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- Tasks: Lead the data science lifecycle and develop innovative machine learning models.
- Company: A leading tech firm in Greater London with a focus on AI-driven commerce.
- Benefits: Competitive salary, stock options, and comprehensive benefits in a dynamic startup.
- Why this job: Join a cutting-edge team and shape the future of AI-native commerce.
- Qualifications: Strong experience in Python, machine learning, and production workflows.
- Other info: Exciting startup environment with opportunities for growth and innovation.
The predicted salary is between 43200 - 72000 £ per year.
A leading tech firm based in Greater London is seeking a Lead Data Scientist to enhance its AI-native commerce platform. You will own the data science lifecycle, develop machine learning models, and collaborate with cross-functional teams.
The ideal candidate has significant experience and a strong grasp of Python, machine learning techniques, and production workflows.
This role offers a competitive base salary, stock options, and benefits in a dynamic startup environment.
Senior Data Scientist, AI-Driven Commerce employer: Swap
Contact Detail:
Swap Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, AI-Driven Commerce
✨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 insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects and data science achievements. We want to see what you can do, so make it easy for them to be impressed!
✨Tip Number 3
Ace the interview! Research common data science interview questions and practice your answers. We need to demonstrate not just our technical skills but also how we can collaborate with cross-functional teams.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Senior Data Scientist, AI-Driven Commerce
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and machine learning techniques. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI-driven commerce and how your background makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any interesting data science projects, make sure to mention them in your application. We love seeing real-world applications of your skills, especially those that demonstrate your ability to develop machine learning models.
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. Plus, it’s super easy!
How to prepare for a job interview at Swap
✨Know Your Data Science Lifecycle
Make sure you can confidently discuss the entire data science lifecycle. Be prepared to explain how you've owned projects from data collection to model deployment, as this will show your comprehensive understanding of the process.
✨Showcase Your Machine Learning Expertise
Brush up on your machine learning techniques and be ready to discuss specific models you've developed. Bring examples of how you've applied these models in real-world scenarios, especially in commerce-related projects.
✨Demonstrate Cross-Functional Collaboration
Since this role involves working with various teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you’ve translated complex data insights into actionable strategies for non-technical stakeholders.
✨Prepare for Technical Questions
Expect technical questions related to Python and production workflows. Practice coding challenges or case studies that might come up during the interview. This will help you feel more confident and demonstrate your problem-solving abilities.
