About Aarvian
Aarvian is a 'Process-First' AI transformation partner dedicated to operationalizing Data, ML, and AI for the global enterprise. We move beyond fragmented tools by aligning intelligence with business logic — mapping solutions from Process to Function, and ultimately to the Business Unit's P&L.;
Our work is anchored on four core pillars:
• Domain-led Expertise — deep industry knowledge that grounds every AI solution in real-world business context.
• Comprehensive Lifecycle Ownership — end-to-end engagement from Advisory through to Adoption.
• Co-development Trust — we build with our clients, not just for them, fostering shared accountability.
• Ethical AI Foundation — a steadfast commitment to responsible, transparent, and fair AI practices.
At Aarvian, you will work alongside practitioners who bring rigorous thinking and genuine domain depth to some of the most complex AI challenges in global enterprise retail.
Role Overview
We are looking for an experienced Data Scientist with a solid machine learning background and hands-on experience in the retail domain.



The ideal candidate will have a proven track record of building and deploying ML models that drive measurable business outcomes — including demand forecasting, pricing optimization, and customer analytics. You will work closely with business, engineering, and product teams to deliver data-driven solutions at scale.
Key Responsibilities
Demand Forecasting & Time Series Analysis
• Design and develop demand forecasting models using time series techniques such as ARIMA, SARIMA, Prophet, LSTM, and Temporal Fusion Transformers.
• Incorporate external signals (promotions, seasonality, holidays, market trends) to improve forecast accuracy.
• Build and maintain automated forecasting pipelines for SKU-level and category-level demand planning.
• Collaborate with supply chain and inventory teams to translate forecasts into actionable replenishment decisions.
Price Elasticity & Pricing Analytics
• Develop price

📌 Data Scientist (Bengaluru)
🏢 Aarvian
📍 Bengaluru