Data Scientist in Philadelphia, PA at Willis Towers Watson

Date Posted: 9/11/2017

Job Snapshot

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Job Description

The Company

Willis Towers Watson is a leading global advisory, broking and solutions company that helps clients around the world turn risk into a path for growth. With roots dating to 1828, Willis Towers Watson has 40,000 employees serving more than 140 countries. We design and deliver solutions that manage risk, optimize benefits, cultivate talent, and expand the power of capital to protect and strengthen institutions and individuals. Our unique perspective allows us to see the critical intersections between talent, assets and ideas – the dynamic formula that drives business performance. Together, we unlock potential. Learn more at

The Business

WTW’s Risk Consulting & Software (RCS) division advises and provides solutions to insurance companies globally.  Our services help clients across the entire insurance value chain, including pricing, underwriting, claims management and asset management.

We respond to all our clients’ needs by offering market leading technical expertise, deep analytical skills, software solutions and risk, capital and management consulting. Building upon our existing advanced analytics and data provisions services, RCS is currently broadening its big data predictive analytics capabilities and is seeking to expand its pool of data scientists to help support its global activities and continue to thrive in the insurance analytics sector.  We currently seek a Data Scientist for our U.S. business.

The Role

The primary responsibilities of the Data Scientist will be to:

• Contribute to advanced analytics market opportunities and prospects in the U.S. region through supporting the US Data Analytics Manager

• Develop innovative data products through the creation of proprietary data assets or through working with third party data suppliers or open-source data sets, to create commercial data propositions for sale to the insurance sector

• Help to develop the analytics skills of our wider associate community through running internal presentations and documentation

• Support our efforts to further develop our analytics brand in the U.S. marketplace

Job Requirements

The Requirements

• Business consulting experience ideally in the insurance and/or financial services sector

• Ability to engage with a wide range of stakeholders including technical stakeholders (data scientists, IT specialists), business managers and executives

• Experience extracting value from structured and unstructured data in a business context (ideally in insurance)

• Proficiency with the tools and techniques used in the field of data science

• Fluency in statistical analysis and machine learning in at least one programming language (eg R, Python, Scala)

• Excellent written and verbal communication skills

• Proven problem solving skills

• The ability to work autonomously

• A willingness to work on client site, where necessary, during consulting assignments

Any unsolicited resumes/candidate profiles submitted through our web site or to personal e-mail accounts of employees of Willis Towers Watson are considered property of Willis Towers Watson and are not subject to payment of agency fees. In order to be an authorized Recruitment Agency/Search Firm for Willis Towers Watson, any such agency must have an existing formal written agreement signed by an authorized Willis Towers Watson recruiter and an active working relationship with the organization. Resumes must be submitted according to our candidate submission process, which includes being actively engaged on the particular search. Likewise, for our authorized Recruitment Agencies/Search Firms, if the candidate submission process is not followed, no agency fees will be paid by Willis Towers Watson.

Willis Towers Watson is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability.

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