Intern - Data Science

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.

• 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.

• 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.