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- Tasks: Design complex data science problems using Python and SQL for real business scenarios.
- Company: Leading data science consultancy with a focus on innovation.
- Benefits: Competitive pay up to £55/hour and fully remote, part-time flexibility.
- Why this job: Contribute to advanced AI projects that shape future technologies.
- Qualifications: Master's or PhD with at least 5 years of experience in data science.
- Other info: Perfect for balancing work with other commitments.
The predicted salary is between 40 - 55 £ per hour.
A leading data science consultancy is seeking a Freelance Computational Data Science Expert. The role involves designing complex data science problems using Python and SQL, documenting challenges based on real business scenarios.
Applicants should have a Master's or PhD and at least 5 years of experience. This fully remote, part-time position offers competitive pay up to $55/hour and the flexibility to work around other commitments, contributing to advanced AI projects that shape future technologies.
Freelance Data Science AI Trainer (Python & SQL) in London employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Freelance Data Science AI Trainer (Python & SQL) in London
✨Tip Number 1
Network like a pro! Reach out to fellow data science enthusiasts and professionals on platforms like LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and SQL. This will give potential clients a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Don’t be shy about applying! We encourage you to apply through our website for the Freelance Data Science AI Trainer role. The more applications you send out, the better your chances of landing that dream gig.
✨Tip Number 4
Prepare for interviews by brushing up on common data science problems and solutions. Be ready to discuss how you've tackled real business challenges in the past, as this will show your expertise and problem-solving skills.
We think you need these skills to ace Freelance Data Science AI Trainer (Python & SQL) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and SQL, especially in relation to data science. We want to see how you've tackled complex problems in the past, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of your work that relate to real business scenarios, as we love seeing practical applications.
Showcase Your Expertise: Since we're looking for someone with a Master’s or PhD and at least 5 years of experience, make sure to highlight your qualifications prominently. We want to know about your journey in data science and any advanced AI projects you've contributed to.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Mindrift
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and SQL. Brush up on your coding skills and be ready to discuss specific projects where you've applied these technologies. Prepare to solve a data problem on the spot, as they might want to see your thought process.
✨Showcase Real-World Applications
Be prepared to talk about how you've tackled complex data science problems in real business scenarios. Use examples from your past experience to illustrate your problem-solving skills and how your work has impacted previous projects.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about their current AI projects and how they envision the role contributing to those. This shows your genuine interest and helps you assess if the company is the right fit for you.
✨Highlight Your Flexibility
Since this is a part-time, remote position, emphasise your ability to manage your time effectively. Share examples of how you’ve successfully balanced multiple commitments while delivering high-quality work in the past.