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- Tasks: Join us as a Risk Data Scientist, focusing on robust model risk management and forecasting.
- Company: Be part of the UK's largest car leasing company, delivering smart mobility solutions.
- Benefits: Enjoy a competitive salary, annual bonus, and 15% pension contribution with private medical insurance.
- Why this job: This role offers autonomy, development opportunities, and a chance to impact the automotive industry.
- Qualifications: Strong background in Statistics or Data Science, with experience in Risk Modelling and statistical software.
- Other info: Hybrid work model: 3 days onsite in London.
The predicted salary is between 48000 - 72000 £ per year.
Job Description
Data Scientist – Risk | Automotive🚘 | London (Hybrid) | £60,000-£90,000
Peaple Talent have partnered with a leading Automotive business who deliver smart & sustainable solutions that improve customers’ mobility. They're the UK’s largest car leasing company and help over 750,000 people get on the road.
My client are unique in that they provide comprehensive insurance as part of the overall lease costs. With 815k+ Scheme Customers this is the largest motor fleet policy in the UK.
We are now seeking a selection of Senior Data Science Risk Modellers, who will be responsible for delivering a strong model risk management framework, and ensuring all forecast models are robustly implemented.
What we're looking for:
- A strong background in Statistics, Mathematics, Economics, Data Science, or a related field
- A number of years of experience working within Risk Modelling, Risk Management, Risk Validation
- Proven experience with statistical software, ideally in Python or R
- Experience with advanced analytical techniques, including machine learning and predictive modelling
- Industry knowledge of forecasting in Automotive/Finance/Manufacturing is high desired
What's in it for you:
💰Salary: £60,000-£90,000
📍Location: London (x3 days a week onsite)
⭐Annual bonus
🪙Pension: 15% contribution
📈Autonomous position with huge development opportunities
🚑Private Medical & Dental Insurance
Risk Data Scientist employer: Peaple Talent
Contact Detail:
Peaple Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Risk Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in risk modelling and data science, particularly within the automotive sector. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the automotive and finance industries. Attend relevant meetups or webinars to connect with potential colleagues and learn about their experiences, which can provide valuable insights for your application.
✨Tip Number 3
Showcase your technical skills by working on personal projects or contributing to open-source initiatives that involve risk modelling or predictive analytics. This practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising common data science problems and case studies related to risk management. Being well-prepared will boost your confidence and help you articulate your thought process effectively.
We think you need these skills to ace Risk Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Risk Modelling and Data Science. Use specific examples that demonstrate your skills in statistics, machine learning, and predictive modelling, particularly in the automotive or finance sectors.
Craft a Compelling Cover Letter: Write a cover letter that connects your background in Statistics or Data Science to the role of Risk Data Scientist. Mention your familiarity with Python or R and how your previous work aligns with the company's goals in risk management.
Showcase Relevant Projects: If you have worked on projects related to risk management or predictive modelling, include them in your application. Briefly describe the project, your role, and the outcomes to illustrate your hands-on experience.
Highlight Industry Knowledge: Demonstrate your understanding of the automotive industry and its challenges in risk management. Mention any relevant trends or insights that could be beneficial for the company, showing that you are well-informed and passionate about the field.
How to prepare for a job interview at Peaple Talent
✨Showcase Your Statistical Skills
Make sure to highlight your background in Statistics, Mathematics, or Economics during the interview. Be prepared to discuss specific projects where you applied statistical methods, as this will demonstrate your expertise and relevance to the role.
✨Demonstrate Your Experience with Risk Modelling
Since the position focuses on Risk Modelling, come ready to share examples of your previous work in this area. Discuss the models you've developed, the challenges you faced, and how you validated their effectiveness.
✨Familiarise Yourself with Relevant Software
The company is looking for candidates with experience in Python or R. Brush up on your skills in these programming languages and be ready to discuss how you've used them in your past roles, especially in relation to machine learning and predictive modelling.
✨Understand the Automotive Industry
Having industry knowledge in Automotive, Finance, or Manufacturing is highly desired. Research current trends and challenges in the automotive sector, particularly around risk management, to show your enthusiasm and understanding of the field during the interview.
