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Associate Director – Data Scientist for North America
Associate Director – Data Scientist for North AmericaWTW • Chicago, Illinois, USA
Associate Director – Data Scientist for North America

Associate Director – Data Scientist for North America

WTW • Chicago, Illinois, USA
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Description

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 modelling advanced analytics and AI experience to join as a Property & Casualty (P&C) Associate Director in our Insurance Consulting and Technology (ICT) 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.

Note : This position can be based in a major North American market and is open to remote / virtual work. Employment-based non-immigrant visa sponsorship and / or assistance is not offered for this specific job opportunity.

The Organization

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. We work with insurers to help build enable and embed advanced analytics throughout organizations in order to transform performance for the business and for customers.

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 data science and predictive modelling being a clear enabler of transformation throughout their organizations. Our combination of market expertise and market-leading analytical software (in particular Radar) uniquely positions us to deliver meaningful impact for our clients.

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 inclusive of AI
  • Contribute to the development of WTWs 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

Qualifications

The Requirements

  • 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
  • Nice to Haves

  • 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
  • This position will remain posted for a minimum of three business days from the date posted or until 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 $180000.00-$230000.00 USDannually.

    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 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.
  • Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles County Fair Chance Ordinance for Employers we will consider for employment qualified applicants with arrest and conviction records.

    If the position allows for flexible working :

    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

    Required Experience :

    Director

    Key Skills

    Laboratory Experience,ELISA,Immunoassays,Transfection,Mammalian Cell Culture,Suspension Experience,Biochemistry,Assays,cGMP,Cell Culture,Molecular Biology,Flow Cytometry

    Employment Type : Full-Time

    Experience : years

    Vacancy : 1

    Monthly Salary Salary : 180000 - 230000

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