Data Scientist – TSMS

Recruise; Hyderabad; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

Recruise is seeking a Data Scientist – TSMS in Hyderabad to design and deploy advanced analytics for pharmaceutical manufacturing, focusing on real-time monitoring, anomaly detection and process optimization. You will work with Python or R, multivariate models, and integrate data from GMP-compliant sources.

The role requires 6+ years in pharma data science, experience with PCA/PLS, Seeq, Power BI/Tableau, and cloud platforms (Azure or AWS). Travel 10-20% and collaboration across global teams.

Qualifications

• Pharma/life sciences data science experience.
• Proficient in Python or R for modelling.
• Strong statistical and machine-learning modelling skills.
• Experience with PCA/PLS and multivariate analysis.
• Familiarity with GMP, data integrity and regulatory compliance.
• Experience with data integration and data quality.
• Proficient in Power BI or Tableau.
• Background in manufacturing processes.
• Cloud platforms (Azure or AWS) and data pipelines.
• Exposure to Seeq/Smartsheet/PLM/MES/LIMS/ERP tools.

Responsibilities

• Build and deploy advanced analytics and predictive models for pharmaceutical manufacturing.
• Enable real-time process monitoring and anomaly detection.
• Drive process optimization and data integration across systems.
• Ensure GMP-compliant analytics solutions and data governance.
• Collaborate with cross-functional teams globally; occasional night/weekend support.

Skills

Python

R

Statistical modelling

Machine learning

PCA/PLS

GMP/regulatory context

Data integration

Data quality

Manufacturing background

Education

Master’s or Ph.D. in Data Science/Statistics/Engineering

Tools

Power BI

Tableau

Seeq

Smartsheet

Azure

AWS

APIs

Data pipelines

Job description

Data Scientist – TSMS

6+ years

Data Scientist to build and deploy advanced analytics and predictive models for pharmaceutical manufacturing. The role focuses on real-time process monitoring, anomaly detection, process optimization, data integration and GMP-compliant digital solutions.

Pharma/life sciences data science experience; Python or R; statistical and machine-learning modelling; multivariate analysis using PCA/PLS; SIMCA or JMP; predictive analytics; manufacturing/process monitoring; GMP, data integrity and regulatory compliance; data integration and quality; Power BI or Tableau; strong manufacturing background

Seeq; Smartsheet; PLM/MES/LIMS/ERP exposure; Azure or AWS; data pipelines and APIs;analytics product deployment and automation.

Master’s or Ph.D. in Data Science, Statistics, Engineering or a related field.

Prefer candidates from pharmaceutical manufacturing, TSMS, process development, R&D or a similar scientific/GMP-regulated environment.

Hyderabad-based role; 10–20% travel; occasional night/weekend support for global 24/7 operations.