3 of 3 Statistical Modelling Jobs in Bristol

automation, CI/CD, and modern cloud engineering practices. Wherever you land, youll be working with some of the biggest datasets in the UK using everything from Spark and statistical methods to domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural … workflows using Apache Spark, Vertex AI, and CI/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like Gemini, Claude, and … Python Machine learning techniques and theory Generative and Agentic AI AI Solution design and evaluation techniques Cloud platforms like GCP CI/CD, DevOps and software engineering Data analysis, modelling and strategic design Business and commercial insights Your AI power-up On joining, youll fast track from fundamental concepts to advanced technologies and AI skills (and your chance to More ❯

assessment has been successfully passed, you'll get access to the queue. Required Qualifications Master's degree and/or PhD in Economics Strong understanding of: Microeconomics & macroeconomics Econometrics & statistical modeling Game theory Behavioral economics Market structure & economic policy Ability to articulate and critique economic concepts clearly Preferred Qualifications Research or industry experience in economic modeling, forecasting, or data More ❯

are hiring applied data science professionals to drive a high-impact analytics initiative. In this short-term contract role, you'll work with complex datasets to uncover insights, build statistical models, and guide business decisions — without the overhead of production ML engineering. What You'll Do Convert business questions into clear analytical workflows Perform data wrangling, EDA, and hypothesis … testing Build statistical models and predictive tools Develop dashboards and visualizations for business teams Communicate findings to non-technical stakeholders What You Bring 5+ years in applied data science or analytics Strong Python or R skills (pandas, NumPy, Jupyter) and solid SQL experience Familiarity with BI tools like Tableau or Power BI Strong foundation in statistics, experimentation, and A More ❯