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- Tasks: Lead data science projects and develop machine learning models for an AI-driven 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 ownership of exciting projects.
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 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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning models. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail, focusing on your role and the impact of your work.
✨Tip Number 4
Don’t just apply anywhere; focus on companies that excite you! Use our website to find roles that match your skills and interests. Tailor your approach to each company, showing them why you’re the perfect fit for their team.
We think you need these skills to ace Senior Data Scientist: AI-Driven Commerce & ML
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 looking for!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.
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’re considered for this exciting opportunity!
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 partnered with others to drive projects forward and how you handle differing opinions.
✨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. This will demonstrate your problem-solving skills and technical expertise.
✨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 can contribute to the team's development. This is key for a role that offers opportunities for technical leadership.
