Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Collaborate on AI projects and tackle complex data scraping tasks remotely.
- Company: Mindrift, a forward-thinking company at the intersection of AI and human expertise.
- Benefits: Flexible hours, unique experiences, and performance-based bonuses.
- Why this job: Join a dynamic team and make an impact in the exciting world of AI.
- Qualifications: Strong Python web scraping skills with 3+ years of experience.
The predicted salary is between 30000 - 40000 £ per year.
Mindrift is seeking a Python Data Scraping Engineer for the Tendem project in Birmingham. This part-time remote role involves collaborating with AI and handling complex data scraping tasks, ensuring accuracy and quality.
Candidates should have a strong background in Python web scraping and 3+ years of relevant experience.
Benefits include:
- Flexible working hours
- Unique experiences at the intersection of AI and human expertise
- Opportunities for performance-based bonuses
Remote Python Data Scraping Engineer for AI Projects in Birmingham employer: Mindrift
Contact Detail:
Mindrift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Python Data Scraping Engineer for AI Projects in Birmingham
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data scraping community. Join relevant forums, LinkedIn groups, or even local meetups. You never know who might have a lead on that perfect role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python web scraping projects. This could be a GitHub repo or a personal website. It’s a great way to demonstrate your expertise and stand out from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common data scraping challenges and be ready to discuss your past experiences. We recommend practising coding problems related to web scraping to really impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a straightforward way to get your application noticed by the right people.
We think you need these skills to ace Remote Python Data Scraping Engineer for AI Projects in Birmingham
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python web scraping in your application. We want to see specific examples of projects you've worked on, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your application for this role. Mention how your skills align with the Tendem project and our focus on AI. This shows us you’re genuinely interested in what we do!
Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon. We appreciate a well-structured application that’s easy to read.
Apply Through Our Website: Don’t forget 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. We can’t wait to hear from you!
How to prepare for a job interview at Mindrift
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially focusing on web scraping libraries like Beautiful Soup and Scrapy. Be ready to discuss your past projects and how you tackled specific challenges in data scraping.
✨Showcase Your AI Knowledge
Since this role involves collaboration with AI, it’s crucial to demonstrate your understanding of how data scraping feeds into AI projects. Prepare examples of how your work has contributed to AI initiatives or improved data quality.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving abilities. Practice coding challenges related to data scraping and be ready to explain your thought process clearly. This will show your analytical skills and how you approach complex tasks.
✨Highlight Flexibility and Collaboration
As this is a remote role, emphasise your ability to work independently while also being a team player. Share experiences where you successfully collaborated with others, especially in a remote setting, to showcase your adaptability.