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About Company
Waters Corporation is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, our innovative portfolio harnesses deep scientific expertise across chemistry, physics, and biology. We collaborate with customers around the world to advance the release of effective, high-quality medicines, ensure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combating antibiotic resistance. Through a shared culture of relentless innovation, our passionate team of ~16,000 colleagues turn scientific challenges into breakthroughs that improve lives worldwide.
Role Overview
As a Data Platforms Intern, you will work closely with the Data Platforms & Analytics team to support real-world data engineering and machine learning projects. This is an excellent opportunity to gain hands-on experience with Databricks, AI/ML frameworks, and emerging GenAI and Agentic AI technologies
Responsibilities
- Assist in developing and maintaining data pipelines using Databricks (PySpark/SQL).
- Support the design, training, and evaluation of AI/ML models, including Generative AI use cases.
- Contribute to automation scripts, data transformations, and workflow optimization.
- Create or support dashboards and visualizations using Power BI/Tableau (preferred).
- Collaborate with engineers to maintain high-quality data standards.
- (Nice to Have) Support CI/CD pipelines for data and ML workflows.
Qualifications
- Knowledge of Python, PySpark, or SQL.
- Curiosity or experience in Generative AI (LLMs, embeddings, vector stores).
- Awareness of Agentic AI concepts (AI agents, tool orchestration) is a plus.
- Familiarity with BI/reporting tools such as Power BI or Tableau (preferred).
- Bonus: Exposure to Darts, Stats Forecast, ML-Flow, GitHub, Azure DevOps, or CI/CD workflows.
- (Nice to have) Basic understanding of Machine Learning concepts and frameworks like scikit‑learn, TensorFlow, or PyTorch.
- Students currently pursuing or recently graduated with a degree in Computer Science, Data Science, Engineering, or related fields.
- Strong analytical and problem‑solving skills.
- Self‑starter with a passion for learning new technologies.
- Good communication, organization, and teamwork abilities.
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