Mastercard is hiring for a FRESHER entry level Data Scientist (in Analytics) role in India

Position:
• Data Scientist II (as per the JD, this is a Data Analyst role)
• Individual contributor role focused on data analytics, reporting, and business insights
• Mid tier data science position within the global analytics organization
• Role aligned with business strategy, product growth, and market intelligence
• Exposure to large scale financial and transaction based datasets
• High impact role influencing business and product level decision making
• Opportunity to work with cross functional teams across regions
• Blend of technical execution and business communication responsibilities

Company:
• Mastercard
• Global payments and financial technology company
• Operates across more than two hundred countries and territories
• Serves individuals, merchants, financial institutions, governments, and businesses
• Known for secure and scalable digital payment technology
• Strong focus on inclusion, digital transformation, and economic empowerment
• Invests heavily in data, analytics, artificial intelligence, and cybersecurity
• Recognized globally for innovation in transaction processing and digital commerce

Location:
• Gurgaon
• Haryana
• India
• Corporate technology hub
• Access to global stakeholders
• Strong exposure to international projects

Job type:
• Full time
• Permanent employment
• Long term career opportunity

Job mode:
• Onsite
• Office based collaboration
• Daily interaction with local and global teams

Job requisition id:
• R 265843

Years of experience:
• Not explicitly mentioned in the original description
• Open to professionals at early to mid career stage
• Role level indicates suitability for growing data professionals

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Company description
• Mastercard is a global financial technology company that plays a central role in powering economies and enabling people across the world to participate in digital commerce
• The company operates in more than two hundred countries and territories and supports secure, seamless, and efficient digital transactions
• Its platforms handle billions of transactions each year across consumer payments, business payments, and government solutions
• Mastercard focuses on building an inclusive digital economy where individuals and organizations of all sizes can grow and succeed
• The organization partners with banks, merchants, governments, and technology providers to deliver innovative payment solutions
• Data and analytics form the backbone of many Mastercard products and services
• The company uses transaction level intelligence to support fraud prevention, marketing optimization, business growth, and financial inclusion
• Mastercard continuously invests in advanced technology such as artificial intelligence, cloud computing, cybersecurity, and data platforms
• The culture emphasizes integrity, collaboration, accountability, and continuous learning
• Employees are encouraged to take ownership of impactful projects that influence global commerce
• Mastercard is also committed to sustainability, ethical business practices, and social responsibility
• The company promotes diversity, equity, and inclusion across all functions and regions
• Employees work in a highly trusted environment where data security and privacy are treated as top priorities
• With innovation at its core, Mastercard continues to redefine how money moves across the world

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Profile overview
• The Data Scientist II role is part of the Data Analytics function that directly supports business strategy and product innovation
• This position focuses on converting large volumes of transaction and business data into meaningful insights
• The role supports acceptance teams and business stakeholders across regions and product lines
• The professional in this role contributes to reporting, visualization, and analytical solution development
• The position requires close collaboration with product, strategy, operations, and market teams
• The individual works with structured and semi structured datasets across multiple business verticals
• The role demands strong analytical thinking combined with practical execution using analytics tools
• The Data Scientist II is expected to handle data preparation, quality checks, validation, and reporting delivery
• The position also requires the ability to translate business questions into structured analytical problems
• This role involves building dashboards and reports that support executive and operational decisions
• The professional acts as a bridge between technical data platforms and business users
• The role provides exposure to global markets, diverse datasets, and complex business scenarios
• The individual supports tracking of business initiatives, revenue opportunities, and performance metrics
• The position also contributes to new product development and go to market strategy analytics
• The role emphasizes storytelling through data to support leadership and stakeholder communication

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Qualifications
• Bachelor degree or Master degree in Computer Science, Information Technology, Engineering, Mathematics, or Statistics
• Advanced knowledge of SQL for querying and managing large datasets
• Strong foundation in data management and data analytics concepts
• Experience working with relational databases and business intelligence tools
• Proficiency in Python for data analysis and automation tasks
• Knowledge of data visualization tools such as Tableau and Power BI
• Understanding of data modeling concepts and analytical data structures
• Familiarity with Microsoft BI technology stack
• Exposure to Hadoop or Hive environments is considered beneficial
• Ability to perform quantitative analysis and derive actionable insights
• Strong problem solving mindset with structured analytical thinking
• Ability to communicate insights clearly to business stakeholders
• Strong attention to data accuracy, validation, and quality processes
• Comfort in presenting findings using dashboards, presentations, and reports
• Willingness to continuously learn new tools and analytical methods
• Strong collaboration skills for working in team based project environments
• Ability to collect requirements and convert them into analytical deliverables

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Additional info
• The role requires handling sensitive financial and transaction related information
• Strict adherence to information security policies is mandatory
• The professional must ensure confidentiality and integrity of accessed data
• Any suspected security incident must be reported immediately
• Periodic security and compliance training is mandatory
• The role operates within a global team environment with multiple time zones
• The individual must be comfortable working under ambiguity and evolving requirements
• Project prioritization and workload balancing are regular expectations
• Strong documentation practices are required for analytics workflows
• The professional is expected to operate with ownership and accountability
• The role requires interaction with senior stakeholders and management teams
• Ethical handling of data and insights is a core responsibility
• The company expects integrity throughout the hiring and employment lifecycle
• Responsible use of artificial intelligence tools during work is expected
• The role contributes directly to revenue optimization and business performance measurement
• Continuous feedback and performance improvement are part of the role culture

Please click here to apply.