Design and deploy advanced predictive models and ML solutions for real-time business decisions in a data-driven, high-growth tech environment. Lead technical projects, mentor data science teams, and collaborate with engineers to optimize scalable data pipelines. Requires proven expertise in sports/gaming analytics, mentorship, and cloud/distributed computing with Python/R and ML frameworks.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
We are working with one of the UK's most successful privately owned technology businesses, a market leader trusted by millions and driven by data at its core.
The Role
- Design and deploy predictive models and ML solutions that power real-time markets.
- Work hands on with cutting-edge datasets, AI techniques, and scalable data pipelines.
- Identify patterns and insights that directly influence live business decisions.
- Collaborate closely with engineers, analysts, and platform teams to optimise performance and reliability.
- Drive best practice, mentor / coach across the Data Science function.
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- Proven experience in a Senior or Lead Data Scientist role (preferably in sports, gaming or similar).
- A track record of mentoring teams and leading technical projects.
- A degree (BSc/MSc) in Data Science, Mathematics, Computer Science, or a related field.
- Strong programming skills in Python or R, with experience using frameworks such as Scikit-learn, PyTorch, or TensorFlow.
- Experience with cloud platforms or distributed computing (GCP preferred, but AWS or Azure also welcome).
- A genuine interest in sports and data-driven decision making.
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- Fully remote working with flexibility built in.
- £90,000 - £100,000 salary plus additional benefits.
- Access to huge, high-quality datasets and modern ML tooling.
- Clear opportunities for career growth within an expanding Data Science function.
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