At a Glance
- 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 AI projects.
- Other info: Part-time role with project-based hours, perfect for students.
- Why this job: Make a real impact by enhancing AI solutions with your expertise.
- Qualifications: Strong experience in data science, machine learning, Python, and SQL.
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 employer: Crossing Hurdles
Join a forward-thinking technology solutions company in the UK that values innovation and flexibility. As a part-time Data Scientist, you'll enjoy a supportive work culture that encourages professional growth and collaboration, with opportunities to enhance your skills in machine learning and data analysis. With project-based hours and a focus on work-life balance, this role is perfect for those seeking meaningful employment in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Part-Time Data Scientist: ML & Python/SQL
✨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 data science, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and coding challenges. Practise 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 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
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 data science concepts in a simple way.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in data science or machine learning. Have examples ready that demonstrate your ability to validate technical concepts and provide constructive feedback, as this is key for the role.
✨Understand AI Solutions
Since the job involves refining AI-generated prompts and code, do some research on current AI trends and tools. Being able to discuss recent advancements or challenges in AI will show your passion and knowledge in the field.
✨Flexibility is Key
As this position offers flexible hours, be prepared to discuss your availability and how you manage your time effectively. Highlight any experience you have with project-based work to reassure them that you can handle the flexibility of the role.
