About the role

  • 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.
  • Conduct advanced training sessions and develop sophisticated tools to enhance how economists work with data.

Requirements

  • 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 proven track record of translating business problems into data science solutions.
  • Proficiency in Python, R, and SQL, with experience developing production-level code and working effectively with relevant libraries and frameworks, as well as hands-on proficiency with NoSQL databases such as MongoDB.
  • Possess practical experience with a range of data science methods and concepts, such as data engineering workflows, machine learning, natural language processing, with the ability to quickly learn new tools as needed.
  • Hands-on experience with cloud computing platforms (Azure, AWS, or GCP) and container technologies (such as Docker) in collaborative project environments.
  • Solid understanding of data engineering principles including data modelling, ETL processes, and building data pipelines.
  • Strong organizational skills, able to independently manage multiple projects and deliverables on time.
  • Excellent teamwork and communication skills, with demonstrated ability to share knowledge and present findings clearly to both technical and non-technical colleagues.

Benefits

  • Equal opportunities employer
  • Diverse teams considered and respected

Job title

Data Scientist

Job type

Experience level

JuniorMid level

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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