AI Data Scientist Intern

Philips
Shanghai
Workplace: OnsitePart timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Collaboration","Autonomy","Problem-solving","Cross-functional communication"]

Support AI model development by helping collect, clean, and annotate data, then develop and adapt algorithms for specific problems. Work on selecting data sources and features to ensure strong data integrity and quality for training, validation, and deployment. Implement tooling, frameworks, languages, and technologies to automate and scale results, collaborating cross-functionally throughout the AI model development process.

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FursaFursa
Philips
Philips
1 month ago

AI Data Scientist Intern

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 38 days agoStatus: Live
Reposted: similar role first listed 8 months ago

Job Summary

Support AI model development by helping collect, clean, and annotate data, then develop and adapt algorithms for specific problems. Work on selecting data sources and features to ensure strong data integrity and quality for training, validation, and deployment. Implement tooling, frameworks, languages, and technologies to automate and scale results, collaborating cross-functionally throughout the AI model development process.
Location: Shanghai
Workplace: Onsite
Employment Type: Part time
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Perform as a specialized data scientist following established procedures and practices.
  • •Develop AI solutions by creating new algorithms or significantly modifying existing ones.
  • •Support data collection, data cleaning, and data annotation.
  • •Implement tooling, algorithms, frameworks, languages, and technologies to automate and scale as needed.
  • •Ensure data integrity and data quality for model training, validation, and deployment; select optimal data sources and features.

Key Requirements

  • •Master’s or PhD in Computer Science or Biomedical Engineering (preferred).
  • •Support data collection, data cleaning, and data annotation for AI initiatives.
  • •Develop solutions using new algorithms or significantly modify existing algorithms as needed.
  • •Implement and apply appropriate tooling, algorithms, frameworks, languages, and technologies to maximize results.
  • •Ensure high data integrity and data quality for model training, validation, and deployment by selecting optimal data sources and features.
Experience:AIHealth technology
Education:Master's in Computer Science or Biomedical Engineering
Skills:CollaborationAutonomyProblem-solvingCross-functional communication

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