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- Tasks: Dive into data preprocessing, model building, and deploying AI solutions with engineering teams.
- Company: Join a forward-thinking referral partner for exciting AI projects.
- Benefits: Earn up to $100/hr, enjoy flexible hours, and work remotely.
- Why this job: Make an impact in the AI field while honing your data science skills.
- Qualifications: Strong data science background, Python proficiency, and familiarity with numpy and pandas.
- Other info: Contract role lasting about two months, with potential for extension.
The predicted salary is between 13 - 16 £ per hour.
A referral partner for AI projects is seeking an experienced Data Scientist to work remotely. This hourly position pays up to $100/hr based on skills and experience.
You will focus on hands-on tasks such as data preprocessing, model building, and collaborating with engineering teams to deploy solutions.
Ideal candidates should have a strong background in data science, proficiency in Python, and familiarity with libraries like numpy and pandas.
The role offers flexible hours, approximately 10-40 hours per week, and is expected to last about two months, with extensions possible.
Remote Data Scientist — AI/ML Experiments & Deployment (Contract) in London employer: Crossing Hurdles
Contact Detail:
Crossing Hurdles Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Scientist — AI/ML Experiments & Deployment (Contract) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML field and let them know you're on the lookout for opportunities. A personal referral can make all the difference in landing that remote Data Scientist gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data preprocessing and model building projects. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Stay flexible and open-minded! Since this role offers flexible hours, be ready to adapt your schedule. Highlight your availability during interviews to show you're keen and ready to jump in.
✨Tip Number 4
Apply through our website! We make it super easy for you to find and apply for roles like this one. Plus, it shows you're serious about joining our team and working on exciting AI projects.
We think you need these skills to ace Remote Data Scientist — AI/ML Experiments & Deployment (Contract) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially with Python and libraries like numpy and pandas. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects!
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 remote Data Scientist role. Share specific examples of your hands-on tasks like data preprocessing and model building to grab our attention.
Showcase Your Collaboration Skills: Since this role involves working with engineering teams, highlight any past experiences where you’ve successfully collaborated on projects. We love seeing candidates who can work well with others, so let us know how you’ve done this in the past!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Crossing Hurdles
✨Know Your Data Science Fundamentals
Brush up on your data science basics, especially around data preprocessing and model building. Be ready to discuss your experience with Python and libraries like numpy and pandas, as these will likely come up during the interview.
✨Showcase Your Hands-On Experience
Prepare to share specific examples of past projects where you’ve successfully deployed AI/ML solutions. Highlight your role in collaborating with engineering teams, as teamwork is key in this position.
✨Be Ready for Technical Questions
Expect technical questions that test your problem-solving skills. Practice coding challenges or case studies related to data science to demonstrate your analytical thinking and proficiency in Python.
✨Ask Insightful Questions
At the end of the interview, ask questions that show your interest in the company’s AI projects and their deployment strategies. This not only shows your enthusiasm but also helps you gauge if the role aligns with your career goals.
