Intern

Internship Opportunity: Data Science & Python Developer – Smart Lab Initiative

Location: Chennai (or Hybrid)
Duration: 3–6 months (flexible based on institute requirements)
Eligibility: Undergraduate / Postgraduate students

About the Role

We are seeking highly motivated interns to support our Smart Lab initiative, focused on applying data science and Python-based analytics to laboratory and pharmaceutical process data. This internship offers hands-on exposure to real-world problems at the intersection of chemical engineering, data science, and digital transformation in a regulated R&D environment.

The intern will work closely with scientists and data modelers to develop data-driven insights, automation scripts, and predictive models that enhance laboratory efficiency and decision-making.

Key Responsibilities

• Develop and maintain Python-based data analysis workflows for laboratory and process datasets

• Perform data cleaning, transformation, and exploratory analysis using NumPy and pandas

• Build and evaluate basic machine learning models (e.g., regression, classification) using scikit-learn

• Support development of predictive or descriptive models linked to lab operations and experimental data

• Create clear visualizations and summaries to communicate insights to technical stakeholders

• Document code, assumptions, and results in a reproducible and structured manner

• Collaborate with cross-functional teams including chemical engineers, scientists, and data analysts

Required Qualifications

• Strong Python programming skills, with hands-on experience using:

  • NumPy

  • pandas

  • scikit-learn

• Solid foundation in data science / machine learning concepts

• Academic background in Chemical Engineering, Data Science, or a closely related discipline

• Currently pursuing or recently completed a B.Tech / M.Tech / MS from premier institutes (e.g., IITs, IISc, NITs, or equivalent)

• Ability to work with experimental or process data and derive actionable insights

Preferred Skills (Nice to Have)

• Experience with data visualization libraries (e.g., matplotlib, seaborn)

• Familiarity with Jupyter notebooks and version control (Git)

• Basic understanding of pharmaceutical or chemical process data

• Exposure to statistics, process modeling, or optimization techniques

What You Will Gain

• Hands-on experience applying data science to real laboratory and manufacturing problems

• Opportunity to work in a Smart Lab / digitalization initiative within pharmaceutical R&D

• Mentorship from experienced scientists and data modelers

• Exposure to industry-standard practices in data analysis, documentation, and reproducibility

How to Apply

Interested candidates should submit:

• A brief CV

• A short note describing relevant Python/data science experience

• (Optional) GitHub or project portfolio links

  
Work Location Assignment: Hybrid

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

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