Amazon EU SARL (UK Branch)

Data Science, Science, operations

DataScientist

£105–155k ~AI est. London, England, United Kingdom FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Scientist at Amazon EU SARL (UK Branch). Skills: Data Science, Optimization, Supply Chain. Design mathematical models. Develop mathematical models”

What You'll Achieve.

Maximize Customer Experience; Minimize cost; Minimize carbon footprint

Industry & Context.

Data Science, Science, operations
Problems you'll solve

Analytical skills

What They're Looking For.

Must Have

Experience with data scripting languages, Experience working as a Data Scientist, Experience with statistical models, Experience working with data engineers, Experience working with business intelligence engineers

Nice to Have

Experience with data visualization, Experience managing data pipelines, Experience as a leader, Experience as a mentor

What You'll Do.

Design mathematical models

Develop mathematical models

Optimize inventory placement

Optimize product flows

Design statistical models

Develop statistical models

Design optimization models

Develop optimization models

Plan Supply Chain under uncertainty

Manage high impact projects

Consult with stakeholders

Collaborate with stakeholders

Define opportunities to optimize Supply Chain

Communicate data-driven insights

Communicate recommendations

Improve explainability of optimization solutions

Drive engagement from supply chain planners

How You'll Work.

Team & Collaboration

Business and technical stakeholders; Data engineers; Business intelligence engineers

Communication Scope

Data-driven insights; Senior stakeholder presentations

Process & Methodology

Project management

Full Job Description

Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? We are looking for a Data Scientist who will be responsible to develop cutting-edge scientific solutions to optimize our fulfillment strategy across multiple regions of the world (EU, JP, IN and more), to maximize our Customer Experience and minimize our cost and carbon footprint. You will partner with the worldwide scientific community to help design the optimal fulfillment strategy for Amazon. You will also collaborate with technical teams to develop optimization tools for network flow planning and execution systems. Finally, you will also work with business and operational stakeholders to influence their strategy and gather inputs to solve problems. To be successful in the role, you will need deep analytical skills and a strong scientific background. The role also requires excellent communication skills, and an ability to influence across business functions at different levels. You will work in a fast-paced environment that requires you to be detail-oriented and comfortable in working with technical, business and technical teams. Key job responsibilities - Design and develop mathematical models to optimize inventory placement and product flows. - Design and develop statistical and optimization models for planning Supply Chain under uncertainty. - Manage several, high impact projects simultaneously. - Consult and collaborate with business and technical stakeholders across multiple teams to define new opportunities to optimize our Supply Chain. - Communicate data-driven insights and recommendations to diverse senior stakeholders through technical and/or business papers. - Leverage LLMs to improve explainability of our optimization solutions and drive engagement from supply chain planners across the world. Basic Qualifications: - Experience with data scripting

Free ATS check

Applying for this Data Scientist role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

ANONYMOUS · UNFILTERED

What do employees actually say about Amazon EU SARL (UK Branch)?

Real rants from real employees. Read before you apply.

Read Company Rants →