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- Tasks: Shape ML strategy and lead high-performing teams in a dynamic insurance environment.
- Company: Leading UK insurance company focused on innovation and ethical data science.
- Benefits: Competitive salary, bonuses, flexible benefits, and career development opportunities.
- Why this job: Make a real impact in the ML field while shaping the future of insurance.
- Qualifications: Strong ML leadership experience and proficiency in TensorFlow, PyTorch, and cloud platforms.
- Other info: Join a forward-thinking team with a commitment to ethical standards in data science.
The predicted salary is between 54000 - 84000 £ per year.
A leading insurance company in the UK is seeking a Senior Recruiter to shape their Machine Learning strategy and lead high-performing teams. This role involves defining multi-year ML roadmaps, influencing strategy, and upholding ethical standards in data science.
The ideal candidate will have a strong background in ML leadership, advanced techniques like TensorFlow and PyTorch, and experience with cloud platforms.
The company offers competitive salary packages, including bonuses and flexible benefits.
Head of ML Strategy & Delivery in England employer: Aviva
Contact Detail:
Aviva Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of ML Strategy & Delivery in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Showcase your skills! Create a portfolio or a GitHub repository with your ML projects. This gives potential employers a taste of what you can do and sets you apart from the crowd. We love seeing real-world applications of your expertise!
✨Tip Number 3
Prepare for those interviews! Research common ML interview questions and practice your answers. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate candidates who want to shape the future of ML in our company.
We think you need these skills to ace Head of ML Strategy & Delivery in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Head of ML Strategy & Delivery role. Highlight your leadership in ML, experience with TensorFlow and PyTorch, and any cloud platform expertise to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about shaping ML strategies and how you can influence our approach. Be genuine and let your personality come through.
Showcase Your Achievements: Don’t just list your responsibilities; showcase your achievements in previous roles. Use metrics where possible to demonstrate how you've led high-performing teams and delivered successful ML projects.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Aviva
✨Know Your ML Stuff
Make sure you brush up on your machine learning knowledge, especially around advanced techniques like TensorFlow and PyTorch. Be ready to discuss how you've applied these in previous roles and how they can shape the company's ML strategy.
✨Showcase Your Leadership Skills
As a Head of ML Strategy & Delivery, you'll need to demonstrate your ability to lead high-performing teams. Prepare examples of how you've successfully managed teams in the past, focusing on your approach to mentoring and developing talent.
✨Understand the Ethical Side
Ethics in data science is crucial, so be prepared to discuss how you uphold ethical standards in your work. Think about scenarios where you've had to make tough decisions regarding data usage and how you navigated those challenges.
✨Get Familiar with Cloud Platforms
Since experience with cloud platforms is key for this role, make sure you can talk about your familiarity with them. Highlight any specific projects where you've leveraged cloud technologies to enhance ML delivery and strategy.
