Data Scientist – Pricing

noon; Gurugram District; On-site; INR 8,612,000 - 12,440,000; Full time

Job summary

Noon is building a hyper-local pricing platform to optimise pricing across thousands of SKUs, leveraging data from Noon Minutes and related services. As Pricing Data Scientist, you will collaborate with Product, Commercial, Engineering and Data Science teams to design and deploy data-driven pricing systems.

You will develop elasticity models, experiment with pricing strategies, and translate insights into production-ready algorithms that balance conversion, margin and competitiveness.

Qualifications

• 1–3 years of experience in data science or related quantitative field.
• Strong grounding in statistics, ML and causal inference.
• Proficiency with Python and SQL; ability to translate data into pricing decisions.

Responsibilities

• Build and improve SKU-level price elasticity models to understand price effects on demand and revenue.
• Develop models to identify competitor-sensitive SKUs and quantify price differences.
• Create price-demand curves and identify optimal prices across business objectives.
• Incorporate promotions and campaigns into pricing and demand models.
• Translate models into production pricing algorithms and monitoring systems.
• Design experiments to measure impact of pricing changes and refine models.
• Work with large datasets using SQL and Python; communicate results to stakeholders.

Skills

Python

SQL

Statistics

Machine Learning

Causal Inference

Experimentation

Tools

Pandas

Scikit-Learn

Job description

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.