Rail Advisory Analyst – Early Career

WSP

United Kingdom

Hybrid

GBP 28,000 - 35,000

Full time

14 days+

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Benefits offered by this job

Hybrid working policy allowing 2 days remote work
Gymflex scheme with discounts on gym memberships
Comprehensive menopause support package

Job summary

WSP is looking for an Early Careers Professional to join their Rail Advisory team in the UK. The role involves supporting various rail advisory services, including operations modeling, strategy development, and digital transformation projects.

The ideal candidate should have a degree in engineering, mathematics, or computer science and possess organizational skills along with a broad understanding of railway systems and operations. The position offers opportunities for professional development and a hybrid working model.

Qualifications

  • An ability to think holistically, ideally with some experience in applying systems thinking to complex problems.
  • An understanding of railways across governance, systems, technologies, operations, maintenance, and/or scheme development.
  • Some relevant postgraduate experience in a rail-related environment.

Responsibilities

  • Support on railway operations modelling, simulation, and analysis.
  • Assist in advising clients on developing rail strategies and feasibility studies.
  • Contribute to digital transformation projects.

Skills

Engineering
Mathematics
Computer Science
Systems Thinking
Organizational Skills

Education

Engineering, Mathematical or Computer Science Degree

Job description

WSP is looking for an Early Careers Professional to join their Rail Advisory team in the UK. The role involves supporting various rail advisory services, including operations modeling, strategy development, and digital transformation projects.

The ideal candidate should have a degree in engineering, mathematics, or computer science and possess organizational skills along with a broad understanding of railway systems and operations. The position offers opportunities for professional development and a hybrid working model.

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