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- Tasks: Lead the optimisation and automation of pricing processes using machine learning.
- Company: A top insurance tech company based in London with a focus on innovation.
- Benefits: Market-competitive salary, private medical insurance, and flexible hybrid work options.
- Why this job: Join a dynamic team and make a significant impact in pricing analytics.
- Qualifications: Experience in managing ML model lifecycles and developing analytics tools.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading insurance technology company in London is seeking a Lead Machine Learning Engineer to optimize and automate pricing processes. The ideal candidate will have experience in managing ML model lifecycles and developing pricing analytics tools. This role involves collaboration with cross-functional teams and offers a market-competitive salary, private medical insurance, and flexible hybrid work options.
Lead ML Engineer — Pricing Analytics & Automation in London employer: Zego
Contact Detail:
Zego Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML Engineer — Pricing Analytics & Automation in London
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance tech space, especially those working with ML. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to pricing analytics. This will help us see your hands-on experience and creativity in action.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. We love candidates who can communicate complex ideas clearly and work well with cross-functional teams.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate individuals ready to make an impact in pricing automation.
We think you need these skills to ace Lead ML Engineer — Pricing Analytics & Automation in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ML model lifecycles and pricing analytics tools. 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 passionate about optimising pricing processes and how your background makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Collaboration Skills: Since this role involves working with cross-functional teams, make sure to mention any past experiences where you’ve successfully collaborated with others. We love seeing teamwork in action!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Zego
✨Know Your ML Models Inside Out
Make sure you can discuss the ML models you've worked with in detail. Be ready to explain their lifecycles, how you optimised them, and any challenges you faced. This shows your depth of knowledge and experience.
✨Showcase Your Pricing Analytics Skills
Prepare examples of pricing analytics tools you've developed or improved. Highlight how these tools impacted decision-making or efficiency. This will demonstrate your ability to contribute to the company's goals.
✨Collaboration is Key
Since this role involves working with cross-functional teams, be prepared to discuss your experience collaborating with different departments. Share specific examples of how you’ve successfully worked with others to achieve a common goal.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the company and the role. Inquire about their current pricing strategies or how they envision the future of ML in their processes. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
