Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead innovative data science projects and develop predictive models for pricing strategies.
- Company: Join a top digital insurance provider aiming to dominate the UK market.
- Benefits: Enjoy competitive salary, hybrid work options, and 27 days of annual leave.
- Why this job: Be part of a collaborative culture that values growth and community impact.
- Qualifications: Experience in predictive modeling and proficiency in Python required.
- Other info: Candidates must pass credit and criminal record checks; no sponsorship available.
The predicted salary is between 43200 - 72000 £ per year.
Job Opportunity: Data Science Manager
Location: Newcastle Upon Tyne
Client: A leading digital insurance provider with ambitious plans to become a market leader in the UK.
About the Role
Our client is seeking a Data Science Manager to lead cutting-edge projects and develop predictive models that enhance pricing strategies. The role involves working with a combined team of Actuaries and Data Scientists, utilizing machine learning (ML) to extract valuable insights from extensive customer data.
Key Responsibilities:
- Develop and maintain best-in-class predictive models for claims outcomes, fraud, and other KPIs.
- Engineer new rating factors for integration into pricing algorithms.
- Identify and monetize new data sources.
- Manage and mentor junior team members.
- Lead the delivery of analytical tools and strategic projects.
Requirements:
- Proven experience in predictive modeling, including Gradient Boosting Machines (GBMs), within a General Insurance pricing environment.
- Proficiency in Python and core Data Science libraries.
- Strong interest in emerging ML techniques.
- Experience in end-to-end delivery of large model reviews.
What’s on Offer:
- Salary: Competitive
- Flexible Working: Hybrid options available.
- Bonus: Annual performance bonus tied to business and personal performance.
- Benefits: 27 days of annual leave (plus bank holidays), healthcare cash plans, dental cover, tech schemes, and more.
Culture and Values:
The company fosters a collaborative environment based on its 4Cs principles: supporting colleagues, delighting customers, growing the company, and giving back to the community.
Additional Information:
This role is not eligible for sponsorship. Candidates will be subject to credit and criminal record checks.
Data Science Manager employer: NRG.
Contact Detail:
NRG. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager
✨Tip Number 1
Familiarize yourself with the latest trends in predictive modeling and machine learning techniques. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Network with professionals in the insurance and data science sectors. Attend industry meetups or webinars to connect with potential colleagues or mentors who can provide insights into the company culture and expectations.
✨Tip Number 3
Prepare to showcase your experience with Gradient Boosting Machines and other predictive modeling techniques. Be ready to discuss specific projects where you successfully implemented these models and the impact they had on business outcomes.
✨Tip Number 4
Highlight your leadership and mentoring skills, as managing junior team members is a key responsibility. Think of examples where you've successfully guided others or led a project, and be prepared to share those stories.
We think you need these skills to ace Data Science Manager
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Tailor your application to highlight your experience with predictive modeling and machine learning techniques relevant to the role.
Highlight Relevant Experience: In your CV and cover letter, emphasize your proven experience in predictive modeling, particularly with Gradient Boosting Machines (GBMs) in a General Insurance pricing environment. Provide specific examples of projects you've led or contributed to.
Showcase Technical Skills: Clearly outline your proficiency in Python and core Data Science libraries. Mention any relevant tools or technologies you have used in past projects that align with the company's needs.
Express Your Interest in Emerging Techniques: Demonstrate your strong interest in emerging machine learning techniques. You can mention any recent courses, certifications, or personal projects that showcase your commitment to staying updated in the field.
How to prepare for a job interview at NRG.
✨Showcase Your Predictive Modeling Skills
Be prepared to discuss your experience with predictive modeling, especially using Gradient Boosting Machines (GBMs). Highlight specific projects where you've successfully implemented these techniques in a General Insurance pricing context.
✨Demonstrate Your Technical Proficiency
Make sure to showcase your proficiency in Python and core Data Science libraries. You might be asked to solve a technical problem or explain your approach to data analysis, so brush up on your coding skills and be ready to demonstrate them.
✨Discuss Emerging Machine Learning Techniques
Express your strong interest in emerging ML techniques. Be prepared to discuss any recent advancements in the field that excite you and how they could potentially be applied to enhance pricing strategies in the insurance sector.
✨Emphasize Leadership and Mentoring Experience
Since the role involves managing and mentoring junior team members, share examples of your leadership experience. Discuss how you've supported colleagues in their development and contributed to a collaborative team environment.
