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- Tasks: Lead automation and machine learning projects while mentoring a small team.
- Company: Global aerospace and defence company based in Bristol.
- Benefits: Flexible working, generous leave, and strong career development support.
- Why this job: Make an impact in a cutting-edge field while developing your leadership skills.
- Qualifications: Substantial data science experience with programming and cloud expertise.
- Other info: Join a supportive environment that values innovation and growth.
The predicted salary is between 48000 - 72000 £ per year.
A global aerospace and defense company in Bristol seeks a Principal Data Scientist to lead on automation and machine learning while managing a small team. Candidates should have substantial data science experience and expertise in programming and cloud platforms. The role also involves mentoring junior staff and developing predictive models. The company offers excellent benefits such as flexible working, generous leave, and a supportive environment for career development.
Lead Data Scientist – ML, Automation & Mentoring in Bristol employer: Leonardo
Contact Detail:
Leonardo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist – ML, Automation & Mentoring in Bristol
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those involving machine learning and automation. This will help us see your expertise in action.
✨Tip Number 3
Practice your interview skills! Get comfortable discussing your experience with programming and cloud platforms. We want to hear how you’ve tackled challenges and mentored others.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Lead Data Scientist – ML, Automation & Mentoring in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially in automation and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background makes you a perfect fit. Remember, we love seeing enthusiasm for mentoring and team leadership.
Showcase Your Technical Skills: Since this role involves programming and cloud platforms, make sure to mention specific technologies you’ve worked with. We’re keen on seeing your expertise, so don’t hold back on the details!
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’s super easy – just follow the prompts!
How to prepare for a job interview at Leonardo
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in machine learning and automation. Be ready to discuss your past projects and how you've applied these concepts in real-world scenarios.
✨Show Off Your Programming Skills
Since programming is key for this role, be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand.
✨Mentoring Mindset
As you'll be mentoring junior staff, think about your approach to leadership. Prepare examples of how you've successfully guided others in the past and how you plan to foster a supportive environment for your team.
✨Cloud Platforms Knowledge
Familiarise yourself with the cloud platforms mentioned in the job description. Be ready to discuss your experience with them and how you've leveraged these tools to enhance your data science projects.
