10 of 10 Remote/Hybrid Statistical Modelling Jobs in the South East

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. ...

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 ...

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 ...

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 ...

join our manufacturing client s Commercial Team and play a critical role in driving data-informed decision-making. This role requires strong analytical and statistical skills, advanced proficiency in data tools, and the ability to translate complex data into clear, impactful business recommendations. Initially this will … impact insights that drive commercial and operational success. Skills we re looking for in a Data Analyst: Advanced Excel capability using complex formulas, data modelling, mapping, v-lookup, pivot tables, IF statements. Proven ability to communicate complex data findings to non-technical stakeholders through reports, visualisations, and presentations. Experience ...

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. ...