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PhD Internship - Data Science and Machine Learning

The Programme

Operations & Technology Advanced Analytics Group (OTAAG) works for initiative helping our internal customers turns the data they have into the information they need to develop and deliver industry-leading storage solutions. 

What You Will Do

  • Focus on Seagate advanced analytics projects related to Machine Learning (ML).
  • Develop data mining algorithms, perform data wrangling and exploration.
  • Design, develop and implement appropriate machine learning and deep learning algorithms to solve stakeholders' analytics challenges.
  • Deliver advanced analytics solutions - web crawling, natural language processing, text analytics, visualization, and dashboard creation. Apply CNN, GAN, RNN, Time Series Analysis, XGBoost, Keras, Tensorflow to provide predictive analytics solutions and extract actionable insights.
  • You will design and develop an automated system to support long-term data management for factory’s AI/ML servers, e.g., auto-health checking of project data pipelines, auto-alerting stakeholders to clean up some unnecessary data/metadata, auto-transferring cold data to low-cost storage, risk management. 

Required Skills and Abilities

  • Teamwork and self-motivation.
  • Fast learning capability.
  • Strong oral and written communication skills.
  • Ability to drive initiatives and influence.
  • Ability to work alone as well as in a team environment.
  • A collaborative attitude and a global mindset with an ability to work well with native and non-native English speakers.
  • Able to participate in conference calls outside of regular local work hours. 

Your experience includes:

  • Pursuing a PhD degree in Computer science, Computer Engineering, Software Engineering, Electrical engineering, Data Science or other related areas.
  • Proficient in Python and SQL.
  • Good technical knowledge in machine learning, deep learning, data mining.
  • Good to have working knowledge in either of the following - Keras, Tensorflow, XGBoost, CNN, GAN, RNN, and Time Series Analysis.
  • Hands on working experience in data mining, data wrangling, and experience with handling JSON, CSV files.
  • Thesis or research experience in topics related to natural language processing, artificial intelligence, and machine learning would be a plus.
  • Hands on working experience with Docker, Kubernetes, CI/CD would be a plus. 
Closed 8 months ago
Closed 8 months ago
  • Job type:Internships
  • Disciplines:

    Computer Science, Data Science and Analytics,

  • Citizenships:

  • Locations:


  • Closing Date:14th Dec 2021, 6:00 pm


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