WTW · 1 week ago
Associate Director – Data Scientist for North America
WTW is looking for an experienced P&C data scientist in the North American market with predictive modelling, advanced analytics, and AI experience. In this role, you will collaborate with a team of experts to design and implement cutting-edge solutions for the top insurers, driving performance improvement through technology.
Responsibilities
Develop integrated consulting and technology solutions for our clients
Combine extensive knowledge of data science market practice in an insurance context and innovation to build robust analytics processes that deliver insights to decision makers at the point of decision making
Develop and implement data strategies for clients
Design, build, test and run data science processes for clients
Design data science technology infrastructures for clients’ analytical and operational functions
Build effective predictive models, analytical tools, and processes using a wide range of analytical and data science techniques inclusive of AI
Contribute to the development of WTW’s intellectual capital and future proposition development, including AI and go-to-market strategy
Prepare proposals and presentations leveraging marketing resources, practice groups, subject matter experts and client relationship managers for existing clients
Serve as a mentor and project manager to more junior colleagues, training them on both the technical and theoretical aspects of insurance as well as project delivery methods
Meet billable hour target and revenue goals, operating as a highly respected and effective consultant
Qualification
Required
At least 5 years P&C insurance experience
At least 5 years predictive modeling experience
Knowledge of North American insurance marketplace and carriers
Experience working on a data science or analytics team at an insurance company or consulting firm
Strong analytical skills including ability to draw conclusions and identify trends from data in a logical, systematic way
Solid experience with data manipulation
An understanding of machine learning and statistical theory
An understanding of how to utilize technology to optimize outcomes within an organization
Awareness of main data enrichment sources and open-source data assets most valuable to insurance companies
Awareness of Insurtech activities in this space
Capable of leveraging past experience and expertise to adapt to current projects and challenges outside of core skill set
Comfortable navigating ambiguity and developing innovative solutions
Committed to training and mentoring less experienced colleagues
Practiced in managing complex projects and delegating work to senior and junior colleagues
Available to travel as needed
Preferred
Experience with WTW technology solutions (notably Radar and Emblem) and Python
Experience leading or participating on actuarial or underwriting transformation projects
Experience applying data science to pricing, underwriting, and claims projects
Experience incorporating AI applications into daily workflows and analytical projects
Professional designation such as CSPA or ACAS
Benefits
Health and Welfare Benefits: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Group Accident, Group Critical Illness, Life Insurance, AD&D, Group Legal, Identify Theft Protection, Wellbeing Program and Work/Life Resources (including Employee Assistance Program)
Leave Benefits: Paid Holidays, Annual Paid Time Off (includes state/local paid leave where required), Short-Term Disability, Long-Term Disability, Other Leaves (e.g., Bereavement, FMLA, ADA, Jury Duty, Military Leave, and Parental and Adoption Leave), Paid Time Off (only included for Washington roles)
Retirement Benefits: Qualified contributory pension plan (if eligible) and 401(k) plan with annual nonelective company contribution. Non-qualified retirement plans available to senior level colleagues who satisfy the plans’ eligibility requirements.
Company
WTW
WTW is a global advisory and solutions company that helps clients around the world turn risk into a path for growth.
Funding
Current Stage
Public CompanyTotal Funding
$1.75B2025-12-15Post Ipo Debt· $1B
2024-02-28Post Ipo Debt· $750M
2021-09-30Post Ipo Equity
Leadership Team
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