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.