Our client is a leading global commodities trading firm with a strong focus on oil and gas markets. With trading operations across major financial and energy hubs, they leverage advanced analytics and data-driven decision-making to support trading, risk, and commercial strategy.
The Opportunity
We are recruiting an entry-level Data Scientist to join our client’s growing analytics and technology team. This role offers hands-on exposure to real-time trading data and close collaboration with traders, quants, and engineers to deliver insights and models that directly impact trading performance.
Key Responsibilities
• Analyze, clean, and prepare large trading and market datasets
• Perform exploratory data analysis and produce clear visual insights
• Support the development and validation of statistical and machine-learning models
• Assist with back-testing, model tuning, and performance monitoring
• Contribute to analytics tools and dashboards used by trading desks
• Communicate findings to both technical teams and business stakeholders
Key Requirements
• Degree in Data Science, Computer Science, Statistics, Mathematics, or similar
• Experience in data analysis and machine learning through roles, internships, or projects
• Strong Python skills (Pandas, NumPy, scikit-learn)
• Knowledge of statistical modeling, time-series analysis, and model evaluation
• Experience with data visualization tools and SQL
• Familiarity with Git, Jupyter, and cloud platforms
• Exposure to energy, oil & gas, or commodities markets is advantageous
