Apply on Employer Site

WTW · 1 month ago

Associate Director – Data Scientist for North America

United States

Full-time

Remote

Lead/Staff

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 solutions to challenges faced by top insurers.

ConsultingInformation TechnologyInsuranceMedicalService Industry

No H1B

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

Predictive ModellingAdvanced AnalyticsAI ExperienceData Science ProcessesData StrategiesProject ManagementMentoring

Required

Experience in predictive modelling, advanced analytics, and AI

Extensive knowledge of data science market practice in an insurance context

Ability to develop and implement data strategies for clients

Experience in designing, building, testing, and running data science processes

Experience in designing data science technology infrastructures for analytical and operational functions

Ability to build effective predictive models, analytical tools, and processes using a wide range of analytical and data science techniques inclusive of AI

Experience in preparing proposals and presentations leveraging marketing resources, practice groups, subject matter experts, and client relationship managers

Ability to serve as a mentor and project manager to junior colleagues

Ability to meet billable hour target and revenue goals