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Mastercard is hiring for an FRESHER entry level Data Scientist / Data Analyst role in India




Position:

  • Data Scientist II (more of a Data Analyst role as per the JD -- comment by the TakeOff Talent Team)

Company:

  • Mastercard

Location:

  • Gurgaon, India

Job type:

  • Full time

Job mode:

  • Onsite

Job requisition id:

  • R 268824

Years of experience:

  • 0 to 3 years

Company description:

  • Mastercard is a global technology driven organization that plays a central role in enabling digital payments across the world

  • The company operates across more than two hundred countries and territories, supporting individuals, businesses, governments, and institutions

  • Mastercard focuses on building systems that allow people and organizations to participate in modern economies in a secure and efficient manner

  • The organization believes in creating economic inclusion by offering payment solutions that are accessible, reliable, and trusted

  • Mastercard works closely with financial institutions, merchants, regulators, and technology partners to strengthen global payment ecosystems

  • The company invests heavily in innovation, data driven platforms, and advanced analytics to improve transaction intelligence and decision making

  • Sustainability and long term economic growth are central to Mastercard’s mission, with efforts focused on responsible data use and ethical technology

  • Mastercard supports a culture of collaboration, learning, and continuous improvement across teams and regions

  • Employees are encouraged to think critically, solve real world problems, and contribute to products that impact millions of users daily

  • The organization maintains strong commitments to security, privacy, and trust in every product and service it delivers

  • Mastercard fosters a diverse and inclusive workplace where different perspectives are valued and respected

  • The company provides opportunities to work on global scale problems while collaborating with teams across multiple continents

  • Mastercard continues to expand its analytics and data science capabilities to support smarter decisions for customers and partners

  • Through technology and partnerships, Mastercard aims to empower people and enable businesses to grow responsibly

  • The organization is known for combining data, technology, and human insight to create meaningful solutions

  • Mastercard’s work supports not only commerce but also financial access and economic resilience

  • Employees are part of an environment that values integrity, accountability, and professional growth

  • Mastercard remains focused on building a future where digital payments are safe, simple, and inclusive for everyone

Profile overview:

  • The Data Scientist II role is designed for professionals who are early in their data science careers and eager to work on real business problems

  • This position sits within the Data and Analytics team and supports analytical initiatives across multiple business functions

  • The role involves working with large and diverse data sets to generate insights that influence strategic and operational decisions

  • The Data Scientist is expected to apply statistical reasoning, analytical thinking, and technical skills to solve complex questions

  • This position offers exposure to business health analysis, portfolio performance evaluation, and revenue related insights

  • The role includes close collaboration with internal stakeholders to understand objectives and translate them into data driven solutions

  • The Data Scientist contributes to dashboards, reports, and visual outputs that support decision making at various levels

  • This position encourages continuous learning and development of advanced analytics capabilities

  • The role provides opportunities to support product development initiatives and market related strategies

  • The Data Scientist works alongside senior team members and gains experience through guided project involvement

  • The position emphasizes accuracy, clarity, and relevance in analytical outputs

  • This role supports proactive decision making by building alerts and monitoring key performance indicators

  • The Data Scientist participates in initiatives that aim to optimize performance and identify growth opportunities

  • The role requires balancing multiple tasks while maintaining attention to detail

  • The position is suitable for candidates who enjoy working with data and transforming it into actionable insight

  • The role values curiosity, initiative, and a strong sense of responsibility

  • This position is ideal for individuals who want to grow into trusted analytics partners within the organization

  • The Data Scientist is expected to communicate findings clearly to both technical and non technical audiences

  • The role supports Mastercard’s broader goal of enabling data informed decisions across teams and regions

Qualifications:

  • Bachelor degree in data science, statistics, computer science, mathematics, or a related academic discipline

  • Strong foundation in quantitative analysis and problem solving

  • Working knowledge of SQL for querying and manipulating structured data

  • Experience with at least one programming language, with preference for Python

  • Familiarity with data visualization platforms such as Power BI or Tableau

  • Understanding of statistical modeling concepts and data preparation techniques

  • Exposure to large scale data environments and data warehouse systems

  • Basic knowledge of distributed data frameworks such as Hadoop

  • Ability to clean, organize, and structure raw data for analysis

  • Strong written and verbal communication skills in English

  • Ability to explain analytical results in a clear and structured manner

  • Demonstrated attention to detail and commitment to quality

  • Analytical mindset with a focus on accuracy and relevance

  • Willingness to learn new tools, methods, and technologies

  • Ability to manage time effectively and prioritize tasks

  • Comfort working in a collaborative team environment

  • Proactive approach to identifying issues and proposing solutions

  • Exposure to financial services or payments related domains is preferred

  • Interest in applying analytics to business strategy and performance improvement

  • Basic understanding of project execution and delivery timelines

Additional info:

  • The role provides opportunities to work on initiatives that impact global customers and partners

  • Employees are expected to follow Mastercard’s information security policies and best practices

  • Protection of confidential data and systems is a shared responsibility across all roles

  • Team members must report any suspected security concerns promptly

  • Mandatory security training is required as part of ongoing professional responsibilities

  • The organization expects honesty and integrity throughout the application and interview process

  • Candidates are encouraged to engage authentically during assessments and discussions

  • The role supports professional growth through exposure to diverse projects and teams

  • Employees gain experience working with stakeholders across different regions and functions

  • The position offers a structured environment with clear expectations and accountability

  • The organization supports ethical use of data and responsible analytics practices

  • Team members are encouraged to take ownership of their work and outcomes

  • The role contributes to long term analytics capabilities within the company

  • Mastercard values individuals who are committed to learning and improvement

  • The position supports collaboration and knowledge sharing within the analytics community

  • Employees are encouraged to align their work with broader business goals

  • The role offers a stable and growth oriented career path within analytics

  • Mastercard supports work that balances technical excellence with business relevance

  • The position allows early career professionals to build strong foundations in applied data science


Please click here to apply.


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