Waters Corporation is Hiring Trainee Intern (Data Platforms & Analytics) | Bangalore

Job Description

Kickstart Your Career in Data Engineering, AI, and Machine Learning with a Global Life Sciences Technology Leader.

Waters Corporation is hiring Trainee Interns for its Global Capability Center (GCC) in Bangalore. This internship is an excellent opportunity for students and recent graduates who are passionate about Data Engineering, Artificial Intelligence, Machine Learning, Data Analytics, Generative AI, and modern cloud-based data platforms.

As a Data Platforms Intern, you'll work alongside experienced engineers on real-world data engineering and AI projects while gaining practical experience with Databricks, PySpark, SQL, Python, Machine Learning, Generative AI, and Agentic AI technologies. This role offers hands-on exposure to enterprise data platforms and modern analytics solutions used by a global technology leader.

𝐂𝐨𝐦𝐩𝐚𝐧𝐲 : Waters Corporation
𝐑𝐨𝐥𝐞 : Trainee Intern (Data Platforms & Analytics)
𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧 : Bangalore, India
𝐖𝐨𝐫𝐤 𝐌𝐨𝐝𝐞 : On-site
𝐉𝐨𝐛 𝐓𝐲𝐩𝐞 :Internship
𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 : Students / Freshers

𝐀𝐛𝐨𝐮𝐭 𝐖𝐚𝐭𝐞𝐫𝐬 𝐂𝐨𝐫𝐩𝐨𝐫𝐚𝐭𝐢𝐨𝐧

Waters Corporation is a global leader in analytical instruments, life sciences, diagnostics, and laboratory technologies. For decades, the company has been helping scientists, researchers, healthcare organizations, and manufacturers solve complex scientific challenges through innovative analytical solutions.

Operating in more than 100 countries, Waters develops cutting-edge technologies that support pharmaceutical research, clinical diagnostics, food safety, environmental testing, and scientific discovery.

With thousands of employees worldwide, the company continues to invest in Artificial Intelligence, Data Analytics, Cloud Technologies, and Digital Innovation to accelerate scientific breakthroughs and improve lives across the globe.

𝐉𝐨𝐛 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰

As a Trainee Intern in the Data Platforms & Analytics team, you will support real-world projects involving data engineering, AI, machine learning, and business intelligence.

You'll assist in building data pipelines, transforming datasets, supporting AI model development, and creating dashboards while learning enterprise technologies such as Databricks, PySpark, SQL, Power BI, Tableau, and cloud-based analytics platforms.

This internship provides an excellent opportunity to strengthen your technical skills while working on modern technologies including Generative AI, Large Language Models (LLMs), Agentic AI, vector databases, and machine learning workflows.

Roles & Responsibilities

- Assist in developing and maintaining enterprise data pipelines using Databricks, PySpark, and SQL.

- Support data engineering activities including data transformation, processing, and workflow automation.

- Contribute to the design, training, testing, and evaluation of Machine Learning and Artificial Intelligence models.

- Work on Generative AI use cases involving Large Language Models (LLMs) and intelligent automation.

- Support data visualization and reporting using Power BI or Tableau.

- Collaborate with data engineers to maintain data quality, consistency, and governance standards.

- Assist in building automation scripts that improve operational efficiency.

- Participate in workflow optimization and data platform enhancements.

- Support CI/CD pipelines for data engineering and machine learning projects whenever required.

- Collaborate with cross-functional teams to deliver scalable analytics solutions.

- Learn modern enterprise technologies and contribute to innovative AI-driven initiatives.

Qualifications & Eligibility

- Students currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Information Technology, Artificial Intelligence, or a related field.

- Fresh graduates are encouraged to apply.

- Basic knowledge of Python, PySpark, or SQL.

- Strong analytical thinking and problem-solving skills.

- Passion for learning Artificial Intelligence, Data Engineering, and Cloud Technologies.

- Good communication, collaboration, and organizational skills.

- Self-motivated learner with the ability to adapt to new technologies.

Skills Required

- Python

- PySpark

- SQL

- Data Engineering

- Data Analytics

- Machine Learning

- Artificial Intelligence

- Databricks

- Data Transformation

- Workflow Automation

- Problem Solving

- Analytical Thinking

- Team Collaboration

- Communication Skills

𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬

- Generative AI

- Large Language Models (LLMs)

- Vector Databases

- Embeddings

- Agentic AI

- AI Agents

- Power BI

- Tableau

- MLflow

- GitHub

- Azure DevOps

- CI/CD

- Darts

- StatsForecast

- Scikit-learn

- TensorFlow

- PyTorch

𝐖𝐡𝐲 𝐉𝐨𝐢𝐧 𝐖𝐚𝐭𝐞𝐫𝐬 𝐂𝐨𝐫𝐩𝐨𝐫𝐚𝐭𝐢𝐨𝐧?

- Gain real-world experience working on enterprise data engineering and AI projects.

- Learn industry-leading technologies including Databricks, PySpark, Machine Learning, and Generative AI.

- Work alongside experienced data engineers, AI specialists, and analytics professionals.

- Build practical skills in cloud-based data platforms and enterprise analytics.

- Gain exposure to modern AI technologies including LLMs, Agentic AI, and vector databases.

- Strengthen your technical, analytical, and problem-solving abilities through hands-on projects.

- Work for a globally recognized technology company driving innovation in life sciences and healthcare.

- Build a strong foundation for a successful career in Data Engineering, Artificial Intelligence, and Data Analytics.

𝐂𝐚𝐫𝐞𝐞𝐫 𝐆𝐫𝐨𝐰𝐭𝐡 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬

This internship provides an excellent starting point for building a successful career in Data Engineering, Artificial Intelligence, and Analytics.

Potential career paths include:

- Data Engineer

- Data Analyst

- Machine Learning Engineer

- AI Engineer

- Generative AI Engineer

- Data Scientist

- Business Intelligence Developer

- Cloud Data Engineer

- Analytics Engineer

- MLOps Engineer

- AI Platform Engineer

- Software Engineer (Data & AI)

The experience gained during this internship can help you build a long-term career in Data Engineering, Artificial Intelligence, Cloud Computing, Machine Learning, Business Intelligence, and Enterprise Analytics.

𝐖𝐡𝐨 𝐒𝐡𝐨𝐮𝐥𝐝 𝐀𝐩𝐩𝐥𝐲?

- Students pursuing Computer Science, Data Science, Engineering, or related technical degrees.

- Recent graduates looking to begin their career in Data Engineering or Artificial Intelligence.

- Candidates interested in Machine Learning, Generative AI, and enterprise data platforms.

- Individuals with knowledge of Python, SQL, or PySpark.

- Students passionate about solving data-driven problems using modern technologies.

- Candidates eager to work with Databricks, Power BI, Tableau, and cloud-based analytics platforms.

- Aspiring AI and Data professionals seeking hands-on industry experience with a globally recognized technology company