Data Scientist - Insurance (f/m/d)

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.

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.