Experienced Data Scientist - Chief Economist Department

The Economic and Market Analysis (EMA) division is seeking an experienced Data Scientist to join its team. The ideal candidate will possess strong analytical skills and a passion for leveraging large amounts of data to inform decision-making processes. You will play a critical role in providing insights to macroeconomic and financial developments as well as risks in euro area countries. You will report to the Head of Economic and Market Analysis. The Economic and Market Analysis division monitors and analyses aggregate and cross-country euro area and global macroeconomic and financial market trends and risks and coordinates economic research and modelling activities. To this end the division analyses large data sets including corporate micro data, fixed income, derivatives pricing, etc. The division also conducts modelling and policy-relevant research. KEY ACCOUNTABILITIES Develop and maintain reproducible data pipelines, analytical datasets and data services that support the division’s policy, monitoring and research activities. Contribute to the design, governance and evolution of the division's data architecture, data standards and dissemination processes. Promote automation, reproducibility and efficiency across the division's data-related workflows. Develop and maintain statistical, econometric and data-driven analytical tools, models and supporting infrastructure to underpin the division’s policy, monitoring and research activities. Apply advanced analytical techniques, including machine learning and interactive data visualisation. Contribute to policy design and to the translation of analytical results into operational action. Identify and evaluate data sources, analytical tools and relevant research developments that enhance the division's analytical capabilities. Monitor and analyse macroeconomic and financial market developments in euro area member states, the euro area at large, and the global economy. Conduct targeted ad-hoc quantitative analysis on topics of relevance to the division. Collaborate closely with internal technology, data and software development teams to support the delivery of analytical solutions. Support strategic initiatives aimed at strengthening the division's data, analytics and digital capabilities. KEY BACKGROUND & EXPERIENCE Master’s degree or PhD, in data science, finance, statistics, economics, mathematics, physics, or other closely relevant field. At least two years of relevant work experience are required. For PhD holders, up to two years of relevant research work performed in the context of PhD studies can be considered as relevant work experience. Experience in quantitative analysis applied to macroeconomic, financial market or other large-scale economic and financial datasets. Familiarity with a broad range of commonly used databases and data providers for macroeconomic and financial data (e.g. Datastream, Bloomberg, Haver Analytics, Dealogic, SNL, etc.) and official financial sector statistics (e.g. those produced by the European Central Bank, Eurostat and the Bank for International Settlements). Experience with relational databases (e.g. PostgreSQL) and data modelling. Experience with data visualisation and business intelligence tools (e.g. Power BI). Good knowledge of macroeconomics, including quantitative/econometric skills. Proven programming skills in Python. Experience with Matlab and other statistical packages is an advantage. Experience with machine learning and other advanced analytical techniques would be an asset. Familiarity with modern software development practices, including Git-based workflows, automated testing, CI/CD pipelines (e.g. Jenkins), and collaborative software development. Experience working with APIs, data integration workflows, or analytical data platforms would be an advantage. Some experience in international and European financial institutions is a plus. Excellent oral and written English skills. KEY COMPETENCIES Analytical and problem-solving skills Critical and innovative thinking Communication and interpersonal skills Adaptability and resilience Collaboration and knowledge sharing Curiosity and continuous learning Commitment to diversity and inclusion PRACTICAL/ADDITIONAL INFORMATION Applicable employment grades: Officer Deadline for application: 22 September 2026 Contract duration: Four years, with possibility of extension Place of employment: Luxembourg Current working arrangements: possibility to work remotely, normally up to two days a week, from Luxembourg and the border region (or from further away under certain conditions). The ESM aims to provide equal opportunity to all candidates irrespective of their gender, nationality, age, race, culture, education, religious beliefs, sexual orientation, or disability. To further enhance the diversity of our workforce, we particularly encourage women to apply. Note 1: the ESM reserves the right to refrain from hiring, or to slightly modify job responsibilities, as needed. Note 2: As a result of the selection process, please note that you may be placed on a ‘reserve list’ valid for a duration of six months during which you might be considered for a similar position with a similar level of requirements. Only those candidates who have been notified will be placed on the ‘reserve list’. After this period, you will need to apply again for our vacancies to be considered for a different selection process.