At a Glance
- Tasks: Build AI-driven shopping insights and optimise language technology for an innovative assistant.
- Company: Join Amazon Science, a leader in tech innovation and customer experience.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborate with top engineers and scientists in a dynamic, fast-paced environment.
- Why this job: Make a real impact on shopping experiences using cutting-edge AI technology.
- Qualifications: Master’s degree in a relevant field and strong skills in machine learning and data analysis.
The predicted salary is between 60000 - 80000 £ per year.
Amazon Science is seeking a passionate Data Scientist in Greater London. The role focuses on building language technology for Rufus, an AI-driven shopping assistant. Candidates should have strong experience in machine learning, data analysis, and tools like SQL and Python. A Master’s degree in a relevant field is required.
The position involves:
- Optimizing AI technologies
- Designing experiments
- Collaborating with engineers and scientists to improve customer experiences through data-driven insights
Data Scientist II: Multimodal AI for Shopping Insights in London employer: Amazon Science
Amazon Science is an exceptional employer, offering a dynamic work culture in Greater London that fosters innovation and collaboration. Employees benefit from extensive growth opportunities, access to cutting-edge technology, and the chance to work alongside leading experts in AI and machine learning, all while contributing to meaningful projects that enhance customer experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist II: Multimodal AI for Shopping Insights in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Amazon Science on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects, especially those using SQL and Python. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common data science interview questions and coding challenges. We can even set up mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to match the job description perfectly.
We think you need these skills to ace Data Scientist II: Multimodal AI for Shopping Insights in London
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for data science and AI shine through. We want to see that you’re genuinely excited about the role and how it fits into your career goals.
Highlight Relevant Experience:Make sure to showcase your experience with machine learning, SQL, and Python. We’re looking for specific examples of how you’ve used these tools in past projects or roles, so don’t hold back!
Tailor Your Application:Customise your CV and cover letter to align with the job description. We appreciate when candidates take the time to connect their skills and experiences directly to what we’re looking for in a Data Scientist II.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Amazon Science
✨Know Your Tech Inside Out
Make sure you’re well-versed in machine learning concepts and tools like SQL and Python. Brush up on your knowledge of language technology and be ready to discuss how you've applied these skills in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data analysis or AI optimisation. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Collaborate Like a Pro
Since the role involves working with engineers and scientists, be ready to discuss your experience in collaborative projects. Share examples of how you’ve successfully worked in teams to achieve data-driven insights.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team at Amazon Science. This shows your genuine interest in the position and helps you understand how you can contribute to improving customer experiences.
