Data Scientist

JD - Data Scientist Reports to: Power Trading Manager (Dotted line to Head of Power Trading)

Location: Suzhou

Job Description The Data Scientist will build the digital backbone of the trading floor. You will manage the department's data infrastructure, streamline reporting workflows, and leverage AI/machine learning techniques to enhance forecasting accuracy and operational efficiency.

Key Responsibilities

• Database & Infrastructure Management:

• Develop, maintain, and optimize the department's project database for trade data, market prices, and fundamental drivers.

• Manage relationships and data feeds (API/FTP) with external market data providers.

• Ensure data integrity, backup, and accessibility for all team members.

• Digital Tools & Automation:

• Design and implement automated reporting dashboards (using tools like Power BI or Tableau) for real-time P&L and risk monitoring.

• Streamline trading support processes by automating repetitive tasks (e.g., data scraping, settlement reconciliation) using Python scripting.

• AI & Advanced Analytics:

• Support trading teams by developing machine learning models for short-term load forecasting and renewable generation prediction.

• Collaborate with the Fundamental Analyst to integrate probabilistic forecasting into long-term price models.

• Management Reporting:

• Prepare advanced data visualizations and analytical summaries for management review and board presentations.

Qualifications & Profile

• Experience: 3+ years in a Data Science or Quantitative Analysis role, preferably in energy, commodities, or finance.

• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a quantitative field.

• Technical Skills:

• Essential: Advanced-level Python and SQL, knowhow in AI assisted coding.

• Visualization: Proficiency in Power BI, Tableau, etc.

• Infrastructure: Knowledge of corporate IT infrastructure system.

• Soft Skills:

• Problem-solving mindset with a focus on automation and efficiency.

• Ability to communicate technical constraints and solutions to non-technical stakeholders.

• Ability to work under pressure with time management skills to handle urgent requests

• Teamwork spirit