Data Scientist

Masdar (Abu Dhabi Future Energy Company); Abu Dhabi; On-site; AED 134,000 - 201,000; Full time

Job summary

Masdar is seeking a data analytics professional to support analytics, AI and data product development within the AI Products and Analytics Technology CoE in Abu Dhabi. You will prepare data, build models and data pipelines, and translate outputs into clear insights and dashboards.

Responsibilities include developing dashboards on BI platforms, assisting in AI model development and documentation, and collaborating with operations, digital and strategy teams to inform decisions.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or Engineering; UAE National.
• Strong foundation in statistics, linear algebra, and data analysis.
• 1–3 years of experience in data science or analytics.
• Proficiency in Python and SQL; familiarity with Pandas/NumPy.
• Experience with visualization tools Power BI or Tableau; basic ML concepts.
• Understanding of data pipelines and data wrangling; cloud/big-data exposure is a plus.

Responsibilities

• Perform data preparation, cleaning and analysis.
• Support development of analytical models and data pipelines across use cases.
• Translate analytical outputs into insights, visualizations and reports.
• Develop dashboards and reports on the CoE's BI platforms.
• Support AI model development, testing and documentation.
• Collaborate with stakeholders across operations and strategy teams to understood data needs.

Skills

Python

SQL

Pandas

NumPy

Matplotlib

Education

Bachelor's degree in Computer Science, Data Science, Engineering

Tools

Power BI

Tableau

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 and 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

• 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)
• Exposure to energy, utilities, or financial analytics is advantageous but not mandatory
• Demonstrated experience working on data-driven projects (academic or professional)
• 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
• 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