Data Scientist

About the role

You will transform complex operational data into actionable intelligence that improves product quality, food safety, manufacturing performance, and supply chain resilience. Working closely with cross-functional teams, you will support initiatives ranging from quality risk prediction and audit readiness to predictive maintenance and process optimization.

What you'll do

• Develop predictive models for product quality outcomes, critical quality parameters, supplier risks, defect probabilities, non-conformance risks, process deviations
• Build audit-score prediction models to anticipate audit outcomes, identify potential findings, assess site-level quality risks, and prioritize preventive actions
• Apply NLP, clustering, causal analysis, and machine learning to classify non-conformances, identify recurring root causes, predict recurrence
• Develop analytics for food safety hazards, hygienic zoning, pathogen monitoring, environmental monitoring, sanitation, allergen control, and cross-contamination risks
• Create calibration and measurement-system analytics to identify overdue calibration risks, instrument drift, measurement uncertainty, and compliance gaps

What you need

• 5–8 years in data science & ai
• Machine learning
• SQL
• Python
• NLP
• LLMs
• Computer vision
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• GMP
• Pandas
• Scikit-learn
• Databricks
• AWS
• MLOps

What you get