At a Glance
- Tasks: Create and optimise pricing models using Python and machine learning techniques.
- Company: Leading insurance recruitment firm with a focus on innovation.
- Benefits: Salary up to £65,000, bonuses, hybrid work, and career development.
- Other info: Enjoy a supportive environment with excellent growth opportunities.
- Why this job: Join a high-performing team and make a real impact in the insurance industry.
- Qualifications: Strong experience in ML, GLMs, GBMs, and production modelling.
The predicted salary is between 65000 - 65000 £ per year.
An Insurance Recruitment Firm is seeking a pricing data scientist or ML engineer in Manchester. This position offers a hybrid work environment with 2-3 days in the office, focusing heavily on Python-driven pricing models.
Candidates should have strong experience in ML, GLMs, and production modeling. The role promises significant internal support and career growth opportunities within a high-performing team.
Salary up to £65,000 plus bonus and benefits, emphasizing collaboration and impactful work.
Pricing ML Engineer: Python, GLMs/GBMs, Production employer: Gerrard White Consulting
Gerrard White Consulting is an exceptional employer, offering a dynamic and collaborative work culture within a leading international law firm. With a strong focus on innovation in the Real Estate sector, employees benefit from flexible working arrangements and ample opportunities for professional growth, making it an ideal environment for experienced lawyers looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Pricing ML Engineer: Python, GLMs/GBMs, Production
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance and data science sectors on LinkedIn. A friendly chat can open doors and give you insights into the company culture.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your Python projects, especially those involving ML and pricing models. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your technical interview skills by solving ML problems and discussing GLMs/GBMs. We recommend mock interviews with friends or using online platforms.
✨Tip Number 4
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 ML Engineer: Python, GLMs/GBMs, Production
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, ML, and GLMs/GBMs. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this position and how you can contribute to our team. Let’s see your personality come through while keeping it professional.
Showcase Your Problem-Solving Skills:In your application, mention specific examples where you've tackled complex problems using data science techniques. We love seeing how you approach challenges, especially in production environments!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Gerrard White Consulting
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially as they relate to pricing models. Be prepared to discuss specific projects where you've implemented Python for GLMs or GBMs, and think about how you can explain your thought process clearly.
✨Showcase Your ML Expertise
Be ready to dive deep into your experience with machine learning. Prepare examples of how you've applied ML techniques in production settings, and be ready to discuss the challenges you faced and how you overcame them.
✨Understand the Insurance Landscape
Familiarise yourself with the insurance industry, particularly how pricing models are used. This will not only help you answer questions more effectively but also show your genuine interest in the role and the company.
✨Prepare Questions That Matter
Think of insightful questions to ask your interviewers about the team dynamics, support for career growth, and the specific challenges they face in pricing. This shows that you're not just interested in the job, but also in contributing to their success.
