INTERNSHIP DETAILS

Data Science Intern

CompanySeagate Technology
LocationSingapore
Work ModeOn Site
PostedApril 29, 2026
Internship Information
Core Responsibilities
The intern will assist in data analysis, machine learning model development, and generating actionable insights to support business objectives within the Data Science team. Responsibilities include data collection, cleaning, exploratory analysis, and creating visualizations to communicate findings.
Internship Type
full time
Company Size
16572
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Seagate is a leader in mass-capacity data storage. We’ve delivered more than four and a half billion terabytes of capacity over the past four decades. We make storage that scales, bringing trust and integrity to innovations that depend on data. In an era of unprecedented creation, Seagate stores infinite potential. Unlock the full value of your data today.
About the Role

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

Key Skills
Data AnalysisModel DevelopmentMachine LearningData CollectionData CleaningData PreprocessingExploratory Data AnalysisPythonScikit-learnTensorFlowData VisualizationCommunicationProblem-SolvingTeamwork
Categories
Data & AnalyticsScience & ResearchSoftwareEngineering