Engagement Manager / Lead Data Scientist

Job Description:

Expected to lead & deliver an analytics program based out of client location (Columbus, Ohio). This will include problem solving, advanced analyses, model development, optimization & deployment and compelling visualizations to make the solutions scalable. The Engagement Manager will effectively collaborate with Account owner and lead a team of data scientists to manage, consult and deliver end to end solution.

Responsibilities:

  • SPOC for client stakeholders
  • Developing business cases to justify rationale for various analytics initiatives & build project pipeline
  • Hands-on problem solving, advanced analysis, solution development, optimization & deployment (model and/or dashboard
  • Presenting analyses outputs to client(s)
  • Managing day-to-day project deliverables either independently and/or in close coordination & collaboration with offshore team
  • Client communication
  • Project/Program Management
  • Ensure regular client updates & project review meetings
  • Thought leadership/partnership
  • Client management and relationship development
  • Sales support & account growth
  • Firm building initiatives including coaching & grooming the team on various themes/topics.
  • Traveling upto 50% required.

Qualifications:

  • 8+ years of overall experience with at least 4-5 years of rigorous hands on work pertaining to (but not limited to) problem solving, advanced analysis, model building, optimization, dashboarding, operationalizing developed solutions, etc.
  • Graduate or Under-graduate degree holder in Statistics/Mathematics/Economics/Science/Engineering/Business Management
  • Any industry certification(s) related to Data Science techniques & platforms/Big Data technologies/Visualization tools/Program management
  • At least 2-3 years working experience in P&C Insurance domain

Must have skills:

  • Knowledge of P&C insurance specially in Underwriting, Pricing and Claims
  • Hands-on experience in SAS and R/Python (2+ yrs), SQl (2+), Machine Learning / Deep Learning (2+ years)
  • Strong presentation and communication skills
  • Project Management (scope, schedule, risks, issues)

Good to Have:

  • Actuarial Science knowledge