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Senior Economist & Data Scientist — Economic Impact (London)

Oxford Economics Group

Greater London

Hybrid

GBP 70,000 - GBP 90,000

Full time

Today
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Job summary

A leading economic consulting firm based in London seeks a (Sr.) Economist/Data Scientist for their Economic Impact team. The ideal candidate will have 2-5 years of experience and strong skills in data analysis, Python programming, and machine learning. Responsibilities include applying quantitative techniques to complex datasets, designing models for clients, and effectively communicating analytical results. This position offers competitive benefits including private healthcare and hybrid working options.

Benefits

Private Healthcare
Employee Assistance Program
Enhanced Maternity and Paternity Leave
Workplace Nursery Scheme
Cycle to Work Scheme
Hybrid/Flexible Working
Team Gatherings

Qualifications

  • 2-5 years’ professional experience in data science or applied economics.
  • Experience building and deploying machine learning models.
  • Strong programming skills in Python; experience with R or SQL is a plus.

Responsibilities

  • Applying quantitative techniques to large datasets.
  • Designing and deploying econometric models for clients.
  • Communicating with clients and managing relationships.

Skills

Data analysis
Python programming
Machine learning
Communication skills
Collaboration
Cloud platforms
Containerization (Docker)

Education

Postgraduate degree in economics or a related field

Tools

R
SQL
TensorFlow
PowerBI
Job description
A leading economic consulting firm based in London seeks a (Sr.) Economist/Data Scientist for their Economic Impact team. The ideal candidate will have 2-5 years of experience and strong skills in data analysis, Python programming, and machine learning. Responsibilities include applying quantitative techniques to complex datasets, designing models for clients, and effectively communicating analytical results. This position offers competitive benefits including private healthcare and hybrid working options.
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