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Posted 16 June, 2026

Shift Incharge

Weekday
Mumbai Full Time
Reference: 113_728664_801cb646-5b4e-47df-baa7-209bfbfb0dc9

This role is for one of our clients
Industry: Retail
Company Name: Reliance Retail
Seniority level: Mid-Senior level

Min Experience: 3+ years

Location: Mumbai

JobType: full-time

3,00,000 - 4,00,000 a year

1. Customer, Growth & Commerce Intelligence

  • Search, ranking, recommendations, and personalization
  • Customer profiling, segmentation, LTV, churn, and loyalty
  • Acquisition, engagement, retention, and lifecycle optimization
  • Marketing effectiveness, attribution, uplift, and experimentation

2. Monetization, Pricing & Promotions

  • Dynamic pricing and markdown optimization
  • Promotion effectiveness and offer personalization
  • Ads relevance, bidding intelligence, and measurement
  • Margin optimization and revenue intelligence

3. Supply Chain, Planning & Availability

  • Demand planning and forecasting at scale
  • Inventory, replenishment, and allocation optimization
  • Network planning, S&OP, and fulfillment intelligence
  • Availability, selection depth, and service-level optimization

4. Store, Operations & Physical Retail Intelligence

  • Store efficiency, labor optimization, and compliance
  • Planogram intelligence and assortment effectiveness
  • Computer vision, video, and sensor-based intelligence
  • Shrinkage, fraud, and loss prevention

5. Platform, Automation & Next-Gen AI

  • Intelligent decision engines embedded into workflows
  • Agentic systems for automated planning, execution, and monitoring
  • Causal, simulation, and digital twin-based modeling
  • Reusable ML platforms, feature stores, and inference systems

Must-have skills

Retail, recommendations

Good-to-have skills

Pytorch, Tensorflow, XGBoost
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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