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- Tasks: Use Python and machine learning to enhance AI-driven services and solve complex problems.
- Company: Leading tech organisation focused on innovative solutions for government departments.
- Benefits: Competitive salary, hybrid working, and a fantastic benefits package for work-life balance.
- Why this job: Make a real impact by improving the ServiceNow platform with cutting-edge AI technology.
- Qualifications: STEM degree required, along with strong analytical and communication skills.
- Other info: Join a dynamic team with opportunities for professional growth and development.
The predicted salary is between 44447 - 57367 £ per year.
A leading tech organization is seeking a Data Scientist in the UK to enhance AI-driven services for a government department. The role involves using Python and machine learning to solve complex issues and improve the ServiceNow platform.
A STEM degree is required, paired with strong analytical and communication skills.
The job offers a competitive salary of £44,447 to £57,367, hybrid working conditions, and an excellent benefits package supporting work-life balance.
Data Scientist - AI & ServiceNow Automation in Leeds employer: Women In Tech
Contact Detail:
Women In Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - AI & ServiceNow Automation in Leeds
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and Data Science fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and machine learning. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to build your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! We regularly update our job listings, and applying directly can sometimes give you a better chance of getting noticed. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Data Scientist - AI & ServiceNow Automation in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and machine learning. We want to see how you've tackled complex issues in the past, so don’t hold back on those details!
Show Off Your STEM Background: Since a STEM degree is a must-have, be sure to mention your qualifications clearly. We love seeing how your academic background has shaped your analytical skills.
Communicate Clearly: Strong communication skills are key for this role. When writing your application, keep it clear and concise. We appreciate straightforwardness, so let us know how you can enhance our AI-driven services.
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 this exciting opportunity!
How to prepare for a job interview at Women In Tech
✨Know Your Tech
Make sure you brush up on your Python and machine learning skills before the interview. Be ready to discuss specific projects where you've applied these technologies, as well as any challenges you faced and how you overcame them.
✨Understand the ServiceNow Platform
Familiarise yourself with the ServiceNow platform and its functionalities. Being able to speak knowledgeably about how AI can enhance its services will show that you're not just a tech whiz but also understand the business context.
✨Show Off Your Analytical Skills
Prepare to demonstrate your analytical thinking. You might be asked to solve a problem on the spot, so practice explaining your thought process clearly and logically. Use examples from your past experiences to illustrate your approach.
✨Communicate Effectively
Strong communication skills are key for this role. Practice articulating complex ideas in simple terms, as you'll need to explain your findings to non-technical stakeholders. Consider doing mock interviews with friends to refine your delivery.
