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    Senior Data Scientist

    Our client, an innovative sports betting modelling business based in central London, is looking for a talented Senior Data Scientist to join their team.

     

    Responsibilities:

    • Lead the development of models and supervise ad hoc analysis using a variety of data sources to solve tasks relevant to the business (e.g. supporting development of existing and/or new sports forecasting products)
    • Extract meaningful insight from sports data using sound Mathematical/Statistical principles
    • Collaborate with and lead other members of the Data Science team to propose ideas and solve modelling problems relating to new/existing products
    • Follow typical development processes in terms of code management and structure
    • Liaise with various teams around the business (including Model Engineering and Data Collection teams where appropriate) to assist with tasks relevant to the modelling team

     

    Requirements:

    • An advanced degree (PhD, MSc, BSc) in a STEM subject or equivalent experience in a professional data science role
    • Demonstrable experience solving complex analytics and modelling problems within sports/betting domains
    • 5+ years’ experience in sports betting/analytics industry in a quantitative or data science role
    • Possesses significant experience and a passion for statistical modelling of MLB or NBA
    • Advanced knowledge of statistical modelling and machine learning, with relevant experience in the use of relevant Python libraries e.g. scikit-learn, xgboost, tensorflow, pymc3, statsmodels (and R equivalents)
    • Experience generating reports, dashboards and data visualisations to explain the results and behaviour of models
    • Experience with concurrent development source control (GIT)
    • Familiarity with SQL and experience working with relational databases
    • Excellent presentation, documentation, time management, communication skills with the ability to work collaboratively and autonomously
    • Strong problem-solving skills with a pragmatic and analytical outlook

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