DescriptionJoin 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 asData 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.QualificationsDesired 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. #J-18808-Ljbffr