Hybrid Transport Policy & Evaluation Lead in Surrey

Hybrid Transport Policy & Evaluation Lead in Surrey

Surrey Full-Time 51750 - 63250 Β£ / year (est.) No working from home possible
WSP

At a Glance

  • Tasks: Design and implement frameworks for transport policies, delivering actionable insights.
  • Company: Join WSP's Intelligent Infrastructure team, a leader in innovative transport solutions.
  • Benefits: Enjoy competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborate with senior experts in a dynamic and supportive environment.
  • Why this job: Make a real impact on transport policies and contribute to evidence-based decision making.
  • Qualifications: Experience in monitoring and evaluation, with strong analytical and communication skills.

The predicted salary is between 51750 - 63250 Β£ per year.

WSP is seeking a monitoring and evaluation specialist to join our Intelligent Infrastructure team in the UK. You will design and implement monitoring and evaluation frameworks for transport policies, programmes and projects, delivering actionable insights that support evidence-based decision making.

Working with senior experts and clients, you will apply quantitative and qualitative methods, visualize data, and translate findings into clear recommendations.

Hybrid Transport Policy & Evaluation Lead in Surrey employer: WSP

WSP is an excellent employer, offering a dynamic work environment in Leeds that fosters professional growth and development through initiatives like the Land Academy. With a strong emphasis on hybrid working arrangements, employees enjoy a healthy work-life balance while engaging in meaningful projects that shape urban and rural landscapes across the UK and Ireland.

WSP

Contact Details:

WSP Recruitment Team

We think you need these skills to ace Hybrid Transport Policy & Evaluation Lead in Surrey

Monitoring and Evaluation
Framework Design
Transport Policy Analysis
Quantitative Methods
Qualitative Methods
Data Visualisation
Evidence-Based Decision Making