Intern

Job Description:

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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