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- Tasks: Join us as a Data Scientist to enhance risk modelling in the automotive sector.
- Company: Be part of the UK's largest car leasing company, driving sustainable mobility solutions.
- Benefits: Enjoy a competitive salary, annual bonus, and 15% pension contribution with private medical insurance.
- Why this job: This role offers autonomy, growth opportunities, and the chance to impact the automotive industry.
- Qualifications: Strong background in Statistics or Data Science with experience in Risk Modelling is essential.
- Other info: Hybrid work model: 3 days onsite in London for a balanced work-life experience.
The predicted salary is between 48000 - 72000 £ per year.
Data Scientist – Risk Modelling | 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 Insurance41bf1e1f-b16b-4260-a40a-17c77a06fd15
Data Scientist - Risk Modelling employer: Peaple Talent
Contact Detail:
Peaple Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Risk Modelling
✨Tip Number 1
Familiarise yourself with the latest trends in risk modelling, especially within the automotive sector. Understanding the specific challenges and innovations in this field will help you stand out during discussions.
✨Tip Number 2
Network with professionals in the automotive and finance industries. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the company culture at StudySmarter.
✨Tip Number 3
Brush up on your Python or R skills, focusing on statistical software and machine learning techniques. Being able to demonstrate your proficiency in these areas during interviews can significantly boost your chances.
✨Tip Number 4
Prepare to discuss your previous experience in risk management and validation. Be ready to share specific examples of how you've implemented robust forecasting models in past roles, as this will showcase your expertise.
We think you need these skills to ace Data Scientist - Risk Modelling
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Risk Modelling and relevant statistical software like Python or R. Use specific examples to demonstrate your skills in machine learning and predictive modelling.
Craft a Compelling Cover Letter: In your cover letter, express your passion for the automotive industry and how your background in Statistics or Data Science aligns with the company's goals. Mention any relevant projects or achievements that showcase your expertise.
Highlight Relevant Experience: When detailing your work history, focus on roles that involved risk management or validation. Be specific about the techniques you used and the outcomes of your work, especially in forecasting within the Automotive or Finance sectors.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in data science roles.
How to prepare for a job interview at Peaple Talent
✨Showcase Your Technical Skills
Make sure to highlight your experience with statistical software, particularly Python or R. Be prepared to discuss specific projects where you've applied advanced analytical techniques like machine learning and predictive modelling.
✨Demonstrate Industry Knowledge
Familiarise yourself with the automotive and finance sectors, especially in relation to risk modelling. Being able to discuss current trends and challenges in these industries will show that you are not only qualified but also genuinely interested in the field.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about how you would approach model risk management and validation, and be ready to explain your thought process clearly.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's risk management framework and their approach to model implementation. This shows your enthusiasm for the role and helps you gauge if the company aligns with your career goals.
