WHAT MAKES US A GREAT PLACE TO WORK

We are proud to be consistently recognized as one of the world’s best places to work. We are currently the #1 ranked consulting firm on Glassdoor’s Best Places to Work list and have maintained a spot in the top four since the list began in 2009.
Extraordinary teams are at the heart of our business strategy—but they don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive—professionally and personally.

REQUIRED QUALIFICATIONS

• Advanced degree in a quantitative field or relevant undergraduate degree with 2+ years of experience in data science or advanced analytics
• Proficiency in Python, with additional languages considered a plus
• Familiarity with GenAI concepts including LLMs, prompting, semantic search, and integration into applications
• Understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
• Professional fluency in English and German
• Experience with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, H2O, MXNet, MLlib)
• Strong foundation in mathematics and statistics
• Effective communication and interpersonal skills, particularly when translating technical topics to non-technical stakeholders

• Work closely with consulting teams and clients to understand business problems and translate them into structured, prioritized data science initiatives
• Develop tools for data acquisition, transformation, and management of large and complex datasets
• Prototype, test, and deploy machine learning models across a wide variety of data types—from small-scale to massive datasets
• Build re-usable frameworks, models, and components that address recurring use cases across industries and functions
• Maintain high standards in code quality and model reproducibility, enabling scalable deployment and model reuse
• Stay up to date on the latest data science techniques and tools to enhance Bain’s capabilities
• Travel is required (~3 days every other week)
• This position is based in Munich or Berlin