At a Glance
- Tasks: Develop predictive models and analytical tools to enhance pricing strategies.
- Company: Join Hastings Direct, a leader in data-led insurance.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with engineers and analysts in a supportive team.
- Why this job: Make a significant impact in a dynamic, data-driven environment.
- Qualifications: Experience in predictive modeling, Python, SQL, and strong communication skills.
The predicted salary is between 60000 - 80000 € per year.
Hastings Direct is seeking a Data Science Manager for a hybrid role based in Bexhill, Leicester, or London. The successful candidate will develop predictive models and analytical tools to enhance our pricing strategies.
Key responsibilities include:
- Engineering new rating factors
- Collaborating cross-functionally with engineers and analysts
Candidates should have experience in predictive modeling, proficiency in Python and SQL, and strong communication skills. Join us to make a significant impact in a data-led insurance environment.
Data Science Manager — Pricing & Risk Analytics Lead in London employer: Hastings Direct
Hastings Direct is an exceptional employer that fosters a collaborative and innovative work culture, particularly for our Data Science Manager role. With a focus on employee growth, we offer extensive training and development opportunities, allowing you to thrive in a dynamic environment while making a meaningful impact in the insurance sector. Our hybrid working model based in Bexhill, Leicester, or London provides flexibility, ensuring a healthy work-life balance as you contribute to cutting-edge pricing strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager — Pricing & Risk Analytics Lead in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Hastings Direct on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your predictive models and analytical tools. This is your chance to demonstrate how you can enhance pricing strategies with real examples.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by brushing up on your Python and SQL skills. We recommend doing mock interviews with friends or using online platforms to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Science Manager — Pricing & Risk Analytics Lead in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in predictive modelling and your proficiency in Python and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Science Manager position and how you can contribute to Hastings Direct’s pricing strategies. Let us know what makes you tick!
Showcase Your Communication Skills:Since collaboration is key in this role, make sure to highlight your strong communication skills in your application. We want to see examples of how you've worked cross-functionally with teams in the past.
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 Science Stuff
Make sure you brush up on your predictive modelling techniques and be ready to discuss your experience with Python and SQL. Prepare examples of how you've used these skills in past projects, especially in pricing strategies.
✨Showcase Your Collaboration Skills
Since the role involves working cross-functionally, think of instances where you've successfully collaborated with engineers or analysts. Be ready to share how you communicated complex data insights to non-technical team members.
✨Prepare for Scenario Questions
Expect questions that ask how you would approach developing new rating factors or solving specific pricing challenges. Practise articulating your thought process and decision-making steps clearly.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about Hastings Direct's data-led initiatives or their current pricing strategies. This shows your genuine interest in the role and the company.
