Job Overview
Job description
- Location:
- Abu Dhabi, Abu Dhabi, United Arab Emirates
- Work arrangement:
- On-site
Role Summary
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.
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
Responsibilities
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
Requirements
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.
- 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
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.
Benefits
- 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.
About the Company
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.
- Role:
- Data Scientist
- Industry Type:
- Renewables And Environment
- Job Type:
- Contract