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

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 - 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

- 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 chance employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

Support Services

📌 Intern (Chennai)
🏢 Pfizer
📍 Chennai