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Pune · On-site · 1-3 Yrs · 1 day ago
Financial Transaction Processing · 10000+ Employees · Purchase, US
As a technology company in the global payments business our payments processing network, connects consumers, financial institutions, merchants, governments, and businesses in more than 210 countries and territories.
Hiring: Engineering
What employees say
+ Good culture and exposure along with work life balance
− Nothing particular bad as such
More reviews on the company profile.
Interview experience · Product Manager
I completed the entire interview loop for a Product Manager role at Mastercard. All technical and managerial rounds went exceptionally well, and the interviewing panel was professional and engaging. Following the final r
Average difficulty · India · 491 reports
More interview insightsJob description
Overview
Our PurposeWe work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible.
Responsibilities
- Drive the evolution of Data & Services products/platforms with an impact-focused on data science and engineering. Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions. Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
- Provide support for deployed data applications and analytical models by being a trusted advisor to Data Scientists and other data consumers by identifying data problems and guiding issue resolution with partner Data Engineers and source data providers.
- Ensure proper data governance policies are followed by implementing or validating Data Lineage, Quality checks, classification, etc. Discover, ingest, and incorporate new sources of real-time, streaming, batch, and API-based data into our platform to enhance the insights we get from running tests and expand the ways and properties on which we can test Experiment with new tools to streamline the development, testing, deployment, and running of our data pipelines.
- Maintain awareness of relevant technical and product trends through self-learning/study, training classes and job shadowing.
- Ensure proper data governance policies are followed by implementing or validating Data Lineage, Quality checks, classification, etc.
- Work with small, cross-functional teams to define the vision, establish team culture and processesConsistently focus on key drivers of organization value and prioritize operational activities accordingly Escalate technical errors or bugs detected in project work
- Maintain awareness of relevant technical and product trends through self-learning/study, training classes, and job shadowing.
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Job application FAQ
Last updated 14 October 2026
- How do I apply for Data / ML Engineer-4 at Mastercard?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Mastercard may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data / ML Engineer-4 role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data / ML Engineer-4 remote or on-site in Pune, Maharashtra?
- This listing is marked on_site with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Data / ML Engineer-4 role at Mastercard?
- This is a mid-level Data / ML Engineer-4 role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.