Job DescriptionAbout noon

NWe're building an ecosystem of digital products and services that power everyday life across the Middle East—fast, scalable, and deeply customer-centric. Our mission is to deliver to every door every day. We want to redefine what technology can do in this region, and we're looking for a Pricing Data Scientist who can help us move even faster.

NNoon's fastest hyper-local delivery platform, Noon Minutes, offers a localized assortment of FMCG & grocery products with delivery within 15-minutes. Currently live across the UAE and Saudi Arabia, offering thousands of products to customers in record time.

Nnoon's mission: Every door, every day.

NWhat you'll do:

NTeam noon has some of thefastest, smartest, and hardest-working people we've encountered. With a young, aggressive, and talented team, we're driving major missions forward. Pricing is one of the most important levers in our business — balancing customer conversion, sales, margin, competitiveness and long-term price perception across thousands of SKUs and stores.

As a Pricing Data Scientist, you will work closely with Product, Commercial, Engineering and Data Science teams to build data-driven pricing systems that determine what price we should charge, where, and when.

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- Build and improveSKU-level price elasticity models to understand how changes in price impact demand, conversion and revenue.
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- Develop models to identify competitor-sensitive SKUs and quantify the impact of competitive price differences.
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- Build price-demand curves to estimate potential sales at different price points and identify optimal prices.
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- Develop models to optimise pricing across key business objectives including conversion, GMV, PC1 and customer competitiveness.
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- Incorporate promotions,discounts, campaigns and other demand drivers into pricing and demand models.




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- Translate models into production pricing algorithms and decision systems.
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- Design and analyse experiments to measure the impact of pricing changes and continuously improve the models.
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- Develop methods to handle sparse data, promotions, seasonality, cannibalisation and other real-world pricing challenges.
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- Build monitoring and diagnostics to identify when pricing models are performing poorly or when market conditions change.
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- Work hands-on with large datasets using SQL and Python and independently investigate business problems.
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- Communicate model outputs and recommendations clearly to commercial and business stakeholders.
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nWhat you'll need

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- 1-3 years of experience in Data Science, Applied Science, ML or a related quantitative field.
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- Robust understanding ofstatistics, machine learning and causal inference.
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- Strong experience with Python and SQL.
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- Good understanding of regression, experimentation, forecasting and optimisation.
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- Experience building models that have been deployed and used in real business decisions.
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- Strong analytical thinking and ability to translate ambiguous business problems into quantitative models.
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- Comfortable working with large, messy datasets and independently finding insights.
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- Strong communication skills — ability to explain complex modelling concepts to non-technical stakeholders.
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- Experience in pricing, retail, e-commerce, quick-commerce, FMCG or marketplaces is a strong plus.
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nWho will excel?

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- We're looking forpeople with high standards, who understand that hard work matters.
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- You need to be relentlessly resourceful and operate with a deep bias for action.
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- We need people with thecourage to be fiercely original.
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- noon is not for everyone;

readiness to adapt, pivot, and learn is essential.

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📌 Hiring: Data Scientist - Pricing (India)
🏢 noon
📍 India