Data Scientist

About Us

The Technopolis Group is an international research and consulting company for the public sector with over 300 colleagues at twelve locations in Europe, Africa, and Latin America – nearly 50 of them in Germany and Austria. We support policy instruments, often as external evaluators, such as funding programs in various thematic areas. Our team analyzes and designs policy programs for regional, national, and international public clients in the following areas:

• Research & Innovation Policy
• Green Economy & Climate Policy
• Digital Transformation
• Education, Skills & Employment
• International Cooperation and Development Cooperation
• Regional Development & Cohesion Policy
• Entrepreneurship & Innovation Financing

To strengthen our Data Science Unit (DSU), we are looking for an experienced, enthusiastic Data Scientist for evidence-based policy consulting using data science methods. The twenty-person DSU team is spread across several international Technopolis locations and combines diverse academic backgrounds from astrophysics to psychology. We promote openness, collaboration, and diversity and share a passion for developing data science applications for evidence-based policymaking.

Our projects include, among others, the development of a technology readiness level determination tool for the German Cyber Agency, an AI-based mapping of research utilization for the Austrian Research Promotion Agency (FFG), and data-based modeling of the climate net benefit of digital technologies, including dashboard integration for the German Energy Agency (dena). In addition to policy consulting, the DSU also conducts its own research and development in the field of innovative data applications – often in collaboration with internal and external partners. Our focus is on data consolidation (e.g., via API), automated analysis of structured and unstructured data, and the development of data-driven models and visualization solutions. We use methods such as entity resolution, machine learning and NLP (Natural Language Processing) models, web scraping, feature engineering, and interactive visualizations. Current focus areas are real-time indicators, causal inference, and generative AI. Experience or willingness to learn in these areas is therefore particularly desirable.

YOUR TASKS

• Implement suitable data science methods in science-based consulting projects for the analysis and evaluation of policy programs and trends
• Project management/leadership in agile contexts and preparation of results tailored to the audience based on independent conceptual and empirical work
• Project acquisition (concept and proposal preparation) as well as networking with cooperation partners and relevant stakeholders
• Conduct data-driven analyses using modern AI and data science methods in Python-based, scalable analysis environments
• Develop and implement robust data pipelines for the extraction, transformation, and integration of heterogeneous data sources, ensuring data quality and validation
• Conceive and develop interactive dashboards for the visualization and communication of data-driven insights tailored to the audience

YOUR PROFILE

• Completed studies in a relevant field, solid empirical methods knowledge, ideally in the context of policy consulting. Additional studies or equivalent professional experience in modern data science and computer science methods

• At least three years of relevant professional experience in the application of advanced data science methods (beyond basic statistics/econometrics) in the public policy context

• Sound knowledge of Python is required, knowledge of SQL and R is advantageous

• Very good language skills in German and English, other languages are an advantage

• Experience with open data sources, GitHub, database consolidation, data processing, and web scraping

• Good communication skills and the ability to work in an international and multicultural environment

• Desirable experience and competencies:

  1. Experience with NLP and knowledge extraction is particularly desirable
  2. Knowledge and interest in machine learning methods for classification are a plus
  3. Experience with Microsoft Azure in building data science workflows and in governance and MLOps contexts
  4. General understanding of the field of science, technology, and innovation, as well as experience in collaborating with policymakers and knowledge of handling economic and innovation-related data are advantageous

OUR OFFER

• We offer a meaningful and socially impactful work environment through close project collaboration with public institutions.
• We offer permanent employment full-time or part-time in a growing company. Subsidies for using environmentally friendly modes of transport (public transport or job bike), for an Urban Sports Club membership, and, depending on the location, a company pension plan complete the offer.
• We enable flexible working with attractive workplaces and home office options through mobile-capable equipment (MacBook & iPhone).
• As an innovative company, we promote the further development of our employees through internal and external training opportunities. We promote independence and initiative for the expansion and further development of our activities through flat hierarchies and an open corporate culture.
• We value a pleasant working atmosphere and live this, for example, through collegial, trusting interaction, but also, for example, through regular team events, including events for all Technopolis office colleagues worldwide. We maintain exchange with our sister offices in Europe, Africa, and Latin America.
• Technopolis is solely owned by its employees; there are no external investors. Prospectively, all employees can become shareholders of the Technopolis Group. Regardless of this, our entire team regularly participates in the company's success.

Interested?

Even if you don't meet all the requirements, feel free to apply. You might be exactly the right person for this position. We value diversity and therefore welcome all applications – regardless of gender, nationality, ethnic and social origin, religion/belief, disability, age, or sexual orientation and identity.

We look forward to getting to know you! Please upload your German-language application (cover letter, CV without photo, work references, and relevant university certificates summarized under "Other" in one PDF, as well as a German and English text sample each) on our website, stating your location preference, salary expectations, desired working hours, and earliest possible start date.

For questions, please contact our Recruiting Assistant, Susann Reinsch (susann.reinsch@technopolis-group.com).

Application deadline is June 10, 2026. Interviews may be conducted before the application deadline.

Technopolis Deutschland GmbH Querstrasse 4 60322 Frankfurt https://www.technopolis-group.com/de/