At a Glance
- Tasks: Evaluate AI data insights and validate technical claims while executing scripts.
- Company: Prolific, a leader in innovative AI development.
- Benefits: Competitive pay, remote work, and flexible hours.
- Other info: Strong skills in Python, SQL, and advanced data visualisation tools required.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Relevant degree and experience in data analysis or machine learning.
The predicted salary is between 40000 - 50000 € per year.
Prolific is hiring Data Scientists and Data Analysts to join our Expert Network in Edinburgh. The role involves evaluating AI data insights, validating technical claims, and executing scripts for correctness.
Applicants should hold a relevant degree and possess real-world experience in data analysis or machine learning, with strong skills in Python, SQL, and advanced data visualization tools.
Enjoy competitive pay and the flexibility to work from home as you contribute to innovative AI development.
AI Data Scientist & Analyst — Remote, Flexible Hours in Edinburgh employer: Prolific
Prolific is an exceptional employer that values innovation and flexibility, offering Data Scientists and Analysts the opportunity to work remotely with flexible hours from the vibrant city of Edinburgh. With a strong focus on employee growth, competitive pay, and a collaborative work culture, Prolific empowers its team to contribute meaningfully to cutting-edge AI development while enjoying a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land AI Data Scientist & Analyst — Remote, Flexible Hours in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to fellow data enthusiasts on LinkedIn or join relevant online communities. We can’t stress enough how valuable connections can be in landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those involving Python and SQL. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and practical tasks. We recommend practising coding challenges and discussing your past projects to demonstrate your expertise.
✨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 about their job search.
We think you need these skills to ace AI Data Scientist & Analyst — Remote, Flexible Hours in Edinburgh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience in data analysis and machine learning. We want to see how your skills in Python, SQL, and data visualisation tools make you a perfect fit for the role!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about AI and how your background aligns with our needs. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects:If you've worked on any cool projects or have a portfolio, don’t hesitate to share! We’re keen to see real-world applications of your skills, so include links or descriptions of your work that demonstrate your expertise.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do!
How to prepare for a job interview at Prolific
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and data visualisation tools before the interview. Be ready to discuss specific projects where you've used these skills, as this will show your practical experience and understanding of the technologies.
✨Prepare for Technical Questions
Expect questions that test your knowledge of AI data insights and machine learning concepts. Practise explaining complex ideas in simple terms, as this demonstrates not only your expertise but also your ability to communicate effectively with non-technical stakeholders.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle a case study or a technical challenge during the interview. Think aloud as you work through the problem, as this will give the interviewers insight into your thought process and how you approach data analysis.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions about the company’s AI projects and future goals. This shows your genuine interest in the role and helps you gauge if the company aligns with your career aspirations.
