Data Scientist

Data Scientist London, England

WTW
Full Time London, England 35600 - 51476 GBP ANNUAL Today
Job description

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 Client
  • 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
  • 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
  • Manage Teams Of One Or More Junior Associates To Effectively Deliver Client Projects On Time And On Budget
Qualifications

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

Compensation And Benefits

Base Salary Range And Benefits Information For This Position Are Being Included In Accordance With Requirements Of Various State/Local Pay Transparency Legislation. Please Note That Salaries May Vary For Different Individuals In The Same Role Based On Several Factors, Including But Not Limited To Location Of The Role, Individual Competencies, Education/Professional Certifications, Qualifications/Experience, Performance In The Role And Potential For Revenue Generation (Producer Roles Only).

Compensation

This Role Is Also Eligible For An Annual Short-Term Incentive Bonus].

Company Benefits

WTW Provides A Competitive Benefit Package Which Includes The Following (Eligibility Requirements Apply):

Health And Welfare Benefits: Medical (Including Prescription Coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care And Dependent Care Flexible Spending Accounts, Group Accident, Group Critical Illness, Life Insurance, AD&D, Group Legal, Identify Theft Protection, Wellbeing Program And Work/Life Resources (Including Employee Assistance Program)

Leave Benefits: Paid Holidays, Annual Paid Time Off (Includes Paid State/Local Paid Leave Where Required), Short-Term Disability, Long-Term Disability, Other Leaves (E.G., Bereavement, FMLA, ADA, Jury Duty, Military Leave, And Parental And Adoption Leave)

Retirement Benefits: Contributory Pension Plan And Savings Plan (401k). Certain Senior Level Roles May Also Be Eligible For Non-Qualified Deferred Compensation And Deferred Savings Plans.

At WTW, We Trust You To Know Your Work And The People, Tools And Environment You Need To Be Successful. The Majority 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. Please Speak To Your Recruiter To Discuss More.

Data Scientist
WTW

www.wtwco.com
London, United Kingdom
Carl Hess
$10+ billion (USD)
10000+ Employees
Company - Public
Business Consulting
1828
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