# Senior Specialist, Strategy Pricing & Interchange

**Company**: Mastercard
**Location**: Gurgaon, India
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Finance

**Apply**: https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/Gurgaon-India/Senior-Specialist--Strategy-Pricing---Interchange_R-292842?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/senior-specialist-strategy-pricing-and-interchange-bbb1c9db-78b/

## Description

Mastercard is seeking a highly analytical and commercially minded professional to join the RAISE Value Quantification team within Strategy Pricing & Interchange.

This role will help shape how Mastercard translates product, service, and customer value into scalable pricing strategies, business cases, and decision-ready analytics.

Key Responsibilities:

- Predictive Modeling and Explainability:

- 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.

- Pricing Analytics & Modeling:

- 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.

- Machine Learning & Advanced Analytics:

- 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.

Qualifications:

- Education: Master's degree in quantitative fields such as Data Science, Statistics, Economics, Engineering, Finance, Mathematics, Computer Science, or Operations Research.

- Must-Have Experience: 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.

Must-Have Technical Skills:

- 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.

Must-Have Business & Pricing Skills:

- 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.

Why Join Us:

- This is an opportunity to join Mastercard's Strategy Pricing & Interchange team in a high-impact role that combines advanced analytics, pricing strategy, and commercial influence.

- Strategic Impact: Shape value-based pricing strategies that influence product decisions, customer economics, and commercialization outcomes across Mastercard.

- Collaborative Culture: Work across Pricing, Product, Commercialization, Data Science, and regional teams in a culture that values curiosity, collaboration, analytical rigor, and continuous learning.

- Career Growth: Gain exposure to global stakeholders, senior leaders, and high-visibility initiatives while building deep expertise in pricing strategy, value quantification, and advanced analytics.

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## Skills

### Required
- predictive modeling
- machine learning
- pricing analytics
- data science
- Python
- SQL
- statistics
- model explainability
- financial modeling
- commercial strategy

### Nice to have
- advanced Excel skills
- visualization tools
- dashboarding
- application development
- experience in payments
- fintech
- banking
- SaaS
- consulting

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