At a Glance
- Tasks: Develop and deploy models to enhance customer experience on Prime Video.
- Company: Join Amazon's innovative team in London, focused on insights and personalisation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a high-visibility group with exciting challenges and career advancement.
- Why this job: Make a real impact on customer behaviour and decision-making at scale.
- Qualifications: Experience in applied science and a passion for data-driven insights.
The predicted salary is between 63000 - 77000 £ per year.
Amazon Development Centre (London) Limited in London is seeking an Applied Scientist to join the Prime Video Commerce Insights team. You will develop and deploy customer-facing models, understand customer behaviour at scale, and explore emerging techniques that help us make better decisions faster.
This is a delivery-focused role within a high-visibility group of engineers and scientists, aimed at improving the customer experience for Prime Video, balancing business and technical constraints.
Applied Scientist, Commerce Insights & Personalization employer: Prime Video & Amazon MGM Studios
Amazon Development Centre (London) Limited is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those looking to make a significant impact in the digital subscription space. With a strong emphasis on employee growth, you will have access to numerous development opportunities and the chance to collaborate with diverse teams in a vibrant city like London, making it an ideal location for career advancement and meaningful contributions.
Contact Details:
Prime Video & Amazon MGM Studios Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Applied Scientist, Commerce Insights & Personalization
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Prime Video & Amazon MGM Studios!
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We think you need these skills to ace Applied Scientist, Commerce Insights & Personalization
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Prime Video & Amazon MGM Studios, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Prime Video & Amazon MGM Studios. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Prime Video & Amazon MGM Studios
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Prime Video & Amazon MGM Studios!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
