Senior Data Scientist

Compass Lexecon is one of the world's leading economic consultancy firms. Our European Practices provide economic advice on competition policy, economic and financial regulation, public policy and the assessment of damages in complex disputes. We work on some of the most high-profile cases before the European Commission, the General Court and national competition authorities, regulators and courts.

Compass Lexecon is recruiting a Senior Data Scientist to join the Data team, which is part of the broader Research Team. Data is a core part of every project at Compass Lexecon and turning that data into compelling empirical analysis is fundamental to what we do. With increasing amounts of data being generated, there are exciting opportunities to apply tools from data science, machine learning, and data engineering to the interesting policy and competition questions that arise in our work. The team aims to (a) advance our thought leadership in the industry by introducing new tools and techniques to address challenges encountered in economic consulting, bringing Compass Lexecon to the forefront of data analytics, and (b) broaden and deepen all Compass Lexecon economists' specialist skillsets to offer our clients the most effective, creative and cutting-edge analysis and advice. In doing so, we aim to push the frontier of how data is used to shape markets in some of the world's most important industries. Senior Data Scientists join us after four years of work experience in data science. You will be based in either our Berlin or London offices and will work closely with other data scientists located across our European offices. Please indicate in your cover letter your preferred office.

As a Senior Data Scientist, you will play a pivotal role in shaping our data strategy and collaborating on innovative projects. You will:

• Work on client-facing projects, designing and implementing complex data science solutions, from concept to productions to solve real-world competition and regulatory challenges faced by businesses. Each project is different - one week, you might solve a data engineering challenge, which could involve mining large datasets. The next week, you may find yourself working on natural language processing using large language models, developing innovative AI applications.
• Contribute to cutting-edge research projects, advancing Compass Lexecon's thought leadership in the application of advanced analytics to competition and finance cases.
• Mentor junior team members, conducting advanced training sessions and develop sophisticated tools to enhance how economists works with data.

Minimum qualifications:

• Master's degree in computer science, applied mathematics, statistics, machine learning, economics, or operations research
• 4+ years of professional data science experience, with a proven track record of translating business problems into data science solutions
• Proficiency and knowledge of:
  • Python and R,
  • SQL and NoSQL databases (e.g. MongoDB) and
  • Big data technologies (e.g. PySpark, SparkSQL)
• Deep understanding and hands-on experience with a variety of data science tools and concepts, such as machine learning, causal inference, optimisation, natural language processing and computer vision
• Experience with cloud computing platforms (Azure, AWS, GCP) and containerization (Docker)
• Knowledge of data engineering principles such as data modelling, ETL processes, and data pipelines
• Have strong organisational/prioritisation skills and communication skills to non-technical audiences
• Experience in competition policy, antitrust, litigation or mergers and acquisition is a plus.

Benefits of working at Compass Lexecon:

• Competitive salary and benefits
• A wide variety of interesting and challenging projects
• An international team with a broad range of backgrounds and experience
• A blend of professional and academic environments
• The opportunity to work with top law firms, corporations, government bodies and academics
• A steep learning curve, coupled with a supportive and collaborative team
• The opportunity to contribute from day one