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- Tasks: Lead the development of AI microservices and mentor junior data scientists.
- Company: Join a forward-thinking government department focused on innovation.
- Benefits: Enjoy a hybrid work model, professional development, and a collaborative team.
- Why this job: Make a real impact by driving data-driven solutions in a dynamic environment.
- Qualifications: Experience in data science, AI, and strong leadership skills.
- Other info: Great opportunities for career growth and working with large datasets.
The predicted salary is between 48000 - 72000 £ per year.
A government department in the UK is seeking a Lead Data Scientist to provide technical guidance within the Automation & Innovation team. This position involves working with large datasets, developing AI microservices, and mentoring junior staff.
Key responsibilities include:
- Designing and executing complex programs
- Building scalable data pipelines
- Engaging with senior stakeholders to implement innovative data-driven solutions
Successful candidates will enjoy a collaborative environment with extensive professional development opportunities.
Lead Data Scientist: AI & Scalable ML Platforms (Hybrid) in Sheffield employer: UK Home Office
Contact Detail:
UK Home Office Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist: AI & Scalable ML Platforms (Hybrid) in Sheffield
✨Tip Number 1
Network like a pro! Reach out to current employees in the government department or similar roles 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 previous projects, especially those involving AI microservices and scalable data pipelines. This will help us demonstrate our expertise during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms. Focus on articulating how you’ve mentored junior staff and engaged with stakeholders, as these are key aspects of the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have insider tips and updates on the hiring process that can give us an edge.
We think you need these skills to ace Lead Data Scientist: AI & Scalable ML Platforms (Hybrid) in Sheffield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with large datasets and AI microservices. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our Automation & Innovation team. Keep it engaging and personal.
Showcase Your Mentoring Skills: Since mentoring junior staff is part of the gig, share examples of how you've guided others in the past. We love seeing candidates who are not just tech-savvy but also great team players!
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 us!
How to prepare for a job interview at UK Home Office
✨Know Your Data Inside Out
Make sure you’re well-versed in the datasets relevant to the role. Brush up on your experience with large datasets and be ready to discuss specific projects where you’ve developed AI microservices or built scalable data pipelines.
✨Showcase Your Mentoring Skills
Since mentoring junior staff is part of the job, prepare examples of how you've successfully guided others in the past. Think about specific instances where your mentorship led to improved performance or innovative solutions.
✨Engage with Stakeholders
Be prepared to talk about your experience working with senior stakeholders. Highlight how you’ve communicated complex technical concepts to non-technical audiences and how you’ve collaborated to implement data-driven solutions.
✨Emphasise Collaboration and Innovation
This role thrives in a collaborative environment, so come ready to discuss how you’ve worked effectively in teams. Share examples of innovative projects you’ve been part of and how you contributed to their success.
