At a Glance
- Tasks: Lead predictive modelling and machine learning projects with a talented team.
- Company: A top digital insurance provider in the UK with a focus on innovation.
- Benefits: Flexible working, financial wellbeing support, and a hybrid work model.
- Why this job: Make a real impact in the insurance industry while leading exciting data projects.
- Qualifications: Strong SQL and Python skills, plus experience in delivering commercial value.
- Other info: Opportunity to manage senior stakeholders and grow your career in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading digital insurance provider in the UK is looking for a Senior Data Scientist to lead projects in predictive modelling and machine learning. This role involves overseeing a team of data scientists and is positioned based in Bexhill/Leicester/London with a hybrid work model.
The ideal candidate will have:
- Strong SQL and Python skills
- Experience in delivering commercial value
- The ability to manage senior stakeholders effectively
Attractive benefits include flexible working and financial wellbeing support.
Senior Data Scientist - Lead ML for Pricing & Analytics in Leicester employer: Hastings Direct
Contact Detail:
Hastings Direct Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Lead ML for Pricing & Analytics in Leicester
✨Tip Number 1
Network like a pro! Reach out to current or former employees in similar roles on LinkedIn. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Showcase your skills! Prepare a portfolio of your best projects, especially those involving predictive modelling and machine learning. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on SQL and Python. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior Data Scientist - Lead ML for Pricing & Analytics in Leicester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and Python skills in your application. We want to see how you've used these tools to deliver commercial value in your previous roles.
Tailor Your Application: Don’t just send a generic CV and cover letter. Tailor your application to reflect the specific requirements of the Senior Data Scientist role. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Demonstrate Leadership Experience: Since this role involves overseeing a team, be sure to showcase any leadership or mentoring experience you have. We want to know how you’ve managed teams and projects effectively.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Hastings Direct
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and techniques in predictive modelling and machine learning. Brush up on your SQL and Python skills, and be ready to discuss specific projects where you've delivered commercial value.
✨Showcase Your Leadership Skills
As this role involves overseeing a team, prepare examples of how you've successfully led projects or teams in the past. Highlight your ability to manage senior stakeholders and communicate complex data insights clearly.
✨Prepare for Technical Questions
Expect to face technical questions that test your knowledge of machine learning algorithms and data analysis. Practise explaining your thought process and decision-making in previous projects, as this will demonstrate your expertise.
✨Understand the Company’s Vision
Research the digital insurance provider and understand their goals and challenges. Tailor your responses to show how your skills and experience align with their mission, especially in terms of pricing and analytics.