Machine Learning Developer Intern

• Build predictive models for player performance analysis
• Develop clustering algorithms for team strategy optimization
• Create recommendation systems for match tactics
• Implement time-series forecasting for match outcomes

You might be a good fit if

• You have experience with machine learning frameworks (scikit-learn, pandas, numpy)
• You're familiar with statistical analysis and data science
• You enjoy working with large datasets and finding patterns
• You have an interest in sports analytics and statistics
• You're comfortable with Python and data visualization tools

What will you learn

• Advanced machine learning techniques for sports data
• Working with real-time sports analytics
• Feature engineering for sports performance metrics
• Model deployment and monitoring in production

About

Sports Vector is a sports intelligence company helping teams build smarter strategy and win more games. We build cross-sport platforms that collect insights and data, and convert them into strategy that works across sports.

Our cricket vertical, Crictier, covers the full lifecycle of the game, from granular data tagging and analyst platforms with advanced matchups to deep performance insights, post-match breakdowns, scouting, and live in-match strategy. Everything is powered by AI and built the modern way, bringing everything teams and analysts need into one unified ecosystem.

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