Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead innovative data science projects and build predictive models to solve real-world problems.
- Company: Join WTW, a leader in data science consulting, known for its inclusive culture and cutting-edge solutions.
- Benefits: Enjoy flexible working options, professional development opportunities, and a supportive team environment.
- Why this job: Make an impact with your analytical skills while collaborating with diverse teams on exciting projects.
- Qualifications: Experience in data science within UK insurance, proficiency in Python, and a passion for innovation required.
- Other info: Embrace diversity and inclusivity in a workplace that values your unique contributions.
The predicted salary is between 43200 - 72000 ÂŁ per year.
London, England, United Kingdom. Reigate, England, United Kingdom, RH2
Senior Data Scientist
- 202407309
- London, England, United Kingdom
- Reigate, England, United Kingdom
- Full time
Description
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
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
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.
Apply Now
First Name (required)
Last Name (required)
Email (required)
WTW will use your skills and experience information to match against WTW jobs and will contact you to discuss your experience, interests and potential matches to WTW vacancies. Do you consent for WTW to process your information for this purpose?
I confirm that I have read the Data Protection Policy and understand how my personal data will be used and stored. I grant permission to WTW to use the personal data that I submit for the purposes described.
#J-18808-Ljbffr
Senior Data Scientist employer: Willis Towers Watson
Contact Detail:
Willis Towers Watson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network with professionals in the data science field, especially those who work in UK general insurance. Attend industry events or webinars to connect with potential colleagues and clients, which can help you gain insights into the company culture and expectations.
✨Tip Number 2
Familiarise yourself with the latest trends in data science, machine learning, and AI, particularly as they relate to the insurance sector. This knowledge will not only enhance your discussions during interviews but also demonstrate your commitment to staying current in the field.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented predictive models or analytical tools. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will showcase your problem-solving skills.
✨Tip Number 4
Highlight your experience in mentoring or training junior staff during conversations. This is a key aspect of the role, and demonstrating your ability to lead and develop others will make you a more attractive candidate.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly within the UK general insurance sector. Emphasise your skills in Python, machine learning, and any experience with Azure or AWS.
Craft a Compelling Cover Letter: In your cover letter, demonstrate your understanding of the role and how your background aligns with WTW's needs. Mention specific projects where you've successfully built predictive models or managed teams.
Showcase Your Projects: Include examples of your previous work that showcase your analytical approaches and innovative solutions. Highlight any successful revenue enhancements you've achieved through your data science initiatives.
Prepare for Interviews: Be ready to discuss your technical skills and project management experience in detail. Prepare to explain how you would approach building effective predictive models and managing client relationships.
How to prepare for a job interview at Willis Towers Watson
✨Showcase Your Data Science Expertise
Be prepared to discuss your experience in data science, particularly within the UK general insurance sector. Highlight specific projects where you've built predictive models or analytic tools, and be ready to explain the techniques you used.
✨Demonstrate Your Technical Skills
Familiarise yourself with the tools mentioned in the job description, such as Python, Git, and MLOps. If you have experience with Azure or AWS, be sure to mention it, as this could set you apart from other candidates.
✨Emphasise Collaboration and Communication
Since the role involves working with various teams and clients, prepare examples that showcase your ability to communicate effectively and collaborate on projects. Think of instances where you managed client relationships or worked cross-functionally.
✨Prepare for Project Management Questions
Expect questions about your project management skills. Be ready to discuss how you've managed work streams, met deadlines, and ensured projects were delivered on time and within budget. Highlight any experience mentoring junior staff as well.
