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- Tasks: Lead the development of innovative analytical solutions from telematics data.
- Company: Acorn Insurance, a rapidly growing leader in the insurance industry.
- Benefits: 35 days holiday, competitive salary, hybrid working, and opportunities for professional growth.
- Why this job: Make a real impact by driving value from rich telematics data in a dynamic environment.
- Qualifications: Experience with data streams, machine learning, and excellent Python coding skills.
- Other info: Join a collaborative team focused on innovation and challenging the status quo.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for an experienced and talented Data Scientist to lead on delivering solutions for our telematics products. The successful candidate will take ownership of delivering value from telematics data both within and across products.
As the Lead Data Scientist you will lead on data structure, and all forms of value extraction from large quantities of telematics data. The Data Science team at Acorn was created in February 2023, initially focusing on delivering price optimization for pricing, which has seen great success for the company, delivering 20%+ uplifts in profitability across our largest products. Today we operate a champion‑challenger framework, rapidly delivering further improvements by being well organised, keeping effective code bases across the team that enables us to work repeatably and at scale.
Our team covers data engineering, model building and serving, with specialist skillsets for each, which means minimal reliance on other teams when it comes to either processing data for use in model training or getting models to production. We work in python on databricks, with a focus on building repeatable, product agnostic model training and serving solutions.
We are looking for a technical lead to deliver value from this rich data. This will need a holistic approach to value creation, starting with data then delivering for pricing and operations for telematics products, as well as the wider business.
What you will be doing:
- Design, creation and execution of analytical solutions from telematics data
- Drive the technical analysis and development of scoring algorithms as well as driving value for the wider business
- Technical leadership and mentoring
We are looking for an independent thinker and technical leader who can challenge the status quo of the insurance industry and drive the continued growth of the business. You will have significant autonomy in the approaches used and solutions delivered.
What we are looking for:
- Experience of working with data streams or large time-series
- End to end experience of the machine learning pipeline, from data engineering to production, with expertise in a range of modelling approaches
- Excellent python coding ability
- A creative approach to problem solving
- Technical leadership and mentoring of more junior staff
- Natural desire to act at pace and be innovative, while setting high standards
- Expert in a variety of machine learning solutions
- Solid statistical understanding
This is a great opportunity to build something of high value from the ground up.
Benefits:
- 35 days’ holiday (including bank holidays)
Lead Data Scientist 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 in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data science and telematics. This will give you an edge and demonstrate your hands-on experience when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key in technical roles. We want to see how you tackle problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Acorn.
We think you need these skills to ace Lead Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Scientist role. Highlight your experience with data streams, machine learning pipelines, and any leadership roles you've had. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can challenge the status quo in the insurance industry. Let us know how you can drive value from telematics data.
Showcase Your Technical Skills: Don’t forget to showcase your technical skills, especially in Python and any relevant machine learning techniques. We’re keen to see examples of your work or projects that demonstrate your coding ability and problem-solving skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Acorn Group
✨Know Your Data Inside Out
As a Lead Data Scientist, you'll be expected to have a deep understanding of telematics data. Before the interview, brush up on your knowledge of data streams and time-series analysis. Be ready to discuss specific examples of how you've extracted value from large datasets in previous roles.
✨Showcase Your Technical Skills
Make sure to highlight your expertise in Python and any experience with Databricks. Prepare to discuss your end-to-end experience in the machine learning pipeline. You might even want to bring along a portfolio of your work or projects that demonstrate your coding ability and problem-solving skills.
✨Demonstrate Leadership Qualities
Since this role involves mentoring junior staff, think of examples where you've taken on a leadership role. Be prepared to share how you've challenged the status quo in your previous positions and how you can inspire others to innovate within the team.
✨Prepare for Scenario-Based Questions
Expect questions that assess your creative approach to problem-solving. Think about challenges you've faced in data science and how you overcame them. Practising responses to scenario-based questions will help you articulate your thought process and decision-making skills effectively.
