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- Tasks: Design and solve computational problems using Python and SQL in exciting AI projects.
- Company: Mindrift, a leader in project-based AI opportunities in the UK.
- Benefits: Earn up to $55 per hour based on your expertise and contribution.
- Other info: Flexible part-time projects with opportunities for growth and development.
- Why this job: Join a dynamic team and showcase your data science skills on impactful projects.
- Qualifications: Expertise in Python, SQL, and statistical analysis with a strong portfolio.
The predicted salary is between 44000 - 57000 £ per year.
Mindrift is providing project-based AI opportunities for data science specialists in the United Kingdom. Contributors will engage in designing computational problems and must have extensive expertise in Python and statistical analysis.
They should be open to part-time projects and possess a portfolio showcasing their work. Compensation varies by project and can reach up to $55 per hour, depending on expertise and contribution pace.
Candidates must demonstrate strong written English skills at a C1 level.
Project-Based Data Science Engineer (Python & SQL) employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Project-Based Data Science Engineer (Python & SQL)
✨Tip Number 1
Network like a pro! Reach out to fellow data science enthusiasts and professionals on platforms like LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your best projects, especially those involving Python and SQL. Make sure it’s easy to navigate and showcases your problem-solving abilities.
✨Tip Number 3
Be proactive! Don’t just wait for job postings; reach out directly to companies like Mindrift. Express your interest in project-based opportunities and let them know how you can contribute.
✨Tip Number 4
Keep your skills sharp! Stay updated with the latest trends in data science and AI. Consider taking online courses or attending workshops to enhance your expertise and make yourself more appealing to potential employers.
We think you need these skills to ace Project-Based Data Science Engineer (Python & SQL)
Some tips for your application 🫡
Showcase Your Skills: Make sure to highlight your expertise in Python and SQL right from the start. We want to see how you've tackled computational problems in your previous projects, so don’t hold back on sharing your portfolio!
Tailor Your Application: Take a moment to customise your application for the Project-Based Data Science Engineer role. We love seeing candidates who align their experience with what we’re looking for, so make it clear how you fit the bill.
Keep It Clear and Concise: Your written English skills are key, so ensure your application is easy to read and free of jargon. We appreciate clarity, so get straight to the point while showcasing your achievements.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Mindrift
✨Showcase Your Portfolio
Make sure to bring along your portfolio that highlights your best work in Python and SQL. Be ready to discuss specific projects, the challenges you faced, and how you solved them. This will demonstrate your hands-on experience and problem-solving skills.
✨Brush Up on Statistical Analysis
Since the role requires extensive expertise in statistical analysis, review key concepts and be prepared to discuss how you've applied them in past projects. You might even be asked to solve a problem on the spot, so practice explaining your thought process clearly.
✨Communicate Clearly in English
As strong written English skills are a must, practice articulating your thoughts clearly and concisely. Consider doing mock interviews with a friend or using online platforms to refine your communication skills, ensuring you can express complex ideas simply.
✨Be Open About Your Availability
Since the position is project-based and part-time, be upfront about your availability and how many hours you can commit. This transparency will help both you and the company determine if it’s a good fit right from the start.