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

As a Data Scientist intern, you will play a pivotal role in supporting Oxera projects and business development initiatives across our products, sectors, and geographies. You will be required to do the following.

• Collaborate closely with colleagues and clients to resolve complex issues together by developing data science products and solutions.
• Build datasets, validate data, implement causal inference or predictive methods from the data science toolbox, and present your work with impactful and interactive visuals and reports.
• Collaboratively write reports, presentations, and articles to communicate research findings effectively, including to nontechnical audiences.
• Participate in the activities of the Analytics and Data Science team as a member of its Data Science cluster.

What we’re looking for

• A well-established understanding of data science methods for causal and/or predictive analysis.

• An excellent academic record, with an undergraduate or postgraduate degree in a quantitative field, for example computer science, mathematics, or data science, with a significant focus on using data science methods for causal inference and/or prediction. 

• A solid background in other analytics fields, e.g. econometrics, is a plus. If a relevant degree is not available, a proven track record of robust, reliable and insightful data analysis with a focus on implementation of data science methods for causal inference and/or prediction is a must have.

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.