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- Tasks: Review and refine AI-generated prompts and code using your data science skills.
- Company: Dynamic tech solutions company based in the UK.
- Benefits: Flexible hours, competitive pay, and the chance to work on exciting projects.
- Why this job: Make a real impact on AI solutions while working part-time.
- Qualifications: Strong experience in data science, machine learning, Python, and SQL.
- Other info: Opportunity for project-based work with potential for more hours.
The predicted salary is between 13 - 16 £ per hour.
A technology solutions company based in the United Kingdom is seeking a part-time data science professional to review and refine AI-generated prompts and code. The position requires strong experience in data science and machine learning, as well as proficiency in Python and SQL.
The ideal candidate will validate technical concepts and provide structured feedback to enhance AI solutions. This role offers flexibility with project-based hours ranging from 15 to 25 hours a week, potentially up to 40 hours.
Part-Time Data Scientist: ML & Python/SQL in London employer: Crossing Hurdles
Contact Detail:
Crossing Hurdles Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Part-Time Data Scientist: ML & Python/SQL in London
✨Tip Number 1
Network like a pro! Reach out to folks in the data science community, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and SQL. This is your chance to demonstrate your expertise in machine learning and how you can add value to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and coding challenges. Practice explaining your thought process clearly, as communication is key when validating technical concepts.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Part-Time Data Scientist: ML & Python/SQL in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, machine learning, Python, and SQL. We want to see how your skills match 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 excited about this role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for what we do at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data science or machine learning. We’re looking for candidates who can validate technical concepts and provide structured feedback, so let us know how you’ve done this before!
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 our team!
How to prepare for a job interview at Crossing Hurdles
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages, and think about how you can explain complex technical concepts in a simple way.
✨Showcase Your Data Science Experience
Prepare examples of your previous work in data science and machine learning. Highlight any experience you have with AI-generated prompts and how you've refined them. This will show that you understand the role and can contribute effectively.
✨Be Ready for Problem-Solving Questions
Expect some technical questions or case studies during the interview. Practice explaining your thought process when tackling data-related problems, as this will demonstrate your analytical skills and ability to provide structured feedback.
✨Emphasise Flexibility and Collaboration
Since this role offers project-based hours, be prepared to discuss how you manage your time effectively. Also, highlight your ability to work collaboratively, as you'll need to validate concepts and provide feedback to enhance AI solutions.
