Customer Insights Data Scientist

Requirements Must have: Master’s degree in Statistics, Mathematics, Decision Sciences, Actuarial Science, or a related analytical STEM field, alongside five years of experience, or any acceptable equivalent of education and work experience. Strong focus on mathematics, including statistics and programming, business intelligence/analytics, plus experience in data science tools and research utilizing large data sets. Subject matter expertise in modeling/research/analytics or actuarial science is a must. Expertise in value creation and business model concepts; proficiency in multiple statistical software programs. Ability to construct highly complex models, interpret results, and recommend modifications. In-depth knowledge of advanced statistics related to data models; capability to apply emerging statistical methods to complex tasks. Proficient in 3-5 areas such as Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning, and Statistical modeling. Expertise in Python/R, Databricks, SQL. Experience in cross-functional or enterprise roles; familiarity with financial linkage models and Bayesian models is an advantage. Knowledge of customer experience domain and survey data is favorable. Responsibilities: Lead business or technical initiatives focusing on the design or development of analytical solutions. Spearhead the establishment of community best practices in AI/Machine Learning, statistical techniques, and coding practices. Foster a culture of knowledge sharing through discussions, presentations, or peer reviews. Challenge traditional viewpoints where relevant and persuade peers and leadership to embrace new ideas. Provide strategic guidance based on technical expertise to team members. Manage expectations with business partners across multiple projects, generate ideas, build consensus, and mitigate potential conflicts. Communicate analysis, insights, and findings effectively to teams, peers, and business partners. Collaborate with cross-functional teams and leaders to ensure successful execution of data science strategies. Serve as a mentor for less experienced analytic professionals, assist in onboarding new employees and interns, and support recruitment and talent assessment initiatives. Work alongside Senior Staff Data Scientists on training and skill development efforts, including delivering training sessions to the analytics community. Undertake additional tasks as assigned, demonstrating thought leadership in identifying and addressing business process gaps and creating a strategic vision. Company: At Travelers, we are dedicated to caring for our customers, communities, and each other. This reflects our commitment as we have upheld our standing as one of the leading property casualty insurers for over 160 years. We invite you to explore a culture founded on innovation and collaboration. In terms of compensation, the annual base salary range for this role is between $157,000.00 – $259,200.00, influenced by various factors such as role complexity, candidate qualifications, and location. Additionally, we offer performance-based cash incentives as part of our extensive compensation package. Your well-being is important to us. Our health insurance options start from day one of employment for you and your eligible family members. We also provide retirement benefits including a 401(k) match and a fully funded Pension Plan. You will begin your career with at least 20 days of paid time off each year, plus nine holidays. Our wellness program includes resources to help you achieve your health goals, and you will have opportunities to volunteer in your community with our Matching Gift and Volunteer Rewards program. We pride ourselves on being an equal-opportunity employer and value the diverse abilities and skills each person brings to our organization. We are committed to creating an inclusive work environment. If you are located in Colorado, you are not required to disclose specific educational dates when applying for employment. For more information about our comprehensive benefits, please visit our careers page. We reserve the right to fill this position at a level different from the one stated in this announcement. #J-18808-Ljbffr

Created: 2025-09-21