Executive Data Science Leader – AI Strategy & Impact

Travelers Companies, Inc.; Hartford Township (OH); On-site; USD 192,000 - 316,000; Full time

Benefits offered by this job

Health Insurance

401(k) Matching

Pension Plan

Paid Time Off

Wellness Program

Volunteer Rewards

Job summary

Travelers Companies, Inc. is seeking an AVP & Data Scientist in the United States to lead a team of data scientists, apply advanced statistical techniques, and influence strategic decisions. The role focuses on driving analytics into products, partnering with technology and business leaders to deliver impactful insights.

The ideal candidate has extensive leadership experience and strong expertise in statistics, ML, and modeling within a financial services context.

Qualifications

• Master's in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus seven years of experience.
• Strong mathematics, statistics, and programming focus with data science tools and large data sets.
• Experience presenting to executives and collaborating with stakeholders.

Responsibilities

• Present analysis, insights, results and recommendations to executives for decisions.
• Lead portfolio of projects and managers and influence business outcomes.
• Drive teams to execute data science strategies and recruit/talent assess.
• Collaborate across platforms to benchmark models and measure performance.
• Mentor team members and share knowledge enterprise-wide.

Skills

Team leadership

Data science

Statistical modeling

Machine learning

Executive communication

Negotiation

Stakeholder collaboration

Education

Master's in STEM

Job description

Travelers Companies, Inc. is seeking an AVP & Data Scientist in the United States to lead a team of data scientists, apply advanced statistical techniques, and influence strategic decisions. The role focuses on driving analytics into products, partnering with technology and business leaders to deliver impactful insights.

The ideal candidate has extensive leadership experience and strong expertise in statistics, ML, and modeling within a financial services context.