In Insurance Consulting we advise and provide solutions to insurance companies and other insurance entities such as brokers and MGAs on the quantification and management of risk, and on wider operational capabilities, to provide competitive advantage in a rapidly-changing world. Our client base includes more than three-quarters of the world’s leading insurers across both life and property/casualty insurance.
*** Please note that we do not accept multiple applications and you should only select and apply to one programme per year***
A data science role in Insurance Consulting is stimulating, challenging, exciting and extremely rewarding, and provides you with an opportunity to showcase where your expertise can add real value to our business and to our clients’ businesses.
We require associates who are technically and mathematically minded, with the ability to solve complex and challenging commercial problems using innovative and proportionate approaches.
As consultants, it is necessary to build a strong technical skillset but also the ability to communicate complex concepts to audiences from a variety of backgrounds. We deal with actuaries, accountants, underwriters, technologists, data scientists, insurance entrepreneurs, senior executives and other Board members. Each audience has different needs and knowledge and we need to tailor our communications to suit.
We are looking for candidates that have a deep understanding of data science and can apply their knowledge and skillsets to work with clients to support them in their strategy and objectives. Specifically, we are looking for candidates who will challenge the status quo and be prepared to champion new and innovative ways of tackling problems and of driving efficiencies into existing processes.
What will I be doing day to day?
As a project-based advisory business, no two days are the same. Our data science graduates will experience this work variety immediately, and see this continue as their careers develop.
Graduates will tend to be involved in around 3 client projects at any one time, working on each with the support and guidance of an experienced consultant. These may span a number of data hungry areas including pricing, claims and operational processes. You will be involved in regular project meetings which will help you to understand the business context and project objectives, and where your contribution fits in, as well as providing a space for you to report your progress.
You may also be involved in communicating with client stakeholders, working directly alongside clients or joining meetings/calls discussing progress or sharing deliverables.
Our graduates experience training during the first few months of joining Willis Towers Watson, which supplements a steep curve of on-the-job learning.
The learning curve in the first few years is challenging as you grow your understanding of the insurance markets, our clients, products and propositions, whilst at the same time developing broader consulting skills and knowledge of data science techniques.
As you progress, you will get more deeply involved in supporting research and product development. We pride ourselves in remaining ahead of the game in our market – we need to know the next client issue or driver of change before it happens – and so we invest heavily in product and service development.
You may also be responsible for selling projects and managing content and delivery in order to ensure the best solutions for our clients’ problems, on budget, on time and to the highest quality.
- Minimum 2:1 degree in a numerate discipline OR
- 2:1 degree including A-Level Maths grade A/B or equivalent qualifications
The Application Process
- Stage 1: Online application, including CV
- Stage 2: Online testing
- Stage 3: Video interview
- Stage 4: Assessment centre
- Stage 5: Offer and on-boarding
Equal Opportunity Employer
Start date for the UK Graduate Programme for undergraduates will be the end of August / early September 2020.
For Masters’/PHD students, we can be flexible on the start date depending on course dates.
Opening Date: 3rd September 2019
Closing Date: 31st January 2020
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