Data Scientist

ACWA Power
Shanghai, Suzhou
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Problem-solving","Automation mindset","Communication","Time management","Teamwork"]

Build the digital backbone of the trading floor by managing trade and market data infrastructure and ensuring data integrity. Create automated dashboards for real-time P&L and risk monitoring, and streamline trading workflows by automating tasks with Python. Develop machine-learning models for load forecasting and renewable generation prediction, support probabilistic long-term pricing, and deliver management-ready visualizations and analytical summaries.

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ACWA Power
ACWA Power
1 day ago

Data Scientist

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Last checked: 2 hours agoStatus: Live

Job Summary

Build the digital backbone of the trading floor by managing trade and market data infrastructure and ensuring data integrity. Create automated dashboards for real-time P&L and risk monitoring, and streamline trading workflows by automating tasks with Python. Develop machine-learning models for load forecasting and renewable generation prediction, support probabilistic long-term pricing, and deliver management-ready visualizations and analytical summaries.
Location: Shanghai, Suzhou
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •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, ensuring integrity, backup, and accessibility.
  • •Design and implement automated reporting dashboards for real-time P&L and risk monitoring.
  • •Automate repetitive trading support tasks (e.g., data scraping and settlement reconciliation) using Python scripting.
  • •Develop ML models for short-term load forecasting and renewable generation prediction, and prepare advanced visualizations and analytical summaries for management.

Key Requirements

  • •3+ years in a Data Science or Quantitative Analysis role, preferably in energy, commodities, or finance.
  • •Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a quantitative field.
  • •Advanced-level Python and SQL experience, with knowledge of AI-assisted coding.
  • •Proficiency with Power BI and/or Tableau for data visualization and dashboards.
  • •Problem-solving mindset focused on automation and efficiency, with strong communication to non-technical stakeholders.
Experience:3+ yearsEnergyCommoditiesFinanceQuantitative analysis
Education:
Skills:Problem-solvingAutomation mindsetCommunicationTime managementTeamwork
Tech Stack:PythonSQLPower BITableauAPIFTPMachine learningAI-assisted coding

Company Brief

ACWA Power
Developer, investor, co-owner and operator of power generation, desalinated water production and renewable energy projects across multiple countries, with growing activity in green hydrogen and large-scale solar and wind developments.
Industry: Utilities
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Riyadh, Saudi Arabia
Founded: 2004
Glassdoor
Glassdoor: 3.5
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