Data Scientist Intern

Philips
Taipei
Workplace: OnsitePart timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Troubleshooting"]

Collaborate on AI DevOps activities to streamline the end-to-end flow of AI development, testing, inference, deployment, and monitoring. Work with teammates and stakeholders to gather requirements, contribute to designs and code reviews, and ensure solution quality through validation and verification. Integrate deployable ML models into end products, perform data cleansing and statistical fine-tuning, and support robust deployment pipelines under direct supervision.

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FursaFursa
Philips
Philips
2 months ago

Data Scientist Intern

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 31 days agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Collaborate on AI DevOps activities to streamline the end-to-end flow of AI development, testing, inference, deployment, and monitoring. Work with teammates and stakeholders to gather requirements, contribute to designs and code reviews, and ensure solution quality through validation and verification. Integrate deployable ML models into end products, perform data cleansing and statistical fine-tuning, and support robust deployment pipelines under direct supervision.
Location: Taipei
Workplace: Onsite
Employment Type: Part time
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Collaborate on AI DevOps activities across development, testing, inference, deployment, and monitoring.
  • •Integrate deployable ML models into end products while ensuring compatibility, performance, and reliability.
  • •Handle data cleansing, validation, and verification to improve data quality for analysis and training.
  • •Train and retrain AI systems to adapt to changing data distributions and performance objectives.
  • •Perform statistical analysis, hypothesis testing, and fine-tuning to validate assumptions and optimize model parameters.

Key Requirements

  • •Pursuing a Master or PhD in Biomedical Engineering, Computer Science, Information Management, Data Science, Artificial Intelligence, Applied Mathematics, Statistics, or an equivalent field.
  • •Experience with data processing, data analytics, and/or AI modeling.
  • •Proficiency with programming languages such as Python, R, Java, and C/C++.
  • •Experience using statistical analysis and validation techniques to support model tuning.
  • •Ability to contribute to data cleansing, validation, and verification to ensure data integrity for model training.
Experience:Data processingData analyticsAI modeling
Education:Master's in Biomedical Engineer, Computer Science, Information Management, Data Science, Artificial Intelligence, Applied Mathematics, Statistics
Skills:Troubleshooting
Certifications:Artificial Intelligence Board of America (ARTiBA)
Tech Stack:PythonRJavaC/C++DevOpsLLM deploymentAIData governanceAI Algorithm Development

Company Brief

Philips
Global health technology company focusing on diagnostic imaging, patient monitoring, and consumer health products. Philips develops medical devices, healthcare informatics, and solutions to improve patient care and personal well-being.
Industry: HealthTech
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Amsterdam, Netherlands
Founded: 1891
Glassdoor
Glassdoor: 3.8
WebsiteLinkedIn