Data Science Data Science Senior Data Scientist

2 weeks ago

London, United Kingdom Willis Towers Watson Full time

We are looking for an experienced Data Scientist to join WTW in our Insurance Consulting & Technology practice (ICT). We have a growing data science team and are developing our client facing data science advisory capability. You will work beside some of the insurance market’s top people, designing and implementing cutting-edge solutions to challenges faced by the world’s top general insurers and intermediaries in both commercial and personal lines business.
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.
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.
Demonstrate commitment to Willis Towers Watson professional standards in managing analyses and in communications with client.
Financial and business development.
Use contacts within current network to obtain introductions to new contacts; Manage teams of one or more junior associates to effectively deliver client projects on time and on budget.
Comprehensive experience in data science for a large corporate, consultancy or technology firm, with experience in a UK general insurance firm (personal or commercial lines) of great benefit.
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.
Enjoy training/mentoring junior staff.
Excellent project management skills.
Most of our colleagues work in a “hybrid” style, with a mix of remote, in-person and in-office interactions dependent on the needs of the team, role, and clients. Our flexibility is rooted in trust and “hybrid” is not a one-size-fits-all solution
We understand flexibility is key to supporting an inclusive and diverse workforce and so we encourage requests for all types of flexible working as well as location-based arrangements.

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