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- Tasks: Provide technical advice on projects and mentor junior staff in data science.
- Company: A governmental service organisation focused on public data.
- Benefits: Hybrid work model, skill development, and engagement with senior stakeholders.
- Why this job: Make a difference by working with large datasets and contributing to the Data Science community.
- Qualifications: Experience in data science and strong mentoring skills.
- Other info: Minimum 60% office presence required for collaboration.
The predicted salary is between 36000 - 60000 £ per year.
A governmental service organization is looking for a Senior Data Scientist to provide technical advice within various projects. The role involves mentoring junior staff and engaging with senior stakeholders while contributing to the Data Science community. This position offers opportunities to work with large datasets and develop skills in a blend of office and home-based environments with a minimum of 60% office presence required.
Senior Data Scientist - Hybrid, Large-Scale Public Data in Croydon employer: Government Recruitment Service
Contact Detail:
Government Recruitment Service Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Hybrid, Large-Scale Public Data in Croydon
✨Tip Number 1
Network like a pro! Reach out to current employees in the organisation or similar roles on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. We recommend practising with real-world datasets and scenarios that relate to the job description. Show them you can handle large-scale data like a champ!
✨Tip Number 3
Don’t underestimate the power of soft skills! As a Senior Data Scientist, you'll be mentoring juniors and engaging with stakeholders. We should highlight our communication and leadership abilities during interviews.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have insider tips and updates on the hiring process that can give you an edge.
We think you need these skills to ace Senior Data Scientist - Hybrid, Large-Scale Public Data in Croydon
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, especially with large datasets. We want to see how your skills align with the role, so don’t be shy about showcasing your technical expertise!
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 you can contribute to our projects. Remember, we love seeing your personality come through!
Showcase Your Mentoring Skills: Since mentoring junior staff is part of the gig, share examples of how you've supported others in their learning journey. We value collaboration and want to know how you can help grow our team!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Government Recruitment Service
✨Know Your Data Inside Out
As a Senior Data Scientist, you'll be expected to handle large datasets with ease. Brush up on your technical skills and be ready to discuss specific projects where you've successfully analysed data. Prepare examples that showcase your ability to derive insights from complex data.
✨Showcase Your Mentoring Skills
Since mentoring junior staff is part of the role, think about how you can demonstrate your leadership abilities. Prepare anecdotes that highlight your experience in guiding others, whether through formal mentorship or collaborative projects.
✨Engage with Stakeholders
This position involves interacting with senior stakeholders, so practice articulating your ideas clearly and confidently. Be prepared to discuss how you've effectively communicated technical concepts to non-technical audiences in the past.
✨Embrace the Hybrid Work Model
With a minimum of 60% office presence required, show that you're adaptable to both remote and in-office work. Discuss your strategies for staying productive in different environments and how you plan to maintain strong communication with your team, regardless of location.
