Sports Data Scientist

🚀 Data Scientist – Sports Analytics | Remote (UK-Based) 🚀

Are you a data-driven sports enthusiast with a passion for cricket and analytics? We’re working with a fast-growing, innovative platform that is transforming fan engagement through advanced data science and predictive modelling.

This is a fantastic opportunity for a Data Scientist to dive deep into sports analytics, developing cutting-edge models to rank player performance, analyse venue impact, and optimise fantasy scoring systems.

🔍 The Role:

✔ Analyse cricket and sports data to uncover key performance trends.

✔ Develop predictive models for player rankings, team outcomes, and venue influences.

✔ Design and refine fantasy scoring algorithms to enhance engagement.

✔ Train, validate, and deploy machine learning models with AWS SageMaker.

✔ Collaborate with cross-functional teams on product analytics and dashboarding.

✔ Present data insights to technical and non-technical stakeholders.

🎯 What We’re Looking For:

✔ 1–3 years of experience in data science or machine learning (sports analytics a plus!).

✔ Proficiency in Python, SQL (Redshift), AWS SageMaker, and Metabase.

✔ Strong foundation in statistical analysis, forecasting, and ranking models.

✔ Experience in MLOps and model deployment.

✔ A deep passion for cricket and an understanding of sports analytics concepts.

✔ Bonus: Knowledge of econometrics.

🎁 Why Join?

🌍 Remote-first flexibility – work from anywhere in the UK!

🚀 Be part of a fast-growing, cutting-edge sports analytics company.

💡 Work on challenging and exciting data problems in a collaborative environment.

📈 Excellent career growth opportunities + competitive compensation.

If you’re ready to take your data science expertise into the world of sports and fantasy gaming, let’s chat! Drop us a message or apply now! 📩

#DataScience #SportsAnalytics #Cricket #FantasySports #Hiring