The Boston Consulting Group-posted 6 months ago
Oslo, MN
5,001-10,000 employees
Professional, Scientific, and Technical Services

Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.

  • Own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions.
  • Enable colleagues and clients to fully embrace AI.
  • Apply data science methods and analytics to real-world business situations across industries to drive significant business impact.
  • Partner with clients in a variety of BCG regions and industries on key topics like climate change.
  • Develop and deliver thought leadership in scientific communities and papers.
  • Lead conferences on behalf of BCG X.
  • Comfortable in a client-facing role with the ambition to lead teams.
  • Ability to distill complex results or processes into simple, clear visualizations.
  • Explain sophisticated data science concepts in an understandable manner.
  • Love building things and are comfortable working with modern development tools and writing code collaboratively.
  • Significant experience applying advanced analytics to a variety of business situations.
  • Proven ability to synthesize complex data.
  • Deep understanding of modern machine learning techniques and their mathematical underpinnings.
  • Strong project management skills.
  • Software development or DevOps experience.
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