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- Tasks: Enhance AI-driven features and optimise recommendation systems for next-gen commerce.
- Company: Leading tech startup in the UK with a focus on innovation.
- Benefits: Competitive salary, stock options, and a dynamic work environment.
- Other info: Exciting opportunities for growth in a vibrant London startup.
- Why this job: Join a cutting-edge team and shape the future of commerce with AI.
- Qualifications: 5+ years in data science and strong Python skills.
The predicted salary is between 43200 - 72000 £ per year.
A leading tech startup in the UK seeks an experienced Data Scientist to enhance their AI-native platform. You will optimize AI-driven features across the commerce journey, leveraging behavioral data and enhancing recommendation systems.
Ideal candidates have over 5 years of experience in data science and a strong proficiency in Python.
The role offers competitive salary, stock options, and a dynamic startup environment in London.
Agentic AI Data Scientist — Build Next-Gen Commerce in London employer: Swap
Contact Detail:
Swap Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Agentic AI Data Scientist — Build Next-Gen Commerce in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and data science. We want to see your Python prowess and how you've optimised systems in real-world scenarios.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. We recommend practising with friends or using mock interview platforms to build your confidence.
✨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 Agentic AI Data Scientist — Build Next-Gen Commerce in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of experience in data science. We want to see how you've tackled real-world problems and optimised AI-driven features in your previous roles.
Python Proficiency is Key: Since strong proficiency in Python is a must, don’t forget to mention specific projects or tasks where you’ve used Python effectively. We love seeing practical examples!
Tailor Your Application: Take a moment to customise your application for this role. Mention how your skills align with enhancing recommendation systems and leveraging behavioural data. It shows us you’re genuinely interested!
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 from our team.
How to prepare for a job interview at Swap
✨Know Your AI Inside Out
Make sure you brush up on the latest trends in AI and data science, especially as they relate to commerce. Be ready to discuss how you've used behavioural data in past projects and how it can enhance recommendation systems.
✨Showcase Your Python Skills
Since proficiency in Python is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and algorithms beforehand.
✨Prepare Real-World Examples
Think of specific projects where you've optimised AI-driven features. Be ready to explain your thought process, the challenges you faced, and the impact your work had on the overall commerce journey.
✨Understand the Startup Culture
Familiarise yourself with the dynamics of working in a startup environment. Be prepared to discuss how you adapt to fast-paced changes and contribute to a collaborative team atmosphere.