Internship Chance: 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 / digitaliza

📌 Intern (Chennai)
🏢 Pfizer
📍 Chennai