P&C Associate Director - Data Science/Predictive Modeling/Advanced Analytics

Do you want to be at the forefront of insurance industry innovation and leadership? Do you want to partner with insurers across North America to help deliver cutting-edge capabilities across their organizations? Do you want to work with the original Insurtech, driving performance improvement through our technology? If so, this might be the opportunity for you!

WTW is looking for an experienced P&C data scientist in the North American market with predictive modeling and advanced analytics experience to join as a Property & Casualty (P&C) Associate Director in our Insurance Consulting and Technology (ICT) practice. In this role, you will collaborate with our team of pricing, portfolio management, underwriting, finance and claims experts to design and implement cutting-edge solutions to challenges faced by the top insurers. 

ICT provides a powerful combination of advisory services for insurance companies, integrated with leading-edge technology solutions and software, all underpinned by unparalleled analytical capability. WTW has ambitious growth plans for our North America P&C propositions. Our goal is to substantially increase our footprint as we advise our insurance clients, with analytics and data science being a clear enabler of transformation throughout their organizations. 

This position can be based in a major North American market and is open to remote/virtual work.

Note that visa employment-based non-immigrant visa sponsorship and/or assistance is not offered for this specific job opportunity.

The 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
• Meet billable hour target and revenue goals, operating as a highly respected and effective consultant
• 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
• Contribute to the development of WTW’s intellectual capital and future proposition development, including go-to-market strategy

The Requirements

• At least 5 years P&C insurance experience 
• At least 3 years predictive modeling experience
• 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

Nice to Haves

• Experience with Radar software
• Experience leading or participating on actuarial or underwriting transformation projects
• Knowledge of North American insurance marketplace and carriers
• Professional designation such as CSPA or ACAS

This position will remain posted for a minimum of three business days from the date posted or until a sufficient/appropriate candidate slate has been identified.

Compensation and Benefits
Base salary range and benefits information for this position are being included in accordance with requirements of various state/local pay transparency legislation. Please note that salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, qualifications/experience, performance in the role and potential for revenue generation (Producer roles only).

Compensation
The base salary compensation range being offered for this role is $150,000 - $230,000 USD per year. This role is also eligible for an annual short-term incentive bonus.

Company Benefits
WTW provides a competitive benefit package which includes the following (eligibility requirements apply):

• 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 paid 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 
• Retirement Benefits: Contributory Pension Plan and Savings Plan (401k). All Level 38 and more senior roles may also be eligible for non-qualified Deferred Compensation and Deferred Savings Plans. 

At WTW, we trust you to know your work and the people, tools and environment you need to be successful. The majority of our colleagues work in a ”hybrid” style, with a mix of remote, in-person and in-office interactions dependent on the needs of the team, role and clients. Our flexibility is rooted in trust and “hybrid” is not a one-size-fits-all solution.

We understand flexibility is key to supporting an inclusive and diverse workforce and so we encourage requests for all types of flexible working as well as location-based arrangements. Please speak to your recruiter to discuss more.

EOE, including disability/vets