Dholakia Lab Grown Diamond

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.)