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.
WHO YOU’LL WORK WITH You’ll join our Data Science & Machine Learning Engineering guild within the AI, Insights & Solutions (AIS) team. This group is part of Bain’s digital capabilities practice, which includes experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges. You’ll work on integrated teams alongside our general consultants and clients to develop data-driven strategies and innovative solutions. Together, we create human‑centric solutions that harness the power of data and artificial intelligence to drive competitive advantage. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.
WHERE YOU’LL FIT WITHIN THE TEAM As a Data Scientist in the growing Data Science team within Bain’s Insight, AI & Solutions practice, you’ll play a hands‑on role developing impactful machine learning solutions and tools that tackle complex business challenges across industries.
Required Qualifications
Nice to Have
Not Applicable
Full‑time
Engineering and Information Technology
Business Consulting and Services
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#J-18808-LjbffrVeröffentlichungsdatum:
11 Dez 2025Standort:
BerlinTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
Angestellt
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