Pay: Salary not listed in the saved posting
Work setup: Unconfirmed
Employment: Unconfirmed

Apply at Seagate Technology

What you’ll bring

All qualifications

Core experience

Proven ability to drive initiatives and influence key outcomes
Bachelor’s degree or higher in Data Science, Statistics, Computer Engineering, or a related field
Proficient in Python for model development with some experience in libraries (Polar, Scikit-learn), deep learning frameworks (PyTorch), hyperparameter tuning (Optuna), causal AI (DoWhy, PyMC), optimization and simulation (SciPy, Google OR-Tools, Evolutionary Algorithms, Mesa), GenAI-based complex reasoning (OctoTools) and evolutionary coding agents (OpenEvolve)
Proficiency in English for writing, speaking, and presentations

Qualification wording

Proven ability to drive initiatives and influence key outcomes

Bachelor’s degree or higher in Data Science, Statistics, Computer Engineering, or a related field

Proficient in Python for model development with some experience in libraries (Polar, Scikit-learn), deep learning frameworks (PyTorch), hyperparameter tuning (Optuna), causal AI (DoWhy, PyMC), optimization and simulation (SciPy, Google OR-Tools, Evolutionary Algorithms, Mesa), GenAI-based complex reasoning (OctoTools) and evolutionary coding agents (OpenEvolve)

Proficiency in English for writing, speaking, and presentations

Tools in this posting

Python
PyTorch
Scipy
scikit-learn

Source

- Apply advanced data science techniques—including time series foundation models for machine sensor AD problems, causal AI for RCA problems, and AI-driven optimization and reasoning of actionable parameters—to accurately model manufacturing behavior and enable data driven, resilient operational decision making - Design and implement scalable data and AI systems for large‑scale manufacturing datasets, leveraging Python, advanced AI/ML modeling, and enterprise analytics platforms to deliver reliable, production‑ready insights in real operating environments About you:

- Substantial experience in AI/ML technologies applied to industrial use cases, including projects involving tabular data, time series data, and computer vision, in order of importance - Proficient in Python for model development with some experience in libraries (Polar, Scikit-learn), deep learning frameworks (PyTorch), hyperparameter tuning (Optuna), causal AI (DoWhy, PyMC), optimization and simulation (SciPy, Google OR-Tools, Evolutionary Algorithms, Mesa), GenAI-based complex reasoning (OctoTools) and evolutionary coding agents (OpenEvolve) - Proficiency in English for writing, speaking, and presentations

About Seagate Technology

The Global Operational Intelligence Group transforms data into actionable insights to support factory operations in delivering industry-leading hard disk drive solutions.

In the employer’s words · Read in context

Job description

View original posting ↗

About our group:

The Global Operational Intelligence Group transforms data into actionable insights to support factory operations in delivering industry-leading hard disk drive solutions. We aim to drive Seagate factory’s digitalization and intelligence by leveraging advanced analytics, machine learning (ML), and artificial intelligence (AI) to optimize operations and unlock new business value.

About the role - you will:

Work closely with data scientist mentors to formulate business and engineering challenges as well‑defined AI problems, developing anomaly detection (AD) and root cause analysis (RCA) solutions for complex manufacturing processes and capacity planning controls
Apply advanced data science techniques—including time series foundation models for machine sensor AD problems, causal AI for RCA problems, and AI-driven optimization and reasoning of actionable parameters—to accurately model manufacturing behavior and enable data driven, resilient operational decision making
Design and implement scalable data and AI systems for large‑scale manufacturing datasets, leveraging Python, advanced AI/ML modeling, and enterprise analytics platforms to deliver reliable, production‑ready insights in real operating environments

About you:

Passionate about AI/ML technology with a focus on delivering practical business value
Collaborative, adaptable, and effective in team environments
Proven ability to drive initiatives and influence key outcomes
Strong problem-solving mindset, with organizational and time management skills

Your experience includes:

Bachelor’s degree or higher in Data Science, Statistics, Computer Engineering, or a related field
Substantial experience in AI/ML technologies applied to industrial use cases, including projects involving tabular data, time series data, and computer vision, in order of importance
Proficient in Python for model development with some experience in libraries (Polar, Scikit-learn), deep learning frameworks (PyTorch), hyperparameter tuning (Optuna), causal AI (DoWhy, PyMC), optimization and simulation (SciPy, Google OR-Tools, Evolutionary Algorithms, Mesa), GenAI-based complex reasoning (OctoTools) and evolutionary coding agents (OpenEvolve)
Proficiency in English for writing, speaking, and presentations

Location:

Korat, Thailand

Our Korat facility is our largest manufacturing site worldwide, Here, our team produces cloud-based storage equipment, from individual storage components to finished drives. Employees enjoy ample on-site parking, free shuttle vans and buses within the city of Korat, as well as transportation to and from Bangkok and Khon Kaen province on weekends. At work, you can grab a delicious breakfast, lunch, dinner, or snacks at one of our 24/7 on-site canteens or coffee shops. We offer table tennis, basketball, volleyball, a running/walking trail, and exercise classes in our on-site fitness center. In addition, there are relaxing spaces with comfortable seating both indoors and outdoors, perfect for taking a break during the day.

Additionally, consider joining any of our employee resource groups (ERGs), such as Seagate Women in Leadership Network (SWLN), Seagate PRIDE: Thailand chapter, or Seagate Asia’s parents and caregivers group. We also have many on-site recreation events and opportunities to give back to the local community.

Location: Korat Thailand
Travel: None

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

Complete your application on seagatecareers.com. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay: No pay amount identified in the saved description.
Location & working pattern: Nakhon Ratchasima, TH
Korat, Thailand Our Korat facility is our largest manufacturing site worldwide, Here, our team produces cloud-based storage equipment, from individual storage components to finished drives. Employees enjoy ample on-site parking, free shuttle vans and buses within the city of Korat, as well as transportation to and from Bangkok and Khon Kaen province on weekends. At work, you can grab a delicious breakfast, lunch, dinner, or snacks at one of our 24/7 on-site canteens or coffee shops. We offer table tennis, basketball, volleyball, a running/walking trail, and exercise classes in our on-site fitness center. In addition, there are relaxing spaces with comfortable seating both indoors and outdoors, perfect for taking a break during the day. Additionally, consider joining any of our employee resource groups (ERGs), such as Seagate Women in Leadership Network (SWLN), Seagate PRIDE: Thailand chapter, or Seagate Asia’s parents and caregivers group. We also have many on-site recreation events and opportunities to give back to the local community. Location: Korat Thailand
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at seagatecareers.com ↗Read the full description ↓

Status in our records: Active
First seen by us: Aug 5, 2026
Recorded sightings: 257
Last seen by us: Oct 9, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Report an error

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Upload resume Add LinkedIn

Data Science & AI Intern