Data scientist Jobs in Werne

NOTE: This role is based at our DTM1 Fulfillment Center. Please note this is a warehouse/logistics environment. Due to the site's location and limited public transport connections, candidates with a valid driving licence and access to their own transport are strongly recommended.



There’s a universe of opportunity at Amazon.

At Amazon, your career doesn’t follow a straight line. It accelerates, twists, and challenges you in ways you never expected. From the moment you join, you’re part of something big: building products or services that reach millions and shaping how people live, work, and connect every day. This is where your ideas turn into real impact.
You’ll work with world class tools, global platforms, and systems built to operate at an extraordinary scale. You’ll move fast, experiment and launch solutions that matter. With endless opportunities to explore across teams and roles, you’ll learn quickly, apply what you know and discover skills you didn’t know existed. This is an environment
designed for builders who want to see the impact of their work in the world. Ready to start your adventure?


What’s in it for you?

An internship at Amazon means real responsibility from day one. You’ll build, test, and learn alongside people who want to see you succeed, while making an impact that reaches far beyond campus.

Key job responsibilities
Plan and implement continuous improvement initiatives designed to innovate the driver experience and make our processes more efficient

Use AI tools and data analytics to identify process inefficiencies, automate repetitive tasks, and prototype solutions

Analyse feedback and use data to own and implement process improvements at the site

Work with station management and other stakeholders to identify and solve process-related issues

Audit processes for compliance and work to close any gaps by supporting business decisions with analytics

A day in the life
As a Process Improvement Specialist, you will be at the forefront of making Amazon better – which means improving safety, productivity, and quality. Part of your role will involve running observations and audits to identify where processes could be enhanced. You will also use AI-powered tools to analyse data, generate insights, and accelerate the development of solutions — from automating reports to modelling the impact of process changes before implementation.



You will be based at one of our locations and accountable for positively influencing operational efficiency. If needed, you will carry out analysis at other local or national sites. On top of dealing with productivity and safety, you will have the opportunity to share best practices and ideas with our EU network. In this role, you will use data and AI to drive improvements and continue to grow our shipping capabilities.


About the team
Intern Community:
• As an Amazon Intern, you'll be part of a vibrant, supportive community that empowers your growth and development. You'll collaborate with interns from around the world, networking and participating in social events to broaden your perspectives. You can also join specialized groups focused on areas like sustainability to explore your diverse interests.
Support:
• The internship program provides a robust support system, including weekly intern office hours, dedicated IT and HR support, and a program team committed to your success. This ensures you have the guidance and assistance needed to thrive.
Learning Sessions:
• Exclusive learning sessions will further enhance your skills, granting you access to Amazon's cutting-edge learning platforms and the expertise of industry leaders. These structured development opportunities will prepare you for the next step in your career. Opportunities:
• Upon successful completion of the internship, you may be considered for a graduate role or a second internship, allowing you to continue your journey with Amazon. Additionally, you'll enjoy a competitive monthly salary, relocation support, and access to a range of employee benefits.
Internship Start Dates across the year:
• We are hiring interns to start on standardised dates from January through September.

BASIC QUALIFICATIONS

- Speak, write, and read fluently in English at C1 level or above
- Currently in your penultimate or final year and working towards a university degree in business, supply chain, transportation, economics or similar field
- Analytical skills with advanced level in Microsoft Excel (e.g., formulas, pivot tables, macros)
- Relevant fluency of communicating with a wide range of stakeholders, including your peers and leadership
- Eligible to complete a full-time internship lasting between 3 to 6 months.

PREFERRED QUALIFICATIONS

- Relevant understanding in using AI or digital tools to support analysis, automation, or problem-solving
- Understanding of Lean, Six Sigma, and Kaizen techniques
- Understanding of scripting tool such as Python or SQL would be advantageous
- Proficiency with supporting tools (e.g., Minitab, JMP, MS Excel, and MS Access)