Amazon Development Centre (London) Limited
Technology
AppliedScientist,PrimeVideoCommerceInsights
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Applied Scientist, Prime Video Commerce Insights at Amazon Development Centre (London) Limited. Skills: Machine Learning, Personalisation, Causal inference, Behavioural modelling. Research recommendation systems. Design recommendation systems”
What You'll Achieve.
Personalise commerce journey; Understand customer behaviour at scale; Make better decisions faster; Improve customer experience; Serve low-latency recommendations; Demonstrate technical efficacy; Demonstrate business value; Raise profile of Prime Video Commerce; Move metrics that matter
Industry & Context.
Solve problems; Business challenges; Product challenges; Technical challenges
What They're Looking For.
Must Have
Experience programming in Java, C++, Python or related language, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing, Experience in building machine learning models for business application, Experience in patents or publications at top-tier peer-reviewed conferences or journals
Nice to Have
Experience using Unix/Linux, PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Research recommendation systems
Design recommendation systems
Implement recommendation systems
Deploy model experiment results
Integrate model experiment results
Provide ML thought leadership
Define science roadmap
Define research agenda
Work backwards from customer needs
Deliver machine-backed solutions
How You'll Work.
Team & Collaboration
Multidisciplinary group; Science and engineering team; Cross-functional teams
Communication Scope
Thought leadership; Authoring documents
Full Job Description
Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies — all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business — available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on. Prime Video Commerce's mission is to present the right offer to the right customer at the right time — across subscriptions, channels, and transactional video in every market and on every device. Our science team replaces static business rules with ML-driven decisions that personalise the entire commerce journey, from discovery through to checkout and beyond. We operate at scale across hundreds of millions of customers, and we are now expanding into new frontiers — combining the latest advances in agentic and generative AI, behavioural simulation, and causal inference to understand the impact of our decisions before they reach customers. We are looking for an Applied Scientist to join the Prime Video Commerce Insights team who will work on the latest research and machine learning to build scalable personalisation solutions. 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 hands-on role wor
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