Senior Economist – Quantitative Policy & Evaluation

Senior Economist – Quantitative Policy & Evaluation

Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
SQW Group Ltd

At a Glance

  • Tasks: Conduct high-impact quantitative research and evaluation on real policy questions.
  • Company: Join SQW GROUP LTD, a leader in economic consultancy.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Collaborative environment with exciting projects and career advancement.
  • Why this job: Make a difference by applying your skills to impactful policy work.
  • Qualifications: 2:1 degree in economics/econometrics and strong R or Python skills required.

The predicted salary is between 50000 - 70000 Β£ per year.

SQW GROUP LTD is seeking a Senior Consultant or Managing Consultant (Economist) to deliver high-impact quantitative research and evaluation across the UK.

You will apply econometric analysis, forecast modelling and data visualisation to real policy questions, working with clients and contributing to new business proposals.

The role requires a 2:1 economics/econometrics degree (postgraduate desirable), strong R or Python skills, and experience with Power BI and MS 365.

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Senior Economist – Quantitative Policy & Evaluation employer: SQW Group Ltd

SQW is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the field of economic and social research. With a strong commitment to employee development, we provide ample opportunities for growth and advancement, ensuring that our team members can thrive in their careers while making a meaningful impact across the UK. Located in a vibrant area, our office environment promotes a healthy work-life balance, making SQW a rewarding place to work.

SQW Group Ltd

Contact Details:

SQW Group Ltd Recruitment Team

We think you need these skills to ace Senior Economist – Quantitative Policy & Evaluation

Econometric Analysis
Forecast Modelling
Data Visualisation
R
Python
Power BI
MS 365