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- Tasks: Collaborate with clients to create impactful data science solutions and ensure project success.
- Company: Leading AI company in the UK with a focus on real-world impact.
- Benefits: Unlimited annual leave, flexible hours, and comprehensive healthcare options.
- Why this job: Join a dynamic team and make a real difference in the AI landscape.
- Qualifications: Proven data science experience, strong Python skills, and excellent communication.
- Other info: Enjoy a hybrid working model that promotes work-life balance.
The predicted salary is between 28800 - 48000 £ per year.
A leading AI company in the UK is seeking a Data Scientist to join their team. The role involves working closely with clients to define project scope, driving delivery excellence, and designing data science solutions.
Candidates should have proven experience in data science, strong Python programming skills, and excellent communication capabilities.
This position offers a hybrid working model with flexible working hours and a range of benefits, including unlimited annual leave and healthcare options.
Applied AI Data Scientist - Real-World Impact, Hybrid employer: Faculty AI
Contact Detail:
Faculty AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Data Scientist - Real-World Impact, Hybrid
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at the company. You never know who might give you a heads-up about an opportunity or refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving AI. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on your Python skills and understanding the latest trends in AI. Be ready to discuss how you've applied your knowledge in real-world scenarios, as this is key for the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Applied AI Data Scientist - Real-World Impact, Hybrid
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in data science and Python programming. We want to see how your skills can drive delivery excellence and create real-world impact!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the job description. Mention specific projects where you’ve defined project scope or designed data science solutions.
Communicate Clearly: Since excellent communication is key for this role, ensure your written application is clear and concise. We love a well-structured application that tells us exactly why you’re the right fit!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Faculty AI
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in Python. Be ready to discuss your past projects and how you've used data science to solve real-world problems. This will show that you can drive delivery excellence.
✨Understand the Company’s Impact
Research the company’s recent projects and their impact on clients. Being able to articulate how your skills can contribute to their mission will set you apart. It shows you're not just interested in the role, but also in making a difference.
✨Practice Your Communication Skills
Since excellent communication is key for this role, practice explaining complex data science concepts in simple terms. You might be asked to present your ideas or solutions, so being clear and concise will help you shine.
✨Prepare Questions for Them
Think of insightful questions to ask during the interview. This could be about their approach to client projects or how they measure success. It shows you're engaged and genuinely interested in the role and the company culture.
