Description

Join our dynamic Data Science team at WTW, where innovation meets impact. We are seeking a talented Data Scientist with expertise in European general insurance markets—be it commercial or personal lines. Collaborate with industry-leading professionals to design and implement transformative solutions for top-tier insurers and intermediaries as

Data Scientist - Insurance (f/m/d)

The Role:

- Develop predictive models and analytical tools using advanced data science techniques.

- Conduct comprehensive reviews of Data Science capabilities to ensure best-in-class standards.

- Collaborate across WTW teams to create innovative solutions leveraging market insights.

- Represent WTW as a thought leader in Data Science consulting and technology.

- Lead substantial workstreams, manage client communications, and ensure project success.

- Foster trusted advisor relationships through effective communication and quality execution.

- Engage in diverse projects to broaden technical, management, and client-facing skills.

- Uphold WTW’s professional standards in analysis and client interactions.

- Contribute to the development and market deployment of new pricing propositions.

- Support intellectual capital development and strategic market initiatives.

Financial and Business Development:

- Achieve targets for billable hours and intellectual capital contributions.

- Support revenue generation through client proposals and value demonstration.

- Expand professional network and cultivate relationships to promote WTW offerings.

- Collaborate effectively across cross-functional teams and build internal partnerships.

Leadership and Mentoring:

- Lead and mentor junior associates to deliver high-quality client projects.

- Serve as a line manager and provide guidance to team members.

- Demonstrate confidence and professionalism in interactions with clients and colleagues.

Qualifications

Desired Skills and Experience:

- Proven Data Science experience in general insurance (personal or commercial lines).

- Passion for advancing analytical techniques including machine learning and AI.

- Strong data manipulation skills and proficiency in Python, Git, and MLOps.

- Solid understanding of machine learning and statistical theory.

- Experience with cloud platforms such as Azure and AWS is a plus.

- Familiarity with Radar software is advantageous.

- Demonstrated innovation and creativity in driving revenue enhancements.

- Excellent interpersonal, project management, and mentoring skills.

- Strategic mindset with the ability to see the big picture and integrate cross-practice resources.

Unsolicited Contact

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. If you would like to have your contact information saved for future consideration, please email: Agency.inquiries@willistowerswatson.com.

Our Offices

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Data Scientist - Insurance (f/m/d)