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- Tasks: Lead advanced analytics and machine learning projects while mentoring junior data scientists.
- Company: Standard Life, a forward-thinking company in Edinburgh.
- Benefits: Salary up to £75,000, private medical cover, and generous annual leave.
- Other info: Join a dynamic team with opportunities for professional growth.
- Why this job: Make a significant impact in AI and ML while enjoying flexible work arrangements.
- 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 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
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Standard Life on LinkedIn. A friendly chat can give us insider info and might even lead to 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 digest 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 doing 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
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 candidates who take the time to connect their experiences with what we’re looking for at Standard Life.
Engage with Us: In your application, feel free to mention any projects or initiatives where you’ve engaged with stakeholders or mentored others. We value collaboration and leadership, so let us know how you’ve made an impact!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity.
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 that you not only understand the theory but can also apply it in real-world scenarios.
✨Showcase Your Python Skills
Since a strong background in Python is essential for this role, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot or explain how you've used Python in past projects. Practising common data science problems in Python can give you an edge.
✨Engage with Stakeholders
As you'll be 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 role, be ready to discuss your approach to mentorship. Think about how you've supported others in their learning journey and be prepared to share specific examples. This will demonstrate your leadership qualities and commitment to team development.