Pfizer Hiring Data Science & AI Interns | Mumbai | Freshers Opportunity

Pfizer Hiring Data Science & AI Interns | Mumbai | Freshers Opportunity
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Pfizer Hiring Data Science & AI Interns | Mumbai | Freshers Opportunity

🏢 Pfizer
📍 Mumbai
🎓 B.E. / B.Tech / M.Tech (CS, IT, ECE, Data Science, AI)
💼 Freshers (Internship)

Pfizer has announced two exciting internship opportunities in Mumbai for students and aspiring professionals looking to build careers in Artificial Intelligence, Machine Learning, Data Science, Python Development, and Digital Transformation. These internships provide hands-on exposure to real-world healthcare AI applications, enabling interns to work alongside experienced data scientists, AI engineers, and product teams at one of the world's leading pharmaceutical companies.

To prepare your logic, analytical thinking, and programming fundamentals for these roles, you can test your knowledge with our online Logical Reasoning Aptitude Quiz. For those interested in how computational data science applies to different corporate verticals, check out our resource on mastering your data analyst interview to practice database and data preparation fundamentals.

📋 Job Overview

Particulars Details
Positions Open 1. Intern – Data Science & AI
2. Intern – AI Acceleration (AIA)
Company Pfizer
Location Mumbai, Maharashtra, India (On-Premise)
Qualifications B.E. / B.Tech / M.Tech or related Engineering/Computer Science disciplines
Experience Required Freshers (Current Students Eligible)
Internship Duration 3 – 6 Months (Full-Time, 40 Hours/Week for AIA)
Expected Stipend ₹35,000 – ₹60,000 per month (Estimated)

For individuals looking to understand technical integrations in health operations, refer to our analysis on Healthcare IT vs Clinical Healthcare. Additionally, read our step-by-step instructions on how to apply for healthcare and pharma jobs online for guidance on submitting workday applications successfully.

📂 Available Positions & Responsibilities

1. Intern – Data Science & AI

The Data Science & AI Intern will support Pfizer’s Global Supply division by contributing to administrative operations, digital initiatives, analytics, process improvements, and AI-enabled productivity projects.

  • Support administrative and operational activities.
  • Coordinate business process improvements.
  • Assist with digital marketing campaigns and monitor performance using KPIs.
  • Prepare reports and analytical insights.
  • Maintain documentation and compliance records.
  • Utilize AI tools like ChatGPT and Microsoft Copilot responsibly.

2. Intern – AI Acceleration (AIA)

Pfizer’s AI Acceleration (AIA) team develops enterprise-grade AI products supporting Commercial, Marketing, and Field Operations. Interns will build production-level AI applications using modern LLM technologies.

  • Develop Python modules and support LLM workflows.
  • Build prompt engineering utilities and create evaluation datasets.
  • Work with Langfuse, OpenTelemetry, and implement REST APIs.
  • Debug AI systems, perform logging and tracing, and write documentation.
  • Participate in Agile development and contribute to Git-based code reviews.

🎓 Eligibility Criteria

For Data Science & AI Intern:

  • High School Diploma/GED with relevant commercial/marketing operation experience.
  • Strong communication, organizational, and time management skills with attention to detail.
  • Familiarity with AI productivity tools (ChatGPT, Microsoft Copilot) and business analytics.

For AI Acceleration (AIA) Intern:

  • Currently pursuing B.E., B.Tech, or M.Tech in Computer Science, Information Technology, Electronics & Communication, Data Science, Artificial Intelligence, or related engineering disciplines.
  • Strong knowledge of Python Programming, Data Structures, OOPs, and Git.
  • Understanding of REST APIs, JSON, HTTP, and Machine Learning Fundamentals.

🧠 Preferred Skills

  • AI Frameworks: Exposure to LangChain, LangGraph, OpenAI APIs, and Prompt Engineering.
  • ML Ops & Observability: Familiarity with Langfuse, OpenTelemetry, Docker, AWS, Azure, or GCP.
  • Databases & Tools: SQL query structure, Postman for API testing.

📑 Resume Tips for Pfizer Internship

  • Emphasize Python & AI tools: Highlight projects where you used Python, LangChain, prompt engineering, or built LLM utilities.
  • Feature College Projects: Add hackathons, chatbot developments, or machine learning models you worked on during coursework.
  • Mention Tools & APIs: Explicitly list Git, REST APIs, JSON, and cloud technologies (AWS/Azure/GCP) on your CV.

🎯 Top AI & Data Science Interview Questions

  • What is the difference between LangChain and LangGraph?
    LangChain is a framework for building LLM applications by chaining components. LangGraph extends this by allowing cyclic graphs to be created, enabling multi-agent architectures and complex stateful flows.
  • What are REST APIs and how does a client communicate using them?
    REST APIs allow systems to exchange data over HTTP. The client makes a request (using methods like GET, POST, PUT, DELETE) with structured formats like JSON, and the server returns a response with status codes (e.g., 200 OK, 404 Not Found).
  • What is prompt engineering and how do you prevent prompt injection?
    Prompt engineering is the design of inputs to get optimal outputs from LLMs. To prevent prompt injection, developer tools enforce system instructions, structure inputs in XML tags, or validate user inputs through intermediary models.

📌 How to Apply?

Interested and eligible candidates can submit their applications online directly on Pfizer's Workday portal by clicking on the respective direct links below:

❓ Frequently Asked Questions

Q. What is the expected stipend for Pfizer interns?
Based on similar programs, the expected monthly stipend ranges between ₹35,000 – ₹60,000 per month depending on qualifications.

Q. What is the duration of the AI Acceleration internship?
The duration of the AIA internship is 3 to 6 months, requiring a full-time commitment (40 hours per week).

Q. What is the work mode and location?
The internships are based in Mumbai, Maharashtra, India, and require on-premise (office) work.

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