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Shanghai Data Scientist

ACWA Power

Location
SA
Work mode
On-site
Seniority
Mid
Role track
Data · ML / AI
Sector
PIF
Posted
August 31, 2026

Job description

Data Scientist Job Details | acwapowerc
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Data Scientist
Date: 
Aug 31, 2026
Location: 
Shanghai, CN
Job 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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