Data Scientist-1
Mastercard
Mastercard is hiring talented professionals for the position of Data Scientist-1 in Navi Mumbai, India (Finicity). This opportunity is ideal for candidates looking to build a strong career in the IT industry in 2026. Applicants should carefully review the eligibility criteria, required skills, and selection process before applying online.
The recruitment drive for 2026 offers a great chance for job seekers to join a reputed organization. Make sure to prepare well for the interview and submit your application before the deadline. Read below for full details on how to apply, educational qualifications, and other important instructions.
Job Overview
| Role: | Data Scientist-1 |
| Location: | Navi Mumbai, India (Finicity) |
| Employment Type: | Full Time / Permanent |
| Industry: | IT / Software / Core |
🚀 Why Data Scientist-1 is a Strategic Career Move in 2026
Joining Mastercard as a Data Scientist-1 offers excellent growth prospects. Here's why this role is trending:
- Companies are aggressively hiring for AI/ML roles in Bangalore and Hyderabad.
- Senior potential is huge, with paths leading to AI Architect or Chief Data Officer.
Industry Insight: Data Scientist roles in Navi Mumbai, India (Finicity) are currently seeing high demand.
Organization / Company Name
Mastercard
(See full description for company details)
🎯 How to Prepare for Data Scientist-1 Role
To crack the interview at Mastercard, focus on the following:
- Practice SQL queries for data extraction and manipulation.
- Master Python libraries: Pandas, NumPy, Scikit-learn, and TensorFlow.
- Brush up on Statistics and Probability theory.
Important Dates
- Posted On: 15 April 2026
- Application Deadline: ASAP (Apply immediately)
Job Description
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Data Scientist-1Who is Mastercard?Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Overview
Finicity, a Mastercard company, is leading the Open Banking Initiative to increase the Financial Health of consumers and businesses. The Data Science and Analytics team is looking for a Data Scientist II. The Data Science team works on Intelligent Decisioning; Financial Certainty; Attribute, Feature, and Entity Resolution; Verification Solutions and much more. Join our team to make an impact across all sectors of the economy by consistently innovating and problem-solving. The ideal candidate is passionate about leveraging data to provide high quality customer solutions. Also, the candidate is a strong technical leader who is extremely motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset.
Role
Manipulates large data sets and applies various technical and statistical analytical techniques (e.g., OLS, multinomial logistic regression, LDA, clustering, segmentation) to draw insights from large datasets.
Apply various Machine learning (i.e. SVM, Radom Forest, XGBoost, LightGBM, CATBoost etc), Deep learning techniques (i.e. LSTM, RNN, Transformer etc.) and LLMs to solve analytical problem statement.
Design and implement machine learning models for a number of financial applications including but not limited to: Transaction Classification, Temporal Analysis, Risk modeling from structured and unstructured data.
Measure, validate, implement, monitor and improve performance of both internal and external facing machine learning models.
Propose creative solutions to existing challenges that are new to the company, the financial industry and to data science.
Present technical problems and findings to business leaders internally and to clients succinctly and clearly.
Leverage best practices in machine learning and data engineering to develop scalable solutions.
Identify areas where resources fall short of needs and provide thoughtful and sustainable solutions to benefit the team
Be a strong, confident, and excellent writer and speaker, able to communicate your analysis, vision and roadmap effectively to a wide variety of stakeholders
All about you:
3-5 years in data science/ machine learning model development and deployments
Exposure to financial transactional structured and unstructured data, transaction classification, risk evaluation and credit risk modeling is a plus.
A strong understanding of NLP, Statistical Modeling, Visualization and advanced Data Science techniques/methods.
Gain insights from text, including non-language tokens and use the thought process of annotations in text analysis.
Solve problems that are new to the company, the financial industry and to data science
SQL / Database experience is preferred
Experience with Kubernetes, Containers, Docker, REST APIs, Event Streams or other delivery mechanisms.
Familiarity with relevant technologies (e.g. GenAI, LLMs, Agentic AI, TensorFlow, Python, Sklearn, Pandas, etc.).
Strong desire to collaborate and ability to come up with creative solutions.
Additional Finance and FinTech experience preferred.
Bachelor’s or Master’s Degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics.
Corporate Security Responsibility
Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position must:
Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
Educational Qualification
Candidates should possess a relevant degree (B.E/B.Tech, M.E/M.Tech, MCA, or equivalent) from a recognized university. Please refer to the specific requirements in the Job Description above.
Age Limit
As per company rules. Generally, candidates should be at least 18 years of age.
Salary / Pay Scale
Best in Industry / Not Disclosed by Company.
Application Fee
NIL (No application fee for private jobs).
Selection Process
- Resume Shortlisting
- Online Assessment / Technical Round
- HR Interview
- (Process may vary by company)
How to Apply
Interested and eligible candidates can apply online using the link provided below.
- Click on the "Apply Now" link below.
- You will be redirected to the official career page of Mastercard.
- Read the job details carefully.
- Click on "Apply" and fill in the required details.
- Submit your application.
Important Links
Important Instructions
- Read the full job description on the official site before applying.
- Ensure your resume is updated and matches the job requirements.
- Check your email regularly for updates after applying.
Kishan Prajapati
Career Researcher & IT Industry Analyst. Helping freshers and professionals find verified private IT job opportunities in India.
Disclaimer: This job posting is for information purposes only. We are not associated with Mastercard directly. All applications are processed through the official company website. Do not pay any money to anyone for this job.
