...

looking for a skilled Data Scientist to join the Advanced Analytics team in Greater London. The role focuses on utilizing machine learning and statistical modeling to derive actionable insights that enhance customer experience. You will be responsible for designing data science roadmaps, engaging with technology teams, and continuously innovating ...

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 ...

both technical and non technical audiences. Your Skills & Experience Strong commercial experience in data analysis or data science. Confident using Python or R for statistical analysis and modelling. Solid understanding of statistical methods and predictive modelling techniques. Experience working with SQL and data visualisation or BI tools. ...

established financial services organisations. Key Responsibilities Analyse large, complex datasets to uncover trends, patterns, and insights that inform strategic decisions Design, develop, and deploy statistical and machine learning models to solve business problems Apply AI and advanced analytics techniques to enhance decision-making and operational efficiency Write high-quality … technical stakeholders Ensure strong governance, risk, and control standards are embedded in all analytical work Required essential experience includes: Strong background in statistical analysis and modelling Advanced programming skills in Python Experience working with large datasets using SQL and/or PySpark Highly desirable skills include: Advanced knowledge ...

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 ...

will sit within a marketing measurement and reporting team, focusing on understanding and improving marketing performance across channels. This role combines hands on modelling with real business impact. Key responsibilities include: Developing and enhancing media mix models to measure and optimise marketing investment. Scaling an established UK modelling framework and applying it to international markets. Leading the evolution of marketing effectiveness modelling, with support and one direct report. Working closely with marketing, CRM, and analytics stakeholders to turn insights into action. Contributing to wider data science projects such as experimentation, propensity modelling, and recommendation systems. ...

What you will do Support client engagements by analysing data, exploring patterns, and helping frame business and analytical problems. Assist in developing and evaluating statistical models, machine learning solutions, and AI‐enabled analytics. Contribute to the design and delivery of data science solutions alongside senior data scientists and data … thinking skills Python or data tools Curiosity for data and AI Additional Requirements Security clearance (SC/BPSS) Exposure to machine learning Statistics or modelling knowledge Strong Python skills and familiarity with core libraries (pandas, NumPy, scikit‐learn) Deep learning and NLP stacks (PyTorch, HuggingFace Transformers) Cloud or data ...