Data Scientist

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Role Overview

Data Scientist with a strong business mindset

data, finance, supply chain, and leadership

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.)