At a Glance
- Tasks: Design challenging problems for AI projects using Python and SQL.
- Company: Leading AI consultancy with a focus on innovation.
- Benefits: Earn up to $55/hour with flexible scheduling.
- Other info: Ideal for those looking to balance work with other commitments.
- Why this job: Make an impact in the AI field while working remotely.
- Qualifications: Master's or PhD in a quantitative field and 5+ years of experience.
The predicted salary is between 40 - 55 £ per hour.
A leading AI consultancy is seeking a Freelance Computational Data Science Expert to design problems for AI projects. This fully remote, part-time role requires advanced expertise in Python, SQL, and data science principles.
Ideal candidates have:
- a master's or PhD in a quantitative field,
- at least 5 years of experience,
- a strong portfolio of impactful projects.
Benefits include competitive pay up to $55/hour and flexible scheduling to accommodate other commitments.
GenAI Data Science Trainer - Python & SQL (Remote) employer: Mindrift
Join a leading AI consultancy that values innovation and expertise, offering a fully remote, part-time role as a GenAI Data Science Trainer. With competitive pay of up to $55/hour and the flexibility to manage your own schedule, this position not only allows you to leverage your advanced skills in Python and SQL but also fosters a culture of growth and collaboration among top-tier professionals in the field.
StudySmarter Expert Advice🤫
We think this is how you could land GenAI Data Science Trainer - Python & SQL (Remote)
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and data science fields. We all know that sometimes it’s not just what you know, but who you know that can land you that dream gig.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your best projects in Python and SQL. We recommend including case studies that demonstrate your problem-solving abilities and the impact of your work.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and scenarios. We suggest practising coding challenges and discussing your past projects to showcase your expertise and experience.
✨Tip Number 4
Apply through our website! It’s super easy and gives you a direct line to the hiring team. We’re always on the lookout for talented individuals like you, so don’t miss out on the chance to join us!
We think you need these skills to ace GenAI Data Science Trainer - Python & SQL (Remote)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your expertise in Python and SQL right from the get-go. We want to see how your skills align with the role, so don’t hold back on showcasing your best projects!
Tailor Your Portfolio:When you’re putting together your application, pick out the projects that really demonstrate your data science prowess. We love seeing impactful work, so choose examples that show off your problem-solving abilities.
Keep It Professional Yet Personal:While we appreciate a professional tone, don’t be afraid to let your personality shine through. A bit of flair can make your application stand out, so feel free to share what excites you about this role!
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss any important updates!
How to prepare for a job interview at Mindrift
✨Showcase Your Expertise
Make sure to highlight your advanced skills in Python and SQL during the interview. Prepare specific examples from your portfolio that demonstrate how you've applied these skills in real-world projects, especially those that had a significant impact.
✨Understand the Role
Familiarise yourself with the responsibilities of a Computational Data Science Expert. Be ready to discuss how you would approach designing problems for AI projects, and think about any relevant experiences that align with this task.
✨Prepare for Technical Questions
Expect technical questions related to data science principles. Brush up on key concepts and be prepared to solve problems on the spot. Practising coding challenges in Python and SQL can help you feel more confident.
✨Ask Insightful Questions
At the end of the interview, ask thoughtful questions about the company’s AI projects and their expectations for the role. This shows your genuine interest and helps you gauge if the position aligns with your career goals.
