Senior Specialist, Strategy Pricing & Interchange

Overview

Senior Specialist on the RAISE Value Quantification team within Strategy Pricing & Interchange, shaping how Mastercard translates product, service and customer value into scalable pricing strategies, business cases and decision-ready analytics.

What you'll do

• Design and build predictive models that quantify the economic, operational and customer value of Mastercard products and services.
• Measure revenue, cost savings, efficiency, risk reduction and customer impact to inform pricing and commercialization decisions.
• Translate model outputs into clear value stories, commercial insights and business cases.
• Develop value-based B2B pricing models, commercial frameworks and analytical tools that support product pricing and go-to-market strategy.
• Estimate adoption, revenue impact, customer economics, churn elasticity and outcome-based scenarios.
• Run pricing scenarios and sensitivity analyses to guide strategic trade-offs and executive decision-making.
• Apply machine learning, statistical techniques and advanced analytics to identify pricing opportunities, customer value drivers and performance trends.
• Analyze large datasets and prepare structured inputs for predictive modeling.
• Build forecasts and analytical outputs that support pricing strategy, product planning and performance management.

What you'll need

• Master's degree in a quantitative field such as Data Science, Statistics, Economics, Engineering, Finance, Mathematics, Computer Science or Operations Research.
• 6-8 years of experience in data science and pricing analytics, with demonstrated experience building predictive models, pricing models, business case frameworks or value quantification methodologies.
• Proven ability to analyze large, complex datasets and convert analytical findings into business recommendations.
• Strong communication skills, with the ability to explain technical concepts to commercial and senior stakeholder audiences.
• Strong working knowledge of predictive modeling, machine learning, forecasting, statistics and model explainability.
• Proficiency in Python, including Pandas, NumPy, Scikit-learn and Statsmodels.
• Advanced SQL skills for data extraction, transformation and analysis.
• Experience with pricing elasticity, revenue optimization, customer economics, financial modeling or commercial strategy.
• Understanding of value-based pricing principles and how analytical insights inform commercial decision-making.
• Strong analytical skills, with the ability to link data, insights and business impact.
• Excellent communication, storytelling and stakeholder management skills.
• Ability to influence cross-functional teams and senior leaders.
• Strong ownership mindset and ability to work independently in a fast-paced environment.
• Curiosity, learning agility and innovation mindset.

Nice to have

• Experience in payments, fintech, banking, SaaS, consulting or other data-rich commercial environments.
• Advanced Excel skills, including financial modeling, Power Query and analytical modeling.
• Experience with visualization tools, dashboarding or application development.

Details

• Location: Gurgaon, India.
• Works closely with Product, Pricing, Commercialization, Data Science and regional teams.
• Requires completing all mandatory security and compliance training in accordance with Mastercard guidelines.