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- Tasks: Design and develop AI models for complex datasets in a collaborative environment.
- Company: Cutting-edge AI firm based in Cambridge, focused on real-world impact.
- Benefits: Competitive salary, equity participation, and opportunities for professional growth.
- Why this job: Join a team that delivers innovative data solutions and makes a real difference.
- Qualifications: PhD or equivalent experience with strong Python skills required.
- Other info: Exciting opportunity to work on impactful projects with talented professionals.
The predicted salary is between 36000 - 60000 £ per year.
A cutting-edge AI firm in Cambridge seeks exceptional AI Data Scientists. You will design and develop models for complex datasets while working closely with engineers and validation teams.
A PhD or equivalent experience is essential, along with strong Python skills. This full-time position emphasizes collaboration and delivers impactful real-world systems.
Competitive salary and equity participation included. Apply now with your CV and GitHub link to contribute to innovative data solutions.
Applied AI Data Scientist — Real-World Delivery (Cambridge) employer: FactTrace
Contact Detail:
FactTrace Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Data Scientist — Real-World Delivery (Cambridge)
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best projects, especially those involving complex datasets and Python. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by solving AI-related problems on platforms like LeetCode or HackerRank. We want to be sharp and confident when it’s our turn!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Applied AI Data Scientist — Real-World Delivery (Cambridge)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience and skills, especially in Python and AI. We want to see how your background aligns with the role, so don’t be shy about showcasing your PhD or equivalent experience!
Showcase Your Projects: Include a link to your GitHub in your application. We love seeing real-world examples of your work, so make sure to highlight any projects that demonstrate your ability to design and develop models for complex datasets.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about why you’re a great fit for our team.
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 and shows us you’re serious about joining our innovative team!
How to prepare for a job interview at FactTrace
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and techniques in AI. Be prepared to discuss your previous projects in detail, especially those involving complex datasets. This will show your passion and expertise in the field.
✨Showcase Your Python Skills
Since strong Python skills are essential for this role, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data manipulation tasks beforehand.
✨Collaboration is Key
This position emphasises teamwork, so be prepared to discuss how you've successfully collaborated with engineers and validation teams in the past. Share specific examples that highlight your communication skills and ability to work in a team.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the company’s projects, culture, and future directions. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
