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Seagate

Data Science Intern

Shugart, SG

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

What you’ll bring

All qualifications

Core experience

  • Proficiency in programming languages such as Python.
  • Excellent communication and presentation skills, with the ability to convey complex concepts to diverse audiences.
  • Ability to work collaboratively in a team environment and manage multiple tasks simultaneously.

Preferred experience

  • Familiarity with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow) is a plus.
  • Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
Qualification wording
Proficiency in programming languages such as Python.
Excellent communication and presentation skills, with the ability to convey complex concepts to diverse audiences.
Ability to work collaboratively in a team environment and manage multiple tasks simultaneously.
Familiarity with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow) is a plus.
Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.

Tools in this posting

  • Tableau
  • TensorFlow
  • Python
  • Power BI
  • scikit-learn
Source — Tool mentions in context
- Excellent communication and presentation skills, with the ability to convey complex concepts to diverse audiences. - Experience with data visualization tools (e.g., Tableau, Power BI) is a plus. - Ability to work collaboratively in a team environment and manage multiple tasks simultaneously.
- Proficiency in programming languages such as Python. - Familiarity with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow) is a plus. - Strong analytical and problem-solving skills, with the ability to work with large and complex datasets.
- Basic understanding of data science principles and machine learning concepts. - Proficiency in programming languages such as Python. - Familiarity with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow) is a plus.

About Seagate

Our mission is to leverage AI and Machine Learning technologies to accelerate product development, ensuring that we meet production volume and reliability standards.

In the employer’s words · Read in context

Job description

View original posting ↗

About our group:

The Data Science and Tools Development team is at the forefront of AI Transformation within Seagate's Product Development Group. Our mission is to leverage AI and Machine Learning technologies to accelerate product development, ensuring that we meet production volume and reliability standards. By utilizing AI/ML, we enhance our research capabilities and drive continuous innovation. 

About the role - you will:

We are seeking a motivated and enthusiastic Data Science Intern to join our dynamic team. This internship offers a unique opportunity to gain hands-on experience in data science, working alongside experienced professionals on real-world projects. As a Data Science Intern, you will assist in data analysis, model development, and the generation of actionable insights that support business objectives.

About you:

  • Assist in the collection, cleaning, and preprocessing of large datasets from various sources. 
  • Conduct exploratory data analysis to identify trends, patterns, and anomalies. 
  • Develop and implement basic machine learning models and algorithms under the guidance of senior data scientists. 
  • Create data visualizations and reports to communicate findings to both technical and non-technical stakeholders. 
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions. 
  • Participate in team meetings, brainstorming sessions, and continuous learning activities. 

Your experience includes:

  • Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. 
  • Basic understanding of data science principles and machine learning concepts. 
  • Proficiency in programming languages such as Python. 
  • Familiarity with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow) is a plus. 
  • Strong analytical and problem-solving skills, with the ability to work with large and complex datasets. 
  • Excellent communication and presentation skills, with the ability to convey complex concepts to diverse audiences. 
  • Experience with data visualization tools (e.g., Tableau, Power BI) is a plus. 
  • Ability to work collaboratively in a team environment and manage multiple tasks simultaneously. 

Location:

The Shugart site (named after Seagate’s founder, Al Shugart) is a research and design center. Easily accessible from the One-North MRT Station, many employees choose to take mass transportation to work. Being a purpose-built building, The Shugart has excellent employee recreational facilities. Take an active break at our badminton courts, table tennis tables, in-house gym, and recreation rooms. Our yoga and Zumba classes are very popular. We also offer classes and interest groups in photography, gardening, and foreign languages, and have various on-site celebrations, and community volunteer opportunities.

 

Location: Shugart, Singapore
Travel: None

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Pay

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Location & working pattern

Shugart, SG

Location: The Shugart site (named after Seagate’s founder, Al Shugart) is a research and design center. Easily accessible from the One-North MRT Station, many employees choose to take mass transportation to work. Being a purpose-built building, The Shugart has excellent employee recreational facilities. Take an active break at our badminton courts, table tennis tables, in-house gym, and recreation rooms. Our yoga and Zumba classes are very popular. We also offer classes and interest groups in photography, gardening, and foreign languages, and have various on-site celebrations, and community volunteer opportunities. Location: Shugart, Singapore
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Status in our records
Unknown — awaiting fresh evidence
First seen by us
Aug 31, 2026
Recorded sightings
17
Last seen by us
Sep 10, 2026

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