Graduate Analyst - Data Science

Locations: Berlin

Our Analytics and Data Science team specializes in the application of cutting‑edge quantitative methods in Econometrics, Statistics, and Data Science. We leverage advanced methods to extract, transform, load and analyse data, delivering valuable insights to our clients through high‑quality outcomes and impactful narratives. We are an international team, and work across several geographies—wherever data‑driven insights and innovative analytical approaches are needed.

Your role in the team

• 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 non‑technical audiences.
• Participate in the activities of the Analytics and Data Science team as a member of its Data Science cluster. Engage with other clusters of the team, share your knowledge and learn from others.

What we can offer you

• An opportunity to make an impact and shape the economic landscape by working with regulators, state departments, competition authorities, law firms and other private clients and stakeholders.
• A learning and caring culture.
• Highly competitive salary and bonus package with comprehensive benefits.
• A multinational, multidisciplinary and collaborative work environment, with the option for employee mobility across our offices.
• 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.
• First‑class, hands‑on learning and structured training and development opportunities.

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.
• Strong problem‑solving abilities, analytical skills and a client focus.
• Knowledge of supervised and unsupervised learning algorithms is required. Previous experience in applications of these algorithms is a plus.
• Knowledge of implementing data science methods on distributed datasets, e.g. using Spark ML is a plus.
• Knowledge of text, image and other unstructured data processing is a plus.
• Knowledge of building simulation or agent‑based models is advantageous.
• Knowledge of working with NLP models is a plus.
• An interest in working on complex economic issues as a part of a team of economists, econometricians or statisticians and other data scientists in a multidisciplinary environment.
• Proficiency in using at least one of R or Python for data wrangling (e.g. tidyverse, pandas), causal or predictive analysis (e.g. tidymodels, scikit‑learn) and data visualisation (e.g. ggplot2, seaborn) is essential. If familiar with only one of these languages, an interest in learning the other is desirable. Familiarity with Stata and Excel is a plus.
• A keen eye for communicating empirical insights impactfully and an interest in transforming complex data sets or outcomes into visually appealing and easy‑to‑understand graphics, charts, and interactive dashboards, for example using Tableau, Power BI or R Shiny is a plus.
• Highly motivated and committed team player with a curiosity for economics, econometrics, statistics and programming and a desire to learn about them.
• In addition to excellent spoken and written English, fluency in a different language, particularly in one of the languages of Oxera’s core geographies, is advantageous.

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.