Data Scientist - Insurance (f/m/d) at WTW
München, , Germany -
Full Time


Start Date

Immediate

Expiry Date

05 Nov, 25

Salary

0.0

Posted On

06 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Git, Python, Azure, General Insurance, Creativity, Analytical Techniques, Aws, Machine Learning

Industry

Information Technology/IT

Description

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.

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.
Responsibilities
  • 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
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