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- Tasks: Lead machine learning projects and mentor a small team in a hands-on role.
- Company: Global leader in Aerospace and Defence with a focus on innovation.
- Benefits: Generous leave, pension scheme, mental health support, and continuous learning opportunities.
- Why this job: Make an impact in a cutting-edge field while enjoying flexibility and work-life balance.
- Qualifications: Strong data science experience, programming skills, and knowledge of cloud platforms.
- Other info: Hybrid role offering a dynamic work environment and career growth.
The predicted salary is between 48000 - 72000 £ per year.
A global leader in Aerospace and Defence is seeking a Principal Data Scientist in Bristol. This hands-on role involves leading machine learning capabilities and managing a small team. Candidates should have strong data science experience, knowledge of programming languages, and cloud platforms.
Competitive benefits include:
- Generous leave
- Pension scheme
- Mental health support
- Opportunities for continuous learning
This is a hybrid role that promotes flexibility and work-life balance.
Principal Data Scientist: ML Leader, Mentor, Hybrid Role in Bristol employer: Leonardo UK Ltd
Contact Detail:
Leonardo UK Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist: ML Leader, Mentor, Hybrid Role in Bristol
✨Tip Number 1
Network like a pro! Reach out to current employees in the aerospace and defence sector 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 machine learning projects. We want to see how you’ve tackled real-world problems, 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 your programming languages and cloud platforms. We recommend doing mock interviews with friends or using online platforms to simulate the experience.
✨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 Principal Data Scientist: ML Leader, Mentor, Hybrid Role in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your data science experience and any relevant programming languages. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning and how you can lead a team effectively. Let us know what makes you the perfect fit for this hybrid role.
Showcase Your Leadership Skills: Since this role involves mentoring, make sure to include examples of your leadership experience. We love to see how you’ve guided others in their data science journeys and fostered a collaborative environment.
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 Leonardo UK Ltd
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around machine learning. Be ready to discuss your past projects and how you've applied different algorithms. This role is hands-on, so they’ll want to see that you can walk the talk!
✨Show Off Your Leadership Skills
Since this position involves managing a small team, be prepared to share examples of how you've mentored others or led projects. Highlight your leadership style and how you foster collaboration and innovation within your team.
✨Get Familiar with Their Tech Stack
Research the programming languages and cloud platforms that the company uses. If you have experience with them, great! If not, show your willingness to learn and adapt. Mention any relevant tools or technologies you’ve worked with that could be beneficial for the role.
✨Emphasise Work-Life Balance
Since this is a hybrid role, be ready to discuss how you manage your time and maintain a healthy work-life balance. Share any strategies you use to stay productive while working remotely, as this will resonate well with their flexible approach.
