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- Tasks: Lead data science projects and build AI-powered digital twins for real-world impact.
- Company: Innovative AI company in Greater London with a focus on diversity.
- Benefits: Flexible working arrangements and a commitment to professional growth.
- Why this job: Join a progressive team delivering impactful AI solutions that make a difference.
- Qualifications: Strong Python skills, data science experience, and a leadership mindset.
- Other info: Dynamic environment with opportunities for career advancement.
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
- 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 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
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those involving AI/ML. We want to see how you’ve made an impact in previous roles—make it pop!
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on Python and data science concepts. We recommend mock interviews with friends or using online platforms to simulate the real deal.
✨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 are genuinely interested in joining our innovative team.
We think you need these skills to ace Senior Data Scientist, AI/ML for Real-World Impact
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python programming skills and any relevant data science experience. We want to see how you can lead projects and contribute to our innovative AI solutions!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Senior Data Scientist role. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Yourself: We value diversity and want to get to know the real you. Don’t be afraid to let your personality shine through in your application. Show us what makes you unique and how you can contribute to our progressive team!
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and ensure it gets the attention it deserves!
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 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 Experience
This role requires a leadership mindset, so think about times when you've led a project or mentored others. Prepare examples that highlight your ability to guide a team, make decisions, and drive results in data science initiatives.
✨Understand the Company’s Impact
Research the company’s mission and recent projects. Be prepared to discuss how your work can contribute to their goal of delivering impactful AI solutions. Showing genuine interest in their vision will set you apart from other candidates.
✨Prepare for Technical Questions
Expect technical questions related to AI/ML concepts and data science methodologies. Practice explaining complex ideas clearly and concisely. You might also be asked to solve a problem on the spot, so brush up on your problem-solving skills!
