Data Scientist

Masdar

Abu Dhabi

On-site

AED 180,000 - 260,000

Full time

8 days ago

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Job summary

Masdar, based in Abu Dhabi, UAE, seeks a data scientist to support analytics, AI, and data products within the AI Products & Analytics Technology CoE.

The role focuses on data preparation, modeling, dashboards, and insights to inform operations and strategy. Candidates should have 1–3 years in data science and a relevant degree. Based in Abu Dhabi, Masdar offers growth within a global clean energy leader.

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; UAE National Talent programme.
  • 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).

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.

Skills

Python
SQL
Pandas
NumPy
Power BI
Tableau
Matplotlib
Data pipelines
Cloud platforms
Data analysis
Communication
Teamwork
Problem solving
Curiosity
Machine learning basics

Education

BSc in CS/DS/Engineering

Tools

Python
SQL
Pandas
NumPy
Power BI
Tableau
Matplotlib

Job 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 ofanalytical models and data pipelinesacross key use cases
  • Assistin implementingmachine learning, statistical, and optimization modelsunder guidance from senior team members
  • Performdata cleaning, preprocessing, and exploratory data analysis (EDA)
  • Translate analytical outputs intoclear insights, visualizations, and reports
  • Support the delivery ofdata-driven recommendationsto 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 theSenior Decision Scientistto Build and refine models, Validate results and ensure quality outputs, and Understand business context and decision frameworks
  • Participate incode reviews, model reviews, and knowledge-sharing sessions
  • Ensurehigh standardsofdata integrity, quality checks, and documentation
  • Work with structured and unstructured datasets from multiple sources
  • Support the maintenance ofreproducible 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 byindustry-leading organizations
  • Engage with stakeholders acrossoperations, digital, and strategy teamsto understand data needs
  • Support the translation of business questions intoanalytical tasks
  • Communicate findings in aclear and structured mannerappropriate fordifferent audiences
Qualifications

Preferred Qualifications:

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field; UAE National (National Talent programme). Strong foundationinstatistics, linear algebra, and data analysis.

Preferred Experience:

  • 1–3 years of experience indata science, analytics, or related fields(internships included)
  • Job-Exposure toenergy, utilities, or financial analyticsisadvantageousbut not mandatory
  • Demonstrated experience working ondata-driven projects(academic or professional)

Technical Skills:

  • ProficiencyinPython, 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 ofdata pipelines and data wrangling techniques
  • Exposure to cloud platforms or big-data tools is a plus
  • Stronganalytical thinking and problem-solving skills
  • Curiosity and eagerness tolearn and grow in a fast-paced environment
  • Ability totake direction, absorb feedback, and continuously improve
  • Good communicationskills 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.

By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply

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