At a Glance
- Tasks: Lead pricing analytics projects and apply ML techniques to optimise pricing strategies.
- Company: Join a rapidly growing company that values innovation and expansion in the pricing sector.
- Benefits: Enjoy a hybrid work model with 2.5 days in the office and competitive perks.
- Other info: This role is based in London, perfect for those looking to grow their career in a dynamic environment.
- Why this job: Be part of an exciting expansion project and make a real impact in pricing analytics.
- Qualifications: 1-5 years of experience in pricing, with skills in Python, R, and ML techniques required.
The predicted salary is between 43200 - 72000 € per year.
Are you looking for a new pricing role in a rapidly growing company? Our client is currently expanding and is welcoming anyone with 1 - 5 years of experience in pricing to apply for their London/regional based team.
We are currently busy recruiting for an expansion project where multiple, different roles are available. I'm looking to speak to candidates with exposure in ML techniques, Python and R who have a background in technical/street pricing across personal lines.
Our client requires employees to be in the office for 2.5 days/week (London Based).
Please reach out if you are interested in finding out more!
StudySmarter Expert Advice🤫
We think this is how you could land Pricing Analytics Lead in London
✨Tip Number 1
Familiarise yourself with the latest trends in pricing analytics, especially in personal lines. This will not only help you understand the market better but also give you talking points during interviews.
✨Tip Number 2
Brush up on your Python and R skills, as these are crucial for the role. Consider working on a small project or two that showcases your ability to apply machine learning techniques in pricing scenarios.
✨Tip Number 3
Network with professionals in the pricing analytics field. Attend industry events or webinars where you can meet potential colleagues or mentors who can provide insights and possibly refer you to opportunities.
✨Tip Number 4
Prepare to discuss your previous experiences with technical and street pricing. Be ready to share specific examples of how you've used data analysis to influence pricing strategies in your past roles.
We think you need these skills to ace Pricing Analytics Lead in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in pricing analytics, particularly any exposure to machine learning techniques, Python, and R. Use specific examples to demonstrate your skills in technical and street pricing.
Craft a Compelling Cover Letter:Write a cover letter that not only expresses your interest in the Pricing Analytics Lead position but also showcases your understanding of the role and how your background aligns with the company's needs. Mention your relevant experience and enthusiasm for working in a rapidly growing company.
Highlight Relevant Projects:If you have worked on specific projects involving pricing analytics or machine learning, be sure to include these in your application. Describe your role, the tools you used, and the outcomes of the projects to give a clear picture of your capabilities.
Proofread Your Application:Before submitting your application, take the time to proofread it thoroughly. Check for any spelling or grammatical errors, and ensure that all information is accurate and presented clearly. A polished application reflects your attention to detail.
How to prepare for a job interview at Eames Consulting
✨Showcase Your Technical Skills
Make sure to highlight your experience with ML techniques, Python, and R during the interview. Prepare specific examples of how you've used these skills in previous roles, especially in relation to pricing analytics.
✨Understand the Company’s Pricing Strategy
Research the company’s approach to pricing, particularly in personal lines. Being able to discuss their current strategies and suggest improvements can demonstrate your genuine interest and expertise in the field.
✨Prepare for Behavioural Questions
Expect questions that assess your problem-solving abilities and teamwork. Use the STAR method (Situation, Task, Action, Result) to structure your answers, showcasing how you’ve successfully navigated challenges in past roles.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team dynamics. Inquire about the tools they use for pricing analysis or how they integrate machine learning into their pricing strategies. This shows your enthusiasm and engagement.
