Chemical Engineering Internship at Pfizer | Smart Lab Data Science & Python Opportunity in Chennai
Looking for an exciting Pfizer careers opportunity? This Chemical Engineering Internship offers students a chance to work on real-world Smart Lab projects involving Python, machine learning, and laboratory analytics in pharmaceutical R&D. Based in Chennai, this internship combines chemical engineering with digital transformation, giving students hands-on exposure to data-driven innovation, predictive modeling, and advanced laboratory workflows in a professional research environment.
About the Company:
Pfizer is one of the world’s leading pharmaceutical companies known for innovation, research excellence, and global healthcare solutions. Through its Smart Lab initiative, Pfizer is integrating digital technologies, data science, and automation into pharmaceutical research and manufacturing. The company provides students and young professionals with valuable industry exposure, mentorship from experienced scientists, and opportunities to work on impactful projects that improve laboratory operations and scientific decision-making.
Job Overview:
The Chemical Engineering Internship under the Smart Lab initiative is designed for undergraduate and postgraduate students interested in pharmaceutical R&D, data analytics, and Python-based laboratory solutions. Interns will work with scientists and data modelers to analyze laboratory and process datasets, develop predictive models, and improve research efficiency through automation and analytics. The role
includes hands-on work with Python tools such as NumPy, pandas, and scikit-learn while contributing to digital transformation projects within a regulated research environment. The internship is located in Chennai with hybrid flexibility and offers a duration of 3–6 months depending on institute requirements.Internship Opportunity: Data Science & Python Developer – Smart Lab Initiative
- Location: India – Chennai (or Hybrid)
- Duration: 3–6 months (flexible based on institute requirements)
- Eligibility: Undergraduate / Postgraduate students
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
This Chemical Engineering Internship at Pfizer careers is an excellent opportunity for students who want to combine chemical engineering with modern data science applications in pharmaceutical research. Interns will gain practical industry exposure, work alongside experienced scientists, and develop valuable technical skills that are highly relevant in today’s digital pharmaceutical landscape. Students interested in Smart Lab technologies and innovation-driven research should not miss this opportunity.
