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Location:
Derry/Londonderry, GB
Job ID: 11020
About our group:
The Global Wafer Systems Group is a highly technical team responsible for the design, development, and deployment of systems for Seagate, with several locations in the US, Southeast Asia, India, China, the United Kingdom, and beyond. With a portfolio that includes Artificial Intelligence (AI)-powered solutions, Machine Learning (ML) algorithms, best in class visualizations, and rapid deployment, this team has won industry awards due to its innovation, best in class systems, and value delivery.
About the role - you will:
We have an exciting opportunity for a Machine Learning, Data Engineering or Computer Science Intern wishing to take on an 11-month placement, commencing on 1st September 2025 to join our Global Wafer Systems team in Springtown.
1. The intern will join our highly dynamic Global Wafer Systems team and will be expected to work in one of the following domains depending on skillset: Statistics, Deep-learning, Data Engineering, Computer Science or Software Development.
2. Developing state of the art machine learning models.
3. Deliver critical insights supporting automated decision making and root cause analysis.
4. Work on Image processing algorithms.
5. Translate machine learning algorithms into production-level code.
6. Perform data and feature engineering.
7. Build well-documented scalable RESTful APIs.
8. Work closely with a global team of Data Scientists to complete a research project to help shape the future of new data products.
About you:
1. Skilled in Python (knowledge of pandas, sklearn, matplotlib, numpy, jupyter notebooks. Optionally: tensorflow, pytorch).
2. SQL proficiency, basic understanding of database structures (experience with PostgreSQL is a plus).
3. Experience with classification and tree-based algorithms, among other supervised and unsupervised methodologies. Knowledge of regression, clustering or neural networks is a plus.
4. Any experience with web development frameworks is welcomed (Flask, Django, FastAPI, or similar).
5. Ability to effectively communicate technical concepts simply to different groups.
6. Ability to collaborate effectively across multiple teams and stakeholders, including analytics teams, development teams, product management and operations.
Your experience includes:
Completed applications should be submitted no later than midnight on Sunday, 19th January 2025.
This is a Full-Time position working 39 hours per week, on-site working. The placement dates are: Starting on Monday, 1st September 2025 and finishing Friday, 21st August 2026.
*Please note that you must be eligible to live and work in the UK without the requirement to be sponsored by Seagate.
Please demonstrate on your Cover Letter or CV how you meet the criteria set out in the job description identified above.
Location:
Springtown, Derry / Londonderry, Northern Ireland
Our Springtown site is Derry/Londonderry’s largest manufacturer, we’re proud that Seagate is a flexible and inclusive place to work. We have more than 1,400 employees spanning research and development, manufacturing, and many other functions.
Here at work, you can grab breakfast, lunch, dinner and snacks at our subsidized on-site cafe. Looking for an active break from your workday? We’ve got you covered.
Take a group or individual exercise class during lunch or after work at our on-site gym.
About Us
With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever-expanding data landscape.
We craft precision-engineered, cutting-edge solutions that help the world store and manage exponential data growth.
Seagate is powered by our talented, passionate, and diverse workforce of 29,000 employees across the globe who embody our core values: integrity, innovation, and inclusion. Striving towards excellence every single day, we show up with these values for our customers, business partners, shareholders, and communities alike.
Join us and get inspired to make a difference in the datasphere!
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