Graduate Analyst, Data Science

Role Overview

• 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.
• Engage with other clusters of the team, share your knowledge and learn from others.

Requirements

• 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.
• 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, for example 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.

Tech Stack

• Pandas
• Python
• Scikit-Learn
• Spark
• Tableau

Benefits

• 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 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.