Job Overview
| Details | Info |
|---|---|
| Company | Mastercard |
| Job Role | Manager – Data Scientist |
| Department | AI and Data |
| Job Type | Full Time |
| Location | Gurgaon, Haryana, India |
| Qualification | Computer Science / Data Science / Statistics / Mathematics / Technology or Related Field |
| Skills Required | Python / SQL / Spark / Hadoop / Machine Learning |
About Mastercard
Mastercard is one of the world’s most iconic and respected global technology and payments companies connecting billions of people, businesses, and governments across more than 210 countries and territories. Known for their leadership in digital payments, cybersecurity, data analytics, and financial technology, Mastercard processes billions of transactions every single day through their world class payment network. Their Gurgaon office is one of Mastercard’s most important technology and data science centers in Asia where highly skilled engineers, data scientists, and AI professionals work on cutting edge data intelligence and payment technology solutions that shape the future of global commerce and digital payments.
Joining Mastercard as a Manager Data Scientist in their AI and Data department is a truly prestigious and highly rewarding career opportunity to work at the absolute frontier of data science and artificial intelligence in one of the world’s most respected and innovative financial technology companies.
About the Role
Mastercard is hiring a Manager Data Scientist for their AI and Data department in Gurgaon. This is a full time senior role open to experienced data science professionals with a strong background in Computer Science, Data Science, Statistics, Mathematics, Technology, or a related field. You will be leading and contributing to advanced data science projects that leverage Python, SQL, Spark, Hadoop, and Machine Learning to generate powerful insights and intelligent solutions for Mastercard’s global payment and business operations.
This role is ideal for experienced data scientists who are passionate about building impactful AI and data science solutions at global scale and want to grow their career at one of the world’s most respected and innovative financial technology companies.
What You Will Work On
- Leading and developing advanced data science and machine learning models for Mastercard’s global payment platforms
- Building and deploying AI powered solutions that generate actionable insights from large scale transaction data
- Developing and optimizing data pipelines and analytical frameworks using Python, SQL, Spark, and Hadoop
- Applying machine learning algorithms for fraud detection, risk management, customer analytics, and business intelligence
- Collaborating with cross functional teams including engineering, product, and business stakeholders on AI and data projects
- Mentoring junior data scientists and analysts on best practices in data science and machine learning
- Translating complex data science findings into clear and actionable business insights for senior leadership
- Ensuring data quality, integrity, and compliance across all data science projects and analytical workflows
- Staying updated with the latest advancements in AI, machine learning, and big data technologies
- Contributing to Mastercard’s data science strategy and AI innovation roadmap
Who Can Apply – Eligibility Criteria
- Completed degree in Computer Science, Data Science, Statistics, Mathematics, Technology, or related field
- Strong hands on experience in data science and machine learning in a professional setting
- Expert level knowledge of Python for data science and machine learning development
- Strong proficiency in SQL for data querying, analysis, and database management
- Hands on experience with big data technologies like Apache Spark and Hadoop
- Deep understanding of machine learning algorithms, statistical modeling, and predictive analytics
- Experience working with large scale datasets and distributed computing environments
- Strong analytical thinking and problem solving skills for complex data science challenges
- Good leadership, communication, and stakeholder management abilities
- Ability to work in a collaborative and fast paced global technology environment
What You Will Work On After Joining
- Drive data science innovation across Mastercard’s AI and Data department
- Lead high impact machine learning projects that directly influence Mastercard’s global business strategy
- Build and scale advanced AI solutions for payment intelligence, fraud prevention, and customer insights
- Collaborate with world class data scientists and AI engineers across Mastercard’s global teams
- Contribute to shaping the future of AI and data science at one of the world’s leading payment companies
Career Growth Opportunities
- Opportunity to grow into senior manager and director level data science roles at Mastercard
- Work on data science projects that directly impact billions of transactions and payments worldwide
- Add Mastercard — one of the world’s most iconic and respected financial technology brands — to your resume
- Exposure to cutting edge AI and data science projects and global payment technology teams
- Build a strong professional network within Mastercard’s world class AI and Data community in Gurgaon
Interview Preparation Guide
Selection Process
- Online Technical Assessment – Data Science and Machine Learning concepts
- Technical Interview – Python, SQL, Spark, Hadoop, and ML algorithms
- Case Study Round – Real world data science problem solving
- HR Interview – Leadership and Personality Assessment
Resume Tips
- Keep resume clean and well structured
- Highlight all data science, machine learning, and big data related projects and work experience
- Mention expertise in Python, SQL, Spark, Hadoop, and Machine Learning clearly
- Add any relevant certifications in data science, machine learning, or big data technologies
- Include links to your GitHub, Kaggle profile, or data science portfolio if available
Day Before Interview Checklist
- Revise machine learning algorithms and statistical modeling concepts thoroughly
- Brush up on Spark and Hadoop big data processing fundamentals
- Practice Python and SQL coding for data science scenarios
- Re-read your own resume carefully
- Prepare a clear explanation of your most impactful data science project
- Keep your ID proof and all documents ready
- Sleep well and stay confident
How to Apply
- Visit the official Mastercard Careers Portal
- Search for Manager Data Scientist position in Gurgaon
- Create your profile and upload your updated resume
- Fill in all required details carefully
- Submit your application online before the deadline
Make sure your resume clearly highlights your Python, SQL, Spark, Hadoop, and Machine Learning expertise along with any relevant data science projects and work experience before applying
For the latest job and internship updates across India, keep visiting nammajobss.in