EntryFull TimeInternshipEN
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
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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