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- Tasks: Develop AI solutions and optimise data workflows in a collaborative team.
- Company: Leading tech firm in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make an impact in AI and data science while mentoring the next generation.
- Qualifications: 10+ years in data science, strong Python skills, and cloud platform expertise.
- Other info: Agile environment with a chance to influence junior team members.
The predicted salary is between 43200 - 72000 £ per year.
A leading tech firm in the United Kingdom is looking for an experienced professional to develop solutions in data science and AI. The role requires a strong proficiency in Python and expertise with cloud platforms like AWS and Azure, alongside extensive experience with spatial databases and geospatial libraries.
Candidates should have a minimum of 10 years of relevant experience and be able to optimize workflows and collaborate with teams effectively. This position offers an opportunity to work in an agile environment and influence junior members.
Senior AI Data Scientist: Geospatial, Cloud-Scale Pipelines in Abingdon employer: Visuna
Contact Detail:
Visuna Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Data Scientist: Geospatial, Cloud-Scale Pipelines in Abingdon
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with AI and geospatial data. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to Python, cloud platforms, and geospatial libraries. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI and data science. We recommend practising your answers with a friend or even in front of the mirror to boost your confidence before the big day.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our team.
We think you need these skills to ace Senior AI Data Scientist: Geospatial, Cloud-Scale Pipelines in Abingdon
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, cloud platforms like AWS and Azure, and any work you've done with spatial databases. We want to see how your skills match up with what we're looking for!
Showcase Your Projects: Include specific examples of projects where you've developed solutions in data science and AI. This helps us understand your hands-on experience and how you can contribute to our team.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see your qualifications at a glance!
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!
How to prepare for a job interview at Visuna
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with AWS and Azure. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Geospatial Expertise
Prepare to talk about your experience with spatial databases and geospatial libraries. Have examples ready that demonstrate how you've applied this knowledge in real-world scenarios, especially in optimising workflows.
✨Collaboration is Key
Since the role involves working with teams, think of instances where you've successfully collaborated with others. Highlight your communication skills and how you've influenced junior members in previous roles.
✨Embrace the Agile Mindset
Familiarise yourself with agile methodologies and be prepared to discuss how you've worked in agile environments before. Share examples of how you've adapted to changes and contributed to team success in fast-paced settings.
