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. Support Services