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- Tasks: Lead data science projects and develop machine learning models for an AI-driven e-commerce platform.
- Company: Modern e-commerce platform based in Greater London with a focus on innovation.
- Benefits: Competitive salary, mentorship opportunities, and a chance to lead in a growing team.
- Why this job: Make a real impact in AI-driven commerce while advancing your career in data science.
- Qualifications: Significant experience in data science, Python, and ML libraries required.
- Other info: Join a dynamic team and take on technical leadership roles.
The predicted salary is between 48000 - 72000 £ per year.
A modern e-commerce platform in Greater London seeks a Lead Data Scientist to drive the intelligence behind its AI-native commerce platform. The role involves end-to-end ownership of data science projects, developing machine learning models, and collaborating closely with product and engineering teams.
Ideal candidates should have:
- Significant experience in data science
- Strong skills in Python and ML libraries
- A solid understanding of deploying models in production environments
This position offers opportunities for technical leadership and mentorship within a growing team.
Senior Data Scientist: AI-Driven Commerce & ML in London employer: Swap
Contact Detail:
Swap Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist: AI-Driven Commerce & ML in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or other platforms. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those involving machine learning models. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Brush up on your Python and ML libraries by working on real-world problems or Kaggle competitions. Being able to discuss your approach and results will impress interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Senior Data Scientist: AI-Driven Commerce & ML in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and ML libraries in your application. We want to see how you've used these skills in real projects, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects where you’ve taken ownership and collaborated with teams, as that’s what we’re all about at StudySmarter.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your passion for data science shines through without any fluff!
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 Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around machine learning models and Python. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your depth of knowledge and practical experience.
✨Showcase Your Collaboration Skills
Since this role involves working closely with product and engineering teams, be prepared to talk about your experience in cross-functional collaboration. Share examples of how you've successfully worked with others to drive projects forward and how you handle differing opinions or challenges in a team setting.
✨Prepare for Technical Questions
Expect some technical questions or even a coding challenge during the interview. Practice common algorithms and data structures, and be ready to explain your thought process as you solve problems. This will demonstrate your analytical skills and ability to think on your feet.
✨Highlight Leadership and Mentorship Experience
If you have experience leading projects or mentoring junior team members, make sure to highlight that. Discuss how you've helped others grow and how you approach leadership within a technical context. This will align well with the opportunities for technical leadership mentioned in the job description.
