Data Scientist

Company Description

Established in 2006, Masdar (Abu Dhabi Future Energy Company) is a global clean energy leader, transforming how the world produces and consumes energy through bold innovation and commercial excellence.

Masdar is a clean energy investor, developer and operator, advancing renewable energy projects across key markets and technologies, with a global project portfolio capacity to date of over 65 gigawatts (GW).

Jointly owned by TAQA, ADNOC and Mubadala , Masdar is driving the scale-up of renewables worldwide, targeting a portfolio capacity of 100GW by 2030.

Job Description

To support the development of analytics, AI, and data products while building foundational capabilities, as part of Masdar’s national-talent development within the AI Products & Analytics Technology CoE.

Key Accountabilities :

• Perform data preparation, cleaning, and analysis.
• Support the development of analytical models and data pipelines across key use cases
• Assist in implementing machine learning, statistical, and optimization models under guidance from senior team members
• Perform data cleaning, preprocessing, and exploratory data analysis (EDA)
• Translate analytical outputs into clear insights, visualizations, and reports
• Support the delivery of data-driven recommendations to inform operational and strategic decisions
• Contribute to dashboards and tools that enhance visibility into performance and forecasts
• Develop dashboards and reports on the CoE’s BI platforms.
• Support AI model development, testing, and documentation.
• Work closely with the Senior Decision Scientist to Build and refine models, Validate results and ensure quality outputs, and Understand business context and decision frameworks
• Participate in code reviews, model reviews, and knowledge-sharing sessions
• Ensure high standards of data integrity, quality checks, and documentation
• Work with structured and unstructured datasets from multiple sources
• Support the maintenance of reproducible and well-documented codebases
• Build foundational skills in data science, AI, and platform tools through structured development.
• Apply best practices in coding, modeling, and analytics inspired by industry-leading organizations
• Engage with stakeholders across operations, digital, and strategy teams to understand data needs