Data Scientist

Job Title: Data Scientist – Jewellery Manufacturing & Retail Analytics

Experience: 2–6 years

Location: Surat / Mumbai

Industry: Diamond and Jewellery Manufacturing & Retail

Role Overview

We’re looking for a Data Scientist with a strong business mindset to solve real-world problems in the jewellery value chain — not just build models.

This role sits at the intersection of data, finance, supply chain, and leadership . You’ll work on demand forecasting, pricing, inventory optimisation, and margin analysis while accounting for gold price volatility, seasonality, festivals, promotions, and regional demand patterns .

If you enjoy turning messy, operational data into clear business decisions, this role is for you.

Key Responsibilities

• Build and maintain demand forecasting models considering seasonality, festivals, promotions, and regional trends
• Develop pricing and margin models factoring gold rate volatility, labour costs, and BOM structures
• Optimise inventory planning for weight-based SKUs (grams, carats, designs, variants)
• Perform profitability and contribution analysis at SKU, category, and channel levels
• Partner closely with finance, supply chain, sales, and senior leadership to translate insights into actions
• Create clear dashboards, analyses, and narratives that support executive decision-making
• Continuously improve data quality, assumptions, and model performance based on real business feedback

Required Skills & Experience

• 2–6 years of experience as a Data Scientist / Analytics professional
• Strong hands-on experience with Python (Pandas, NumPy, Scikit-learn)
• Solid knowledge of statistics, regression, and time-series forecasting
• Proficiency in SQL and working with large, imperfect datasets
• Ability to explain complex analysis in simple business language

Good to Have (Strong Advantage)

• Experience in retail, manufacturing, jewellery, FMCG, or consumer goods
• Exposure to weight-based inventory , costing, pricing, or BOM analytics
• Understanding of gold pricing, wastage, making charges, or multi-component SKUs
• Experience working directly with CXOs or business heads

What We Value

• Business-first thinking over theoretical perfection
• Curiosity and ownership — you ask why , not just what
• Comfort working in ambiguity and evolving data environments
• Strong collaboration across non-technical teams

Why Join Us

• Work on high-impact, real-world jewellery problems , not sandbox datasets
• Direct exposure to leadership decision-making
• Opportunity to shape how data drives pricing, inventory, and profitability at scale
• Fast-growing organisation with a strong focus on analytics-led growth

Qualifications

• Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)