Data Scientist
- Abu Dhabi, United Arab Emirates
Posted 3 days ago
About the role
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
- Support the translation of business questions into analytical tasks
- Communicate findings in a clear and structured manner appropriate for different audiences
Qualifications
Preferred Qualifications:
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field; UAE National (National Talent programme). Strong foundation in statistics, linear algebra, and data analysis.
Preferred Experience:
- 1–3 years of experience in data science, analytics, or related fields (internships included)
- Job-Exposure to energy, utilities, or financial analytics is advantageous but not mandatory
- Demonstrated experience working on data-driven projects (academic or professional)
Technical Skills:
- Proficiency in Python, SQL, or similar programming languages
- Familiarity with:
- Data analysis libraries (e.g., Pandas, NumPy)
- Visualization tools (e.g., Power BI, Tableau, Matplotlib)
- Basic machine learning concepts and frameworks
- Understanding of data pipelines and data wrangling techniques
- Exposure to cloud platforms or big-data tools is a plus
Behavioral Competencies:
- Strong analytical thinking and problem-solving skills
- Curiosity and eagerness to learn and grow in a fast-paced environment
- Ability to take direction, absorb feedback, and continuously improve
- Good communication skills with the ability to explain findings clearly
- Collaborative mindset and strong attention to detail
Role is to be based in Abu Dhabi, UAE.
Additional Information
As part of the application process, we will collect, store and process personal information about you.
Masdar will use your personal information in accordance with our Candidate Privacy Notice, which provides details on the purposes for which your data is processed.