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- Tasks: Tackle complex data science challenges and create technical solutions.
- Company: Leading AI solutions provider with a focus on innovation.
- Benefits: Flexible hours, excellent compensation, and remote work.
- Why this job: Engage with cutting-edge AI models and make a real impact.
- Qualifications: Master's or PhD in Data Science and strong analytical writing skills.
- Other info: Perfect for those seeking a dynamic and flexible work environment.
The predicted salary is between 13 - 22 £ per hour.
A leading AI solutions provider seeks a Data Scientist for an hourly contract role, offering flexible hours. The position focuses on developing complex data science challenges and authoring rigorous technical solutions.
Ideal candidates should have a Master's or PhD in Data Science or a related field, along with strong analytical writing and attention to detail. Engage with industry-leading AI models and enjoy excellent compensation in a remote setting.
Remote AI Data Scientist & Trainer (Contract) in London employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote AI Data Scientist & Trainer (Contract) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI field on LinkedIn or join relevant online communities. Engaging with others can lead to hidden job opportunities and valuable insights.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your data science projects, especially those involving complex challenges. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and case studies related to AI. Practising your analytical writing skills can also help you articulate your thought process clearly during discussions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Remote AI Data Scientist & Trainer (Contract) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your analytical writing skills and any relevant experience in data science. We want to see how you tackle complex challenges, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to match the job description. Use keywords from the posting to show us you’re a perfect fit for the role. It’s all about making that connection!
Be Detail-Oriented: Pay close attention to your application format and grammar. We love candidates who can present their ideas clearly and concisely, so double-check everything before hitting send!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Alignerr
✨Know Your Data Science Fundamentals
Brush up on your core data science concepts and methodologies. Be prepared to discuss your experience with complex data challenges and how you've approached them in the past. This will show your depth of knowledge and analytical skills.
✨Showcase Your Technical Writing Skills
Since strong analytical writing is key for this role, bring examples of your previous work. Whether it's reports, research papers, or technical documentation, having tangible proof of your writing ability can set you apart from other candidates.
✨Familiarise Yourself with AI Models
Research the latest industry-leading AI models and be ready to discuss them. Understanding their applications and limitations will demonstrate your engagement with the field and your readiness to contribute to innovative solutions.
✨Prepare Questions About Flexibility and Collaboration
Since this is a remote position, think about how you can effectively collaborate with a team. Prepare questions about communication tools and strategies they use to maintain productivity and connection in a remote setting.
