Data Scientist

We’re looking for a Data Scientist to develop data science solutions that deliver measurable business impact across the organisation. Working within the Data team, you’ll use advanced analytics, machine learning and data engineering techniques to solve business problems, supporting projects from initial concept through to production deployment. You’ll collaborate closely with commercial stakeholders to understand their challenges and translate them into scalable, data-driven solutions, while contributing to the continued development of our data science capability., * Build and deploy machine learning models, taking solutions from initial ideation through to production deployment and ongoing optimisation.

• Design, develop and maintain scalable data models, ETL pipelines and data workflows that support analytics and machine learning initiatives.
• Analyse large and complex datasets to identify trends, patterns and opportunities, communicating insights in a clear, commercially impactful way.
• Act as the organisation’s subject matter expert for data-related queries, providing technical guidance and influencing data-driven decision making.
• Monitor, maintain and continuously improve production models, ensuring reliability, performance, scalability and proactive issue resolution.
• Collaborate with cross-functional teams to translate business problems into robust data science solutions that deliver measurable value.
• Apply appropriate statistical analysis, experimentation and machine learning techniques to solve complex business challenges.
• Contribute to the continuous improvement of data science practices, tooling and engineering standards across the team.
• Work autonomously to identify opportunities, prioritise work and deliver high-quality solutions while collaborating effectively with colleagues and stakeholders.
• Continuously develop technical expertise, staying up to date with advances in data science, machine learning and data engineering, and sharing knowledge across the team.

• A degree in a STEM subject, ideally at Master’s level
• Experience with SQL and Python
• Familiarity with machine learning concepts and their practical application
• Experience in cleaning, structuring, analysing, and visualising data from multiple sources
• Familiarity with Git/GitHub
• Ability to communicate complex data science concepts to non-technical audiences, building credibility and trust while influencing stakeholders
• Excellent communication and presentation skills
• Experience delivering data science projects end-to-end in a commercial environment
• Experience with recommender systems
• Familiarity with the e-gaming industry (sports betting, casino, etc).