2 of 2 Statistical Analysis Jobs in Central London

contributions in the world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. Collaborate with football … industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series … etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming (e.g., PyMC). Stakeholder Management: Proven success working directly with business stakeholders to define and deliver impactful solutions. What They Offer Work More ❯

activity, and emerging trends across the property landscape. Analyse business performance against KPIs, identifying trends, risks, and opportunities. Contribute to business strategy through data-informed recommendations. Support ad-hoc analysis requests and provide deep dives into specific business questions. About You: 5+ years' experience in research and data analytics Strong analytical mindset with excellent data interpretation and storytelling skills. … understanding of statistics. Advanced Excel/Google Sheets skills (pivot tables, macros, advanced formulas). Ability to translate complex data into clear recommendations with excellent communication skills. Knowledge of statistical analysis or Python/R (desirable but not essential) Experience in market analysis, business insights, or PR analytics preferred. Comfortable working in a fast-paced, data-centric More ❯