KPMG-posted about 1 year ago
Full-time • Manager
Philadelphia, PA
Professional, Scientific, and Technical Services

The Manager, Data Scientist at KPMG's Lighthouse Consulting practice is responsible for leveraging advanced analytics and emerging technologies to solve complex business problems across various industries. This role involves leading teams, translating business analytics challenges into technical solutions, and communicating results to stakeholders. The position requires a blend of technical expertise in data science, machine learning, and artificial intelligence, along with strong leadership and communication skills.

  • Translate advanced business analytics problems into technical approaches that yield actionable recommendations.
  • Communicate technical details of solutions to business stakeholders across various industries.
  • Plan engagement objectives, key deliverables, and deliver on engagement milestones by following analytics processes.
  • Work with clients to discover, retrieve, prepare, and process a variety of data sources.
  • Collaborate with KPMG's other areas within Tax, Audit, and Advisory to advance client understanding of Data Science and AI.
  • Lead multi-disciplinary and cross-functional teams to iterate models and results.
  • Utilize structured approaches to solving problems and managing risks.
  • Communicate results to executive-level audiences.
  • Provide expert oversight for teams building machine learning algorithms and data science solutions.
  • Minimum of five years of experience leading teams of at least five data scientists and analytics professionals.
  • Master's degree in Computer Science, Statistics, Data Science, Engineering, or related fields; PhD preferred.
  • Proficiency in delivering analytics projects with expert knowledge of data discovery, cleaning, model selection, validation, and deployment.
  • Ability to apply artificial intelligence techniques to achieve business goals.
  • Experience with SQL and cloud technology preferred.
  • Ability to work in Linux and/or cloud environments.
  • Experience with command-line scripting, data structures, and algorithms.
  • Fluency in Python or R.
  • Disability insurance
  • Health insurance
  • Dental insurance
  • 401(k)
  • Vision insurance
  • Life insurance
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