Senior Data Scientist

We are looking for a Data Scientist, with experience in the UK general insurance markets in either commercial or personal lines, to join Willis Towers Watson in our Data Science team which is part of our consulting practice to help us develop our Data Science advisory capability. You will work beside some of the market’s top thought people designing and implementing cutting-edge solutions to challenges faced by the world’s top general insurers and intermediaries.

The Role

• Deliver best in class Data Science capability reviews
• Build effective predictive models, analytic tools and processes using a wide range of analytical and data science techniques
• Leverage your market knowledge to develop cutting edge solutions in collaboration with various teams from across WTW
• Build a market profile as a representative and advocate of WTW Data Science consulting services and technology solutions
• Manage substantial work streams in large projects, with responsibility for communication with clients and the day-to-day running of projects
• Work collaboratively on a range of projects / internal responsibilities and manage priorities appropriately
• Develop a trusted advisor relationship with client contacts through effective communication and efficient, quality execution of client work
• Seek to be involved in a variety of work to ensure a broad skill set (technical, management and client) is maintained and developed
• Interface with colleagues from other practices and regions on assignments that reflect the client’s broader business issues
• Demonstrate commitment to Willis Towers Watson professional standards in managing analyses and in communications with clients
• To develop new relevant propositions or to enhance current pricing propositions leveraging Willis Towers Watson’s toolset and broader pricing intellectual property and resources
• Manage or contribute to the development of the company’s intellectual capital including plans for taking this to market
• Financial and business development
• Meet goals for billable hours and intellectual capital development
• Have a desire to work towards meeting revenue generation goals in the future
• Develop and present proposals to potential clients, demonstrating the economic value of the company’s offerings
• Use contacts within current network to obtain introductions to new contacts; work to develop supporters for company’s products and services
• Build relationships internally and collaborate effectively on cross-functional teams
• Demonstrate natural ease and effectiveness when dealing with clients/colleagues at all levels
• Manage teams of one or more junior associates to effectively deliver client projects on time and on budget
• Serve as line manager or mentor to more junior associates

The Requirements

• Data Science experience in a UK general insurance firm (personal or commercial lines) – either with experience across multiple lines of business or a deep expertise in a particular line
• An advocate for the development of analytical approaches and the adoption of new techniques, including data science, machine learning and AI
• Solid experience with data manipulation
• Experience with Python, Git (or other versioning tools) and MLOps is preferred
• An understanding of machine learning and statistical theory
• Experience with Azure and AWS is desirable
• Experience of Radar software is desirable
• A track record in innovation and creativity delivering realised revenue enhancements
• Strong interpersonal and team skills
• Self-starter attitude and ability to work within ambiguity
• Enjoy training/mentoring junior staff
• Excellent project management skills
• The ability to see the "big picture”, leveraging the resources of related practices to address clients’ business challenges

Equal Opportunity Employer

At WTW, we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome, valued and empowered to bring their whole selves to work every day. We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity.