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- Tasks: Lead the charge in transforming telematics data into actionable insights and mentor junior talent.
- Company: A top-tier insurance company in Greater London with a focus on innovation.
- Benefits: Enjoy 35 days of holiday, hybrid work, and ample growth opportunities.
- Why this job: Be at the forefront of machine learning and make a real impact in the insurance industry.
- Qualifications: Proven experience in machine learning and strong Python coding skills required.
- Other info: Join a dynamic team that values creativity and technical leadership.
The predicted salary is between 43200 - 72000 £ per year.
A leading insurance company in Greater London is seeking an experienced Lead Data Scientist to take ownership of delivering value from telematics data. This role involves technical leadership, design of analytical solutions, and mentoring junior staff.
The successful candidate will utilize extensive experience in machine learning and significant Python coding ability to innovate and challenge the status quo within the industry.
The position offers a hybrid working model, 35 days of holiday, and significant opportunities for growth.
Lead Data Scientist – Telematics & ML Systems in London employer: Acorn Group
Contact Detail:
Acorn Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist – Telematics & ML Systems in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the insurance and data science fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Brush up on your machine learning concepts and Python skills. Be ready to discuss how you've used telematics data in past projects and how you can bring value to the team.
✨Tip Number 3
Showcase your leadership skills! Think about examples where you've mentored others or led a project. This is key for a Lead Data Scientist role, so make sure to highlight these experiences during your conversations.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it gives us a chance to see your application in the best light possible.
We think you need these skills to ace Lead Data Scientist – Telematics & ML Systems in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with machine learning and Python coding in your application. We want to see how you've used these skills to deliver value in previous roles, especially in telematics or similar fields.
Tailor Your Application: Don’t just send a generic CV and cover letter. We love it when candidates tailor their applications to the job description. Mention specific projects or achievements that align with the responsibilities of the Lead Data Scientist role.
Be Yourself: We’re looking for someone who can challenge the status quo, so let your personality shine through! Share your passion for data science and innovation in your written application. It helps us get to know you better.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and ensure you’re considered for this exciting opportunity!
How to prepare for a job interview at Acorn Group
✨Know Your Data Inside Out
Make sure you’re well-versed in telematics data and its applications. Brush up on your machine learning concepts and be ready to discuss how you've used Python to solve real-world problems. This will show that you can hit the ground running.
✨Showcase Your Leadership Skills
As a Lead Data Scientist, you'll need to demonstrate your ability to lead and mentor. Prepare examples of how you've guided junior staff or led projects in the past. This will highlight your technical leadership capabilities and your commitment to team growth.
✨Prepare for Technical Challenges
Expect some technical questions or case studies during the interview. Practice coding challenges in Python and be ready to explain your thought process. This will help you showcase your problem-solving skills and your ability to innovate.
✨Understand the Company’s Vision
Research the insurance company and understand their goals, especially regarding telematics and machine learning. Be prepared to discuss how your experience aligns with their vision and how you can contribute to their success. This shows genuine interest and initiative.
