Data Scientist Intern

About the role

This internship offers hands‑on experience in AI DevOps and data science within a collaborative engineering team. You will work under direct supervision to integrate machine‑learning models into production, ensure data quality, and support continuous improvement of AI solutions.

Key responsibilities

• Assist in AI DevOps pipelines covering development, testing, inference, deployment, and monitoring.
• Integrate machine‑learning models into end‑products, verifying performance and reliability.
• Perform data cleansing, validation, and verification to maintain high‑quality datasets.
• Train, retrain, and fine‑tune AI models based on changing data distributions and business needs.
• Conduct statistical analysis, hypothesis testing, and model validation.
• Participate in design discussions, code reviews, and quality‑assurance activities.
• Collaborate with business, market, and IT stakeholders to define clear AI requirements.

Required profile

• Master’s or PhD candidate in Biomedical Engineering, Computer Science, Data Science, AI, Applied Mathematics, Statistics or a related field.
• Experience with data processing, analytics, or AI modeling.
• Familiarity with programming languages such as Python, R, Java, or C/C++.
• Preferred certification: Artificial Intelligence Board of America (ARTiBA).

Required skills

• Python
• R
• Java
• C/C++
• Data analytics
• Statistical methods
• Data harmonization & processing
• AI scripting & automation
• AI algorithm development
• DevOps
• Data governance
• LLM deployment