Junior Data Scientist (Intern)

We’re looking for someone who is junior but job-ready - able to contribute independently while still growing their skills. You should have:

• ~1 year of practical experience in data science, machine learning, or data engineering (internship, research, or industry).

• Strong skills in Python (Pandas, NumPy, Scikit-learn, etc.).

• Experience with SQL and working with structured data.

• Knowledge of ETL pipeline design and data wrangling.

• Familiarity with MLOps tools such as Airflow or MLflow.

• Solid understanding of machine learning fundamentals (training, validation, evaluation, deployment).

• An advanced degree in Computer Science, Mathematics, Statistics, or another quantitative discipline.

• The ability to communicate clearly, explain your approach, and work well with both technical and non-technical team members.

NICE TO HAVE

• Experience with graph databases (e.g., Neo4j) and writing Cypher queries.

• Exposure to large language models (LLMs) and their ecosystem (prompt engineering, RAG, CrewAI, Agno, LangChain, or LangGraph).

• Hands-on experience with ML frameworks such as PyTorch or TensorFlow.

• Familiarity with deploying models on cloud platforms (AWS, GCP, or Azure).

• Ownership of projects with a focus on outcomes rather than time-tracking

• Fast-paced yet collaborative culture fostering individual performance and teamwork

• Competitive compensation based on experience

• Subsidized Urban Sports Club membership 

• Subsidized Deutschlandticket

• Hybrid work format

• Beautiful office located in the heart of Prenzlauer Berg, Berlin

• Regular team building events, company breakfasts and Friday drinks