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- Tasks: Build predictive models and analyse data to optimise pricing strategies.
- Company: Leading UK motoring services provider with a focus on innovation.
- Benefits: Competitive salary, attractive benefits, and exposure to senior stakeholders.
- Why this job: Kickstart your data science career and make an impact on consumer pricing strategies.
- Qualifications: Early career in data science with strong analytical skills.
- Other info: Dynamic work environment in Bradley Stoke with growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A leading UK motoring services provider is seeking a motivated Data Scientist to contribute to consumer pricing strategies and customer insights. This role involves building predictive models, performing robust analysis, and optimising pricing strategies while working with various data sources.
Ideal for someone early in their data science career, this position offers exposure to senior stakeholders and the chance to use modern analytical tools. The role is based in Bradley Stoke, England and includes a competitive salary and attractive benefits.
Pricing Data Scientist — Build Models & Insights employer: Rac
Contact Detail:
Rac Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Data Scientist — Build Models & Insights
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in data science roles. A friendly chat can lead to valuable insights and even job referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and analyses. This is your chance to demonstrate what you can do with data and how you can contribute to pricing strategies.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s pricing strategies. We want you to feel confident discussing how you can optimise their approach using modern analytical tools.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Pricing Data Scientist — Build Models & Insights
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the role of a Pricing Data Scientist. We want to see how your background in data science can contribute to consumer pricing strategies and customer insights.
Showcase Your Analytical Skills: In your application, emphasise any experience you have with building predictive models and performing robust analysis. We love seeing examples of how you've used modern analytical tools to solve problems or optimise strategies.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication, so make sure to express your motivation for the role and how you can add value to our team without rambling on.
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 don’t miss out on any important updates regarding your application status.
How to prepare for a job interview at Rac
✨Know Your Data Science Basics
Brush up on your foundational knowledge in data science, especially around predictive modelling and analysis techniques. Be ready to discuss how you've applied these concepts in past projects or coursework.
✨Familiarise Yourself with Pricing Strategies
Understand the key principles of pricing strategies and how they impact consumer behaviour. Prepare examples of how data can influence pricing decisions, as this will show your potential employer that you can contribute meaningfully to their goals.
✨Showcase Your Analytical Tools Proficiency
Be prepared to talk about the modern analytical tools you’ve used, such as Python, R, or SQL. If you have experience with specific libraries or frameworks, mention them and explain how they helped you solve real-world problems.
✨Engage with Stakeholders
Since this role involves working with senior stakeholders, practice articulating your ideas clearly and confidently. Think of ways to demonstrate your communication skills, perhaps by discussing a time when you successfully conveyed complex data insights to a non-technical audience.
