Data Scientist – Pricing

noon; Gurugram District; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Noon is seeking a Pricing Data Scientist to join a fast-moving team building data-driven pricing systems for thousands of SKUs across Noon Minutes. You will collaborate with Product, Commercial, Engineering and Data Science to determine optimal prices, timing, and promotions to balance conversion and revenue.

Responsibilities include building elasticity models, identifying competitor-sensitive SKUs, and translating insights into production pricing algorithms.

Qualifications

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

Responsibilities

• Build SKU-level price elasticity models to understand how changes in price impact demand, conversion and revenue.
• Develop models to identify competitor-sensitive SKUs and quantify the impact of competitive price differences.
• Build price-demand curves to estimate potential sales at different price points and identify optimal prices.
• Develop models to optimise pricing across key business objectives including conversion, GMV, PC1 and customer competitiveness.
• Incorporate promotions, discounts, campaigns and other demand drivers into pricing and demand models.
• Translate models into production pricing algorithms and decision systems.
• Design and analyse experiments to measure the impact of pricing changes and continuously improve the models.
• Develop methods to handle sparse data, promotions, seasonality, cannibalisation and other real-world pricing challenges.
• Build monitoring and diagnostics to identify when pricing models are performing poorly or when market conditions change.
• Work hands-on with large datasets using SQL and Python and independently investigate business problems.
• Communicate model outputs and recommendations clearly to commercial and business stakeholders.

Skills

Statistics & ML concepts

Python & SQL

Experimentation & forecasting

Pricing domain knowledge

Communication

Tools

Python

SQL

Job description

About noon

We’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.

Noon’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.

noon’s mission: Every door, every day.

What you'll do:

Team noon has some of the fastest, 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.

• Build and improve SKU-level price elasticity models to understand how changes in price impact demand, conversion and revenue.
• Develop models to identify competitor-sensitive SKUs and quantify the impact of competitive price differences.
• Build price-demand curves to estimate potential sales at different price points and identify optimal prices.
• Develop models to optimise pricing across key business objectives including conversion, GMV, PC1 and customer competitiveness.
• Incorporate promotions, discounts, campaigns and other demand drivers into pricing and demand models.
• Translate models into production pricing algorithms and decision systems.
• Design and analyse experiments to measure the impact of pricing changes and continuously improve the models.
• Develop methods to handle sparse data, promotions, seasonality, cannibalisation and other real-world pricing challenges.
• Build monitoring and diagnostics to identify when pricing models are performing poorly or when market conditions change.
• Work hands-on with large datasets using SQL and Python and independently investigate business problems.
• Communicate model outputs and recommendations clearly to commercial and business stakeholders.

What you'll need

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

Who will excel?

• We’re looking for people with high standards, who understand that hard work matters.
• You need to be relentlessly resourceful and operate with a deep bias for action.
• We need people with the courage to be fiercely original.
• noon is not for everyone; readiness to adapt, pivot, and learn is essential.