Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data science projects and build AI-powered digital twins.
- Company: Innovative AI company in Greater London with a focus on real-world impact.
- Benefits: Flexible working arrangements and a commitment to diversity.
- Why this job: Join a progressive team delivering impactful AI solutions.
- Qualifications: Strong Python skills, data science experience, and leadership mindset.
- Other info: Great opportunity for career growth in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
An innovative AI company in Greater London is seeking a Senior Data Scientist to lead data science projects, build AI-powered digital twins, and develop team capabilities. Ideal candidates will possess strong Python programming skills, experience in data science, and a leadership mindset. The role offers flexible working arrangements and a commitment to diversity among team members. Join a progressive team focused on delivering impactful AI solutions.
Senior Data Scientist, AI/ML for Real-World Impact in London employer: Faculty
Contact Detail:
Faculty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, AI/ML for Real-World Impact in London
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. It’s all about making connections that can help us get our foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving AI/ML. This will give us a chance to demonstrate our expertise beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on common data science questions and case studies. We want to be ready to discuss how we can lead projects and build capabilities within the team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed and shows our genuine interest in joining this innovative team.
We think you need these skills to ace Senior Data Scientist, AI/ML for Real-World Impact in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python programming expertise in your application. We want to see how you've used it in past projects, especially in data science and AI contexts.
Demonstrate Leadership Experience: Since we're looking for someone with a leadership mindset, share examples of how you've led teams or projects. We love seeing candidates who can inspire and guide others!
Tailor Your Application: Take the time to customise your CV and cover letter for this role. We appreciate when applicants connect their experiences directly to the job description, showing us why you're the perfect fit.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Faculty
✨Know Your Python Inside Out
As a Senior Data Scientist, you'll need to showcase your Python programming skills. Brush up on libraries like Pandas, NumPy, and Scikit-learn. Be ready to discuss how you've used these tools in past projects, especially in building AI models or digital twins.
✨Showcase Your Leadership Skills
This role requires a leadership mindset, so think about examples where you've led a project or mentored team members. Prepare to discuss how you can inspire and develop your colleagues while driving data science initiatives forward.
✨Understand the Impact of AI
The company is focused on delivering impactful AI solutions, so be prepared to talk about real-world applications of AI and ML. Think of specific examples where your work has made a difference, and how you envision using AI for positive change in this role.
✨Embrace Diversity and Flexibility
With a commitment to diversity and flexible working arrangements, be ready to discuss how you value diverse perspectives in a team. Share your thoughts on how flexibility can enhance productivity and creativity in data science projects.
