Applied AI / Data Scientist

Seventh Heaven

India, Gujarat

On-site · Full-time

Applied AI / Data Scientist

Company: Confidential name
Location: Ahmedabad, Gujarat, India
Work setup: On-site
Experience: Mid-level; 5–6 years
Compensation: INR 35,00,000–50,00,000
Openings: 1

About the role

The Chairman’s Office (AI & Transformation team) is seeking a hands-on Applied AI / Data Scientist to translate business problems into practical AI and data tools used by business teams. The initial focus is fashion intelligence for large consumer brands, with the role expanding to manufacturing, supply chain, and other transformation use cases. The successful candidate will take ownership and contribute from day one.

Responsibilities

  • Own data and AI solutions end-to-end: understand the problem, analyze data, select an approach, then build, test, and iterate with users.
  • Combine data from multiple sources to identify patterns, diagnose performance, and support decisions.
  • Apply data science, machine learning, or GenAI as appropriate to the problem.
  • Build usable tools, including automated analysis, decision tools, AI workflows, and simple applications connected to databases and APIs.
  • Turn one-time analyses into repeatable products, measure their value, and improve them based on real usage.
  • Work directly with business and manufacturing teams.

Initial projects

  • Style Performance & Decision Engine: Combine sales, inventory, marketplace funnel, advertising, pricing and discount, and returns data to identify successful and underperforming styles, diagnose causes, and recommend whether to replenish, promote, test, or exit.
  • Winning Styles Data Bank: Link product and design attributes and images to market performance.
  • AI Style Search & Comparison: Compare new styles with similar historical styles using attributes and images (multimodal AI), using existing models where suitable.
  • Style Selection & Early Winner Identification: Develop rules and ML models for launch decisions, early winner signals, and replenishment.
  • Business & Manufacturing AI: Build planning, quality, productivity, and manufacturing operations decision tools and workflow automation.

Required qualifications

  • 5–6 years of hands-on experience in Applied AI, Data Science, or ML Engineering.
  • Strong Python and SQL skills, with the ability to work independently with large, messy datasets.
  • Solid statistics, applied machine learning, and model evaluation skills.
  • Experience using GenAI/LLMs to build real solutions, not just notebook prototypes.
  • Experience shipping a usable tool or product, such as APIs, database-connected tools, lightweight apps (e.g., Streamlit or FastAPI), or a simple frontend.
  • Personal experience building and deploying solutions; managing teams or producing analysis alone does not meet this requirement.
  • Comfortable working directly with business users in an ambiguous, fast-moving setting.

Nice to have

  • Retail, fashion, D2C, e-commerce, marketplace, supply chain, or manufacturing experience.
  • Recommendation systems, image or multimodal AI (CLIP or embeddings, visual similarity search), or agents.
  • Demand forecasting, assortment or merchandising analytics, pricing, or markdown models.

Education

Applicants from Tier 1 institutions are preferred. Tier 2 colleges are also acceptable when projects and experience are strong and varied.

Application

Send your CV to Sourav Guha or call/WhatsApp 9903412271. The hiring company will be introduced directly once a profile is shortlisted.