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- Tasks: Lead advanced analytics and machine learning projects while mentoring junior data scientists.
- Company: Join Standard Life, a forward-thinking company in Edinburgh.
- Benefits: Earn up to £75,000 with private medical cover and generous leave.
- Other info: Enjoy flexibility and excellent career growth opportunities.
- Why this job: Make a real impact in AI and ML while leading innovative initiatives.
- Qualifications: Strong background in AI, Python, and Azure DevOps required.
The predicted salary is between 75000 - 75000 £ per year.
Standard Life (previously Phoenix Group) is seeking a Lead Data Scientist in Edinburgh to lead advanced analytic and machine learning initiatives. You will own complex projects, engage with stakeholders, and mentor junior data scientists.
The role offers flexibility, a salary up to £75,000, and excellent benefits, including private medical cover and generous annual leave.
A strong background in AI, Python, and Azure DevOps is essential for success in this highly impactful position.
Lead Data Scientist: AI, ML & MLOps Leader in Edinburgh employer: Standard Life (previously Phoenix Group)
Contact Detail:
Standard Life (previously Phoenix Group) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist: AI, ML & MLOps Leader in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to current employees at Standard Life on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your AI and ML projects. We want to see your problem-solving abilities in action, so make sure it’s easy to access and visually appealing.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on Python and Azure DevOps. We recommend mock interviews with friends or using online platforms to simulate the real deal.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Lead Data Scientist: AI, ML & MLOps Leader in Edinburgh
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with AI, Python, and Azure DevOps in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your expertise!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. We love seeing how you can connect your past experiences to the responsibilities of leading advanced analytics and mentoring junior data scientists.
Engage with Us: In your application, feel free to mention any previous projects where you’ve engaged with stakeholders or led teams. We’re looking for someone who can own complex projects, so let us know how you’ve done that before!
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 from our team!
How to prepare for a job interview at Standard Life (previously Phoenix Group)
✨Know Your AI and ML Inside Out
Make sure you brush up on your knowledge of AI and machine learning concepts. Be prepared to discuss specific projects you've worked on, the algorithms you used, and the outcomes. This will show your depth of understanding and how you can apply it in real-world scenarios.
✨Showcase Your Python Skills
Since a strong background in Python is essential, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain your thought process behind a piece of code. Practising common data science problems in Python can give you an edge.
✨Engage with Stakeholders
As this role involves engaging with stakeholders, think about how you can communicate complex data insights in a clear and concise manner. Prepare examples of how you've successfully collaborated with non-technical teams in the past, as this will highlight your ability to bridge the gap between data science and business needs.
✨Mentorship Mindset
Since mentoring junior data scientists is part of the job, be ready to discuss your approach to mentorship. Think about how you can support and guide others in their learning journey. Sharing your experiences and how you've helped others grow will demonstrate your leadership potential.