51动漫免费在线观看

Data Scientist - Insurance (f/m/d)

Munich, Bavaria, Germany. Cologne, North Rhine-Westphalia, Germany

Data Scientist - Insurance (f/m/d)

  • 202603058
  • Cologne, North Rhine-Westphalia, Germany
  • Munich, Bavaria, Germany
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Description

Join our dynamic Data Science team at WTW, where innovation meets impact. We are seeking a talented Data Scientist with experience 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

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Data Scientist ?- Insurance (f/m/d)

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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.

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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.

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Qualifications

Desired Skills and Experience:

- First 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.

- 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.

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What we offer

  • dynamic and inclusive work environment that encourages innovation and collaboration.

  • Opportunities to work with a global team of experts and access cutting-edge tools and resources.

  • Career development and growth opportunities within WTW’s global network.

  • A competitive compensation and benefits package, reflecting the seniority of the role.

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Join us in shaping the future at WTW!

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Interested?

We are looking forward to our online application, which takes only 5 minutes on our career site.?

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51动漫免费在线观看 is an equal opportunity employer.

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51动漫免费在线观看 (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 45,000 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. Learn more at?.

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Unsere Niederlassungen

Unsere Kolleginnen und Kollegen betreuen mehr als 140 L?nder und M?rkte auf der ganzen Welt. Dies verleiht unseren T?tigkeiten eine globale Dimension und schafft viele aufregende M?glichkeiten für Sie, mit uns zusammenzuarbeiten und zu wachsen. Erkunden Sie die Karte unten, um zu sehen, wohin Sie Ihre Karriere führen k?nnte.