About Compass Lexecon
Compass Lexecon is one of the world’s leading economic consultancies. We advise on competition policy,
economic and financial regulation, public policy, intellectual property, and damage assessment across all industries.
With over 700 professionals, including 170+ Ph.D. economists across 25 global offices,
we offer a world-class perspective on economic issues. Our teams deliver creative, compelling solutions supported by
rigorous economic thinking and cutting-edge analytical techniques. We have worked on matters before regulatory agencies
and courts in more than 120 jurisdictions.
The Compass Lexecon International team across EMEA, Asia Pacific, and Latin America includes
350+ economists and academic affiliates in 17 offices. Our diverse experts bring technical excellence,
integrity, and deep sector experience, supported by state-of-the-art data science tools and methodologies.
We are committed to being an equal opportunities employer and welcome applicants from all backgrounds.
We believe diverse teams deliver the highest levels of quality, creativity, and integrity.
Overview / About the Role
Compass Lexecon is recruiting Data Scientists with hands-on data engineering experience to join our
Data Team within the broader Research Team. Data is at the heart of every project we undertake, and transforming data
into compelling empirical analysis is fundamental to our work.
As the volume and complexity of data continue to grow, this role offers exciting opportunities to apply tools from
data science, machine learning, and data engineering to meaningful policy and competition questions.
Our team aims to:
-
Advance thought leadership by developing new tools and techniques for economic consulting, keeping
Compass Lexecon at the forefront of data analytics.
-
Develop and elevate specialist skills across the company, enabling our economists to deliver the most
effective and innovative analysis and advice to clients.
-
Push the frontier of how data is used to shape markets across some of the world’s most important industries.
Key Responsibilities
-
Work on client-facing projects, designing and implementing complex data science solutions—from concept to production—
to solve real-world competition and regulatory challenges.
-
Solve diverse challenges, such as mining large datasets, engineering data workflows, or building NLP applications using
large language models.
-
Contribute to cutting-edge research, strengthening Compass Lexecon’s thought leadership in advanced analytics applied to
competition and finance cases.
-
Deliver advanced training sessions and develop sophisticated tools to enhance how economists work with data.
Qualifications & Experience Required
-
Master’s degree in data science, computer science, applied mathematics, statistics, machine learning, economics, or
operations research.
-
At least 2 years of professional data science experience with a strong track record of translating
business problems into data-driven solutions.
-
Proficiency in Python, R, and SQL, with experience writing production-level code and working with
relevant libraries and frameworks.
-
Hands-on experience with NoSQL databases such as MongoDB.
-
Practical expertise across data science methods, such as data engineering workflows, machine learning, and NLP, with
the ability to quickly learn new tools.
-
Experience with cloud platforms (Azure, AWS, or GCP) and container technologies
(e.g., Docker).
-
Strong understanding of data engineering principles: data modelling, ETL, and building data pipelines.
-
Excellent organizational skills and ability to manage multiple projects independently.
-
Strong teamwork and communication skills, with the ability to explain findings to both technical and non-technical audiences.
