Head of Data Science

Job Type:
Analytics & BI
Salary Description:
Excellent + Bonus & Benefits
Job Ref:

BettingJobs.com is currently seeking a Head of Data Science to lead the Data Science team for an innovative gaming company in their central London office. This will be a hands-on role and you will be expected to perform analysis as well as being responsible for developing the Data Science strategy and managing the Data Science team.


• Lead, nurture, and grow a team of Data Scientists and Data Engineers
• Supervise insights, machine-learning and engineering projects
• Drive the creation and implementation of best practices for statistical data modelling, analysis, and machine learning; data exploration and reporting tools; and processes that allow data team to work efficiently within the product and the tech org
• Define the overarching data strategy and vision for data pipeline, data products
• Work closely with product management, product marketing, user-acquisition and development teams to ensure priorities and roadmap are aligned across the organisation


• Strong experience in data science and analytics, ideally working with a consumer product
• Significant experience managing, mentoring, and coaching teams of data scientists and analysts
• The ability to filter complex and seemingly arcane analytics into clear, accessible, actionable insight
• Excellent communication skills, and ability to work across multiple teams and levels within the organisation
• Understanding of good software development practises: TDD, refactoring, pair-programming, SOLID design
• Knowledge of Python and SQL (other programming languages is a plus)
• A Data story teller and an appreciation for both the power and limits of data. You will be able to communicate your findings, orally and visually.
• Experience of overseeing Big Data projects: managing risks and data security
• Experience of leading data science, data discovery and machine learning projects
• Experience in finding patterns in data and creating statistical models, data exploration, data visualisation and data mining
• You will have statistical, mathematical, predictive modelling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers
• A degree, Masters or PhD in a quantitative discipline such as computer science, statistics, physics or mathematics. MBA is a plus

Contact Details:
Tel: +44 (0) 1355 588 988
Contact: John O'Neill

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