Junior Risk Engineering Data Scientist – Energy & Power

Marsh Risk

Abu Dhabi

Hybrid

AED 120,000 - 180,000

Full time

2 days ago
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Benefits offered by this job

Hybrid work model
Learning & development opportunities

Job summary

Marsh invites graduates to join the MEA Risk Engineering / Technology and Innovation team in Abu Dhabi, supporting Energy and Power risk engineering projects. You will work on process improvement, digitalization, and data analysis, building tools and automated solutions to boost internal efficiency.

You will collect data from risk surveys and internal databases, collaborate with engineers, and contribute to client deliverables while gaining hands-on exposure to risk engineering and analytics.

Qualifications

  • Recent graduate with a degree in Engineering, Data Science, Mathematics, or related field.
  • Strong proficiency in Microsoft Excel and the broader Microsoft Office suite; familiarity with automation tools is beneficial.
  • Analytical mindset with attention to detail and ability to present findings clearly.

Responsibilities

  • Analyze workflows with internal teams to identify inefficiencies and opportunities for improvement.
  • Develop digital tools and automated solutions to enhance internal processes for Energy and Power teams in MEA.
  • Collect, organize and validate data from risk surveys and internal databases; analyze with Excel.
  • Support risk assessments, insurance submissions, and client presentations.
  • Prepare presentations and reports; participate in internal and client meetings.
  • Shadow risk engineers during field surveys; develop expertise in risk engineering and data analysis.

Skills

Microsoft Excel
Microsoft Office
Programming language
Data analysis
Communication

Education

Engineering or related field
Data Science

Tools

APIs
Low-code platforms
Automation tools

Job description

Marsh invites graduates to join the MEA Risk Engineering / Technology and Innovation team in Abu Dhabi, supporting Energy and Power risk engineering projects. You will work on process improvement, digitalization, and data analysis, building tools and automated solutions to boost internal efficiency.

You will collect data from risk surveys and internal databases, collaborate with engineers, and contribute to client deliverables while gaining hands-on exposure to risk engineering and analytics.

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