Economist

Vital Human Resources; Greater London; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A recruitment agency is looking for an experienced Economist to join their analytical policy team in London. The role involves delivering robust microeconomic analysis and supporting a high-profile study on business data use and productivity. Key responsibilities include leading econometric modelling and translating findings into actionable insights. Essential skills include advanced econometric techniques and proficiency in tools like Stata, R, and Python. This hybrid role offers up to £700 per day and requires office attendance in London.

Qualifications

• Strong grounding in economic theory and empirical analysis.
• Advanced expertise in econometric techniques.
• Ability to explain complex concepts to non-technical stakeholders.

Responsibilities

• Lead econometric modelling and quality assurance.
• Translate complex analytical findings into actionable insights.
• Support high-profile study into business data use.

Skills

Economic theory and empirical analysis

Panel data econometrics

Causal inference

Time-series analysis

Stata

R

Python

Education

Degree in Economics or related quantitative discipline (PhD preferred)

Tools

Stata

R

Python

Job description

Economist

3 months initial

Hybrid (London-based office attendance required)

Up to £700 per day

Role Overview

We are seeking an experienced Economist to join an analytical policy team supporting a high-profile study into business data use and productivity. This role will play a key part in delivering robust microeconomic analysis using longitudinal survey data, helping to inform evidence-based policy decisions aimed at driving productivity and economic growth.

You will lead on econometric modelling and quality assurance, working closely with senior analysts and policy colleagues to translate complex analytical findings into clear, actionable insights.

Essential Skills & Experience

• Strong grounding in economic theory and empirical analysis
• Advanced expertise in panel data econometrics, causal inference, and time-series analysis
• Proficiency in econometric and statistical tools such as Stata, R, and/or Python
• Ability to explain complex technical concepts to non-technical stakeholders
• Degree qualification in Economics or a related quantitative discipline (PhD preferred or equivalent professional experience)

Desirable Experience

• Experience in productivity analysis and growth decomposition
• Government or private-sector microeconomic analysis experience
• Familiarity with digital, data, or emerging technology policy areas
• Strong coding capability in R and Python

If you are looking for an opportunity to join and apply- Contact us now on (phone number removed) To apply for this position contact Mellissa Voong by emailing your C.V to M e l l i s s a . v o o n g