Data Scientist (Insurance Industry)

About The Opportunity

We operate in the fragrance and personal-care manufacturing sector, serving global consumer and B2B markets with high-quality scent formulations and aromatic ingredients. The role is embedded in an on-site analytics team focused on translating sensory, production, and commercial data into product and supply-chain improvements.

This Data Scientist role is based in India and sits within the R&D / Analytics function of a leading fragrance manufacturerworking closely with formulation chemists, supply chain, and commercial teams to deliver measurable business impact.

Role & Responsibilities

• Develop and validate predictive models for demand forecasting, inventory optimization, and sales uplift using production, sales, and sensory datasets.
• Analyze sensory and consumer-preference data to identify formulation drivers and recommend data-led product changes to R&D.
• Design and evaluate experiments (A/B tests, sensory panels), interpret results, and translate them into actionable business recommendations.
• Build and maintain ETL pipelines and feature engineering workflows to ensure high-quality, reproducible datasets for modelling.
• Deploy, monitor, and maintain production ML models; implement performance dashboards and automated retraining triggers to manage model drift.
• Present insights and model outputs through dashboards and concise reports to cross-functional stakeholders (R&D, Supply Chain, Sales) to drive decisions.
  
  

Skills & Qualifications

Must-Have

• Python
• SQL
• pandas
• scikit-learn
• Time series forecasting
• Tableau
  
  

Preferred

• TensorFlow
• PyTorch
• MLOps
  
  

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, or related quantitative field.
• Practical experience applying ML/forecasting in FMCG, manufacturing, or product R&D environments preferred.
• Ability to work on-site in India and collaborate directly with laboratory and production teams.
  
  

Benefits & Culture Highlights

• Collaborative, R&D-driven culture where analytics directly influence product formulation and go-to-market strategy.
• Hands-on ownership of end-to-end data science projects and opportunities to scale models into production.
• Competitive compensation, learning budget, and career growth within a fast-growing specialty fragrance business.
  
  

Skills: python,tableau,forecasting,scikit-learn,ai & advanced analytics.,pandas,sql,data