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- Tasks: Develop Python tools and enhance software engineering standards in a dynamic team.
- Company: Leading UK insurance firm with a focus on innovation and collaboration.
- Benefits: Flexible working, competitive salary, generous leave, and private medical cover.
- Why this job: Join a forward-thinking team and make a real impact in pricing analytics.
- Qualifications: Expertise in Python and a collaborative mindset are essential.
- Other info: Great opportunities for career growth in a supportive environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading insurance firm in the UK seeks a Machine Learning Engineer to enhance the Pricing and Analytics department. The role involves developing Python tools, improving software engineering standards, and collaborating with teams.
The firm offers flexible working arrangements and a comprehensive rewards package, including competitive salary, generous leave, and benefits like private medical cover.
Candidates should have expertise in Python and a collaborative attitude.
Senior ML Engineer, Pricing Analytics Platform in Manchester employer: AXA Group
Contact Detail:
AXA Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer, Pricing Analytics Platform in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at the firm on LinkedIn. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your Python projects, especially those related to machine learning. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on common ML interview questions and coding challenges. We recommend doing 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 seen by the right people. Plus, it shows you’re genuinely interested in the role.
We think you need these skills to ace Senior ML Engineer, Pricing Analytics Platform in Manchester
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your expertise in Python throughout your application. We want to see how you've used it in past projects, especially in relation to pricing analytics or similar fields.
Collaborate Like a Pro: Since collaboration is key for us, share examples of how you've worked with teams in the past. Whether it's cross-departmental projects or team-based problem-solving, let us know how you thrive in a collaborative environment.
Tailor Your Application: Don’t just send a generic CV and cover letter. Tailor your application to reflect the specific requirements of the Senior ML Engineer role. We love seeing candidates who take the time to connect their experience with what we’re looking for.
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’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at AXA Group
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python tools and frameworks, and think of specific projects where you've applied these skills. This will show that you're not just familiar with the language but can also use it effectively in a professional setting.
✨Showcase Your Collaborative Spirit
Since the role involves working with various teams, be prepared to share examples of how you've successfully collaborated in the past. Think about times when you worked with cross-functional teams or contributed to group projects. Highlighting your teamwork skills will demonstrate that you fit well with their collaborative culture.
✨Understand the Pricing Analytics Landscape
Familiarise yourself with the current trends and challenges in pricing analytics within the insurance sector. Being able to discuss relevant industry insights during your interview will show that you're genuinely interested in the role and understand its context.
✨Prepare Questions That Matter
Have a list of thoughtful questions ready for your interviewers. Ask about the team's current projects, the technologies they use, or how they measure success in the Pricing and Analytics department. This not only shows your enthusiasm for the role but also helps you gauge if the company is the right fit for you.
