Bain & Company

Senior Data Science

Stellenbeschreibung:

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.

WHAT YOU’LL DO

  • 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. This position requires regional travel away from your home office/primary working location. Travel frequency and destinations will vary based on project needs

ABOUT YOU

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

Nice to Have

  • Masters or PhD in a relevant field
  • Experience working in cross‑functional teams and fast‑paced environments

Seniority level

Not Applicable

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

Business Consulting and Services

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Stelleninformationen

  • Veröffentlichungsdatum:

    11 Dez 2025
  • Standort:

    Berlin
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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