Junior Consultant Data & AI

Your impact

• You will be independently responsible for specific aspects of our clients’ international data science and analytics projects.
• You will provide our clients with comprehensive advice – from setting up robust data pipelines to developing production-ready machine learning models.
• You will play an active role in shaping the interface between modern cloud infrastructure, data engineering and advanced analytics.
• You will independently deploy AI and data science models into productive, scalable systems (MLOps).
• You will pass on your knowledge to junior colleagues, contribute to our growing Data & Analytics community and foster professional exchange.
• You will help to further develop our methods and standards in the field of Data & AI.

Your profile

What you should bring to the role:

• A degree in Computer Science, Business Informatics or a comparable IT-related discipline, as well as approximately 2–4 years’ professional experience in data science, data engineering or analytics projects.
• Proficiency in Python and SQL, as well as practical experience in building ETL/ELT pipelines (e.g. using Airflow, dbt or Spark).
• Practical experience with at least one cloud environment (AWS, Azure or GCP), as well as initial experience in the production deployment of ML models (MLOps) or data products (DataOps).
• A sound understanding of statistics, experience in developing machine learning models, and practical exposure to GenAI/LLM applications.
• Excellent communication skills, experience in independently advising clients, and confidence in using visualisation/BI tools (e.g. Power BI, Tableau) to present results.
• Good command of German and English for working on international projects.

An advantage, but not essential:

• Experience with modern GenAI frameworks such as LangChain or RAG architectures (vector databases, embeddings, prompt engineering).
• Existing cloud certification (e.g. AWS, Azure or GCP) or an interest in obtaining it whilst working with us.
• Strong adaptability – you quickly find your feet in different client contexts and teams.
• A solution-oriented approach, even under time pressure, and a willingness to take on technical responsibility in sub-projects.
• Experience in handling large volumes of structured and unstructured data.
• Willingness to work on projects – we will discuss the exact terms and conditions together.

Our offer

• We offer you a structured induction programme during your first few months, so you aren’t thrown in at the deep end.
• You’ll be able to take the lead on projects involving direct client contact right from the start.
• You’ll receive a structured onboarding process and have experienced colleagues as mentors.
• You’ll have access to certifications (e.g. cloud platforms) and training courses to support your professional development.
• We offer you the opportunity to take responsibility for sub-projects and specialist topics within a growing Data & Analytics community.
• You’ll find a growing Data & Analytics community where you can develop both professionally and personally.
• We are a financially stable and independent company and offer you a secure job in a forward-looking industry.
• We foster a culture of informality and an open, supportive working environment with colleagues from diverse nationalities.
• You’ll become part of a dedicated, international team in a friendly, family-like atmosphere
• You’ll be part of a team that embodies team spirit, creativity and personal responsibility
• Everyone here receives communication training in ‘Non-Violent Communication’
• We offer you an attractive salary and profit-sharing scheme (annual salary: approx. €70,000 – €90,000, including a variable component, depending on qualifications and seniority)
• You’ll work in a beautiful, modern and centrally located office in Munich, Hamburg or Frankfurt am Main
• You’ll have the option of a mix of on-site and remote working
• We regularly organize team and company events at our locations
• You’ll have 30 days’ annual leave and additional special leave options
• You can get involved in various topics and contribute to internal communities