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- Tasks: Lead innovative data science projects tackling real-world challenges in competition and regulation.
- Company: Join Compass Lexecon, a top economic consultancy shaping markets with data-driven insights.
- Benefits: Enjoy competitive salary, diverse projects, and a supportive international team.
- Why this job: Be at the forefront of data analytics, mentoring others while advancing your skills.
- Qualifications: Master's degree and 4+ years in data science; proficiency in Python, R, and cloud platforms required.
- Other info: Diversity is valued; apply even if you don't meet every requirement.
The predicted salary is between 42000 - 84000 ÂŁ per year.
Join to apply for the Senior Data Scientist role at Compass Lexecon
Join to apply for the Senior Data Scientist role at Compass Lexecon
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.
- 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
- 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
Worried that you might not tick all the boxes? Studies show that women and ethnic minorities are less likely to apply for jobs unless they are 100% certain that they fulfil every criterion.(1) We believe that working in diverse teams, where everybody’s views are considered and respected, helps us to deliver work of the highest standards of quality and integrity; so even if you feel like you might not check every box, we encourage you to submit an application if Compass Lexecon is somewhere that you would like to work.
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Senior Data Scientist employer: Compass Lexecon
Contact Detail:
Compass Lexecon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in data science, particularly in economic consulting. Understanding how data analytics is applied to competition policy and regulatory challenges will give you an edge during discussions.
✨Tip Number 2
Network with current or former employees of Compass Lexecon. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented data science solutions. Be ready to explain your thought process and the impact of your work on business outcomes.
✨Tip Number 4
Highlight your mentoring experience in your conversations. As a Senior Data Scientist, you'll be expected to guide junior team members, so showcasing your leadership skills will be crucial.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly focusing on your proficiency with Python, R, SQL, and any cloud computing platforms you've used. Emphasise your ability to translate business problems into data science solutions.
Craft a Compelling Cover Letter: In your cover letter, clearly express your interest in the Senior Data Scientist role at Compass Lexecon. Mention your preferred office location and provide specific examples of how your past experiences align with the responsibilities outlined in the job description.
Showcase Your Projects: Include a section in your application that showcases key projects you've worked on. Highlight any complex data science solutions you've designed and implemented, especially those that relate to competition policy or regulatory challenges.
Highlight Mentorship Experience: If you have experience mentoring junior team members or conducting training sessions, make sure to include this in your application. This aligns well with the role's requirement to mentor others and contribute to team development.
How to prepare for a job interview at Compass Lexecon
✨Showcase Your Technical Skills
As a Senior Data Scientist, you'll need to demonstrate your proficiency in Python, R, SQL, and data science tools. Be prepared to discuss specific projects where you've applied these skills, especially in areas like machine learning and natural language processing.
✨Understand the Business Context
Compass Lexecon focuses on real-world competition and regulatory challenges. Make sure you can articulate how your data science solutions have addressed business problems in the past, and be ready to discuss how you would approach similar challenges for their clients.
✨Prepare for Case Studies
Expect to work through case studies during your interview. Brush up on your problem-solving skills and be ready to think critically about how to apply data science techniques to complex economic issues. Practice explaining your thought process clearly and logically.
✨Highlight Mentorship Experience
Since mentoring junior team members is part of the role, share examples of how you've supported others in their development. Discuss any training sessions you've conducted or tools you've developed to enhance team capabilities, showcasing your leadership potential.
