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ACWA Power

Data Scientist

ACWA Power Shanghai, Shanghai, China

Utilities · 1,001-5,000 employees

Aug 31
data-scientist Mid (2-5 yrs) Full-time China
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About the role

The Data Scientist will manage the department's data infrastructure and automate reporting workflows to support the trading floor. They will also develop machine learning models to enhance forecasting accuracy and operational efficiency.

What they look for

Python SQL Data Science Machine Learning Power BI Tableau Data Infrastructure Automation Data Visualization Forecasting Database Management API FTP Quantitative Analysis Risk Monitoring Settlement Reconciliation

Requirements

Candidates must have 3+ years of experience in Data Science or Quantitative Analysis, preferably in energy or commodities. A Bachelor's or Master's degree in a quantitative field and advanced proficiency in Python and SQL are required.

Full description

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

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