Locations: Berlin, London or Oxford

Duration: 3–6+ months, year round

Please note: you may only apply for one position with us, so take the time to consider the location and Centre of Excellence.

Before applying, please ensure to check our FAQ for important information about eligibility and the application process.

We strongly believe in the positive potential of AI and actively support its responsible use in the workplace. However, applications that use AI to generate a cover letter will be rejected, and the use of AI during any interviews or written exams will also result in rejection.

Whether they’re being made in the boardroom or the courtroom, good decisions rely on good evidence. Understanding what data to collect, how to analyse it, and how to draw out the relevant insights is vital to providing evidence that decision-makers can rely on.

Our team has extensive experience of providing data-led causal and predictive insights using methods from the fields of econometrics, statistics, data science, simulation and experimental design. Our multidisciplinary approach enables us to harness the best of these methods and apply our expertise in numerous sectors and geographies.

Your role in the team

• Collaborate closely with colleagues, clients and academics to resolve complex issues using causal inference methods on unique and complex datasets.
• Conduct empirical and quantitative analysis in Excel, Stata, R and/or Python, with a focus on advanced methods in econometrics and machine learning.
• Contribute to writing reports, presentations and articles to communicate research insights effectively to both technical and non-technical audiences.
• Actively contribute to the Analytics and Data Science team.
• Engage with others across teams to share expertise and continuously learn from peers.

What we’re looking for

• An excellent academic record, with an undergraduate or postgraduate degree in a quantitative field such as economics, emphasising statistics and/or computer science.
• Strong problem-solving abilities, and analytical and communication skills. Previous experience of producing insights and providing recommendations within a client-facing context is advantageous.
• Experience in machine learning and statistical programming.
• Essential: proficiency in using Stata, R or Python for data wrangling, causal analysis, hypothesis testing and data visualisation. Familiarity or interest in learning other statistical programming languages is desirable. Proficiency in Excel is a plus.
• Strong ability to communicate empirical findings clearly through compelling visuals that simplify complex datasets or results.

What we can offer you

• A highly competitive salary.
• An opportunity to make an impact and shape the economics landscape by working with regulators, state departments, competition authorities, law firms and other private clients and stakeholders.
• A supportive, multicultural work environment, with the option of employee mobility.
• A collaborative working environment, with client exposure from day one.
• The opportunity to work with some of the brightest and most experienced minds in the industry.
• A structured career path, with ongoing training, mentorship and development opportunities to help you grow.
• A commitment to fostering an inclusive workplace where diversity is celebrated and everyone is empowered to contribute.

Oxera is an equal opportunities employer and values diversity at all levels of the organisation. We encourage applications from all qualified candidates regardless of race, gender, disability, religion/belief, sexual orientation or age.