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: Collaborative environment with a focus on innovation and career advancement.
- 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, and collaborating with engineers and scientists to improve customer experiences through data-driven insights.
Data Scientist II: Multimodal AI for Shopping Insights employer: Amazon Science
At Amazon Science, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. As a Data Scientist II in Greater London, you will have access to cutting-edge technology and resources, along with ample opportunities for professional growth and development. Join us to make a meaningful impact on customer experiences while working alongside some of the brightest minds in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist II: Multimodal AI for Shopping Insights
✨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 involving 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
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 how excited you are about the role and how your skills can contribute to building amazing technology like Rufus.
Tailor Your CV:Make sure your CV highlights your experience with machine learning, SQL, and Python. We’re looking for specific examples of how you've used these tools in past projects, so don’t hold back on the details!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your relevant experiences and how they align with our mission at Amazon Science. Keep it engaging and personal!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re serious about joining our team!
How to prepare for a job interview at Amazon Science
✨Know Your Tech
Make sure you brush up on your machine learning concepts and tools like SQL and Python. Be ready to discuss specific projects where you've applied these skills, as this will show your practical experience and understanding of the technologies relevant to the role.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex data analysis problems in the past. Think of examples where you designed experiments or optimised AI technologies, and be ready to explain your thought process and the impact of your work.
✨Collaborate Like a Pro
Since the role involves working with engineers and scientists, highlight your teamwork experiences. Share stories that demonstrate your ability to collaborate effectively, communicate ideas clearly, and contribute to a positive team dynamic.
✨Understand the Customer Perspective
As the position focuses on improving customer experiences, think about how your work has directly impacted users. Be prepared to discuss how data-driven insights can enhance shopping experiences, and show your passion for making a difference through your work.
