📋 Job Details at a Glance 📍 Location Pune, India 🏢 Company Mastercard 👥 Experience 1-3 years 🎓 Qualification Hands-on with Python, SQL, Azure, APIs, AI / LLM agents. Relevant technical / engineering background 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python SQL Azure APIs AI LLM agents Data Scientist II at Mastercard — Full Details & How to Apply Mastercard is seeking a Data Scientist II in Pune, India , where you will leverage hands-on experience with Python, SQL, Azure, APIs, and AI / LLM agents to analyze data and generate insights that support secure digital payment solutions. This role is part of Mastercard ’s technology-driven efforts to enhance payment systems through data analysis. This Data Scientist II role directly supports Mastercard ’s mission to deliver secure and accessible digital payment solutions by using data analysis and AI technologies. Candidates will work with real-world data pipelines and tools to generate actionable insights, contributing to the development of payment systems that serve millions of users globally. The job posting highlights that this position is part of Mastercard ’s technology operations in Pune, India . It emphasizes a technical background and hands-on experience with Python, SQL, Azure, APIs, AI / LLM agents . The role is designed for individuals with 1-3 years of experience and a relevant engineering or technical foundation. 2023, 2024, 2025, 2026 graduates are eligible. Candidates must have hands-on with Python, SQL, Azure, APIs, AI / LLM agents and a relevant technical / engineering background . The role requires 1-3 years of experience . The salary is Not Disclosed . Applicants will gain practical experience with Python , SQL , Azure , APIs , and AI / LLM agents . This role provides a foundation for advancing into more complex data engineering or AI roles within technology-driven financial services. It offers a clear progression path for technical professionals aiming to work in scalable, real-world data environments. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Explore more Data Scientist II jobs , Mastercard recruitment , and Pune, India jobs on our platform. Job Role & Responsibilities The Data Scientist II at Mastercard is responsible for deriving actionable business insights from large-scale transaction and user datasets using Python and SQL , ensuring data integrity through real-time data quality and performance metric monitoring. Analyze transactional datasets using Python to execute statistical modeling and derive predictive insights for fraud detection and user behavior patterns. Extract structured data from relational databases using SQL queries to support real-time reporting and operational decision-making. Collaborate with engineering teams to integrate APIs and AI models into existing payment infrastructure, ensuring seamless data flow. Monitor data quality and performance metrics such as latency, accuracy, and error rates to validate model outputs and pipeline reliability. Maintain and update existing Azure data pipelines and codebases to improve processing efficiency and reduce runtime by at least 15%. Document end-to-end analytical workflows and model outputs in structured formats for internal team access and audit compliance. Troubleshoot data ingestion failures and API response errors using Python scripts and SQL diagnostics to restore service continuity. Implement AI and LLM agent prototypes to automate customer query resolution and reduce manual data review time by 20%. This role demands direct ownership of data pipelines and analytical outputs, with measurable impact on fraud detection accuracy , user experience response time , and system uptime metrics. Required Skills & Technical Competencies The Data Scientist II role requires a strong foundation in Python , SQL , Azure , APIs , and AI technologies to execute data analysis, model deployment, and system integration tasks. Technical Skills Python — intermediate — used for data cleaning, statistical analysis, and implementing machine learning models in AI and LLM agent prototypes. SQL — intermediate — applied to extract, filter, and join data from relational databases to support real-time analytics and reporting. Azure — intermediate — leveraged for storing, processing, and managing large-scale data in cloud-based data lakes and data pipelines . APIs — intermediate — used to consume and integrate external data sources, such as payment gateways and third-party services, into internal systems. AI — entry — applied in building predictive models for fraud detection and user segmentation using supervised learning techniques. LLM agents — entry — used to prototype conversational data retrieval systems that answer user queries via natural language processing. When preparing your resume, emphasize hands-on projects where you used Python scripts, SQL queries, and Azure services to solve real-world data problems with measurable outcomes. Eligibility Criteria This role is designed for candidates with a technical or engineering background , who have completed a degree in Computer Science, Data Science, or a related field , and possess 1–3 years of hands-on experience in data analysis or software development. Must hold a degree in Computer Science, Data Science, or a related engineering discipline from a recognized institution. Eligible batches are 2023, 2024, 2025, and 2026 only. Minimum of 1 year of practical experience in data analysis, programming, or software development is required. Academic performance is not specified, but a CGPA of 3.0 or above is expected for competitive consideration. Must have a portfolio demonstrating projects involving Python , SQL , or Azure data workflows. Must have completed at least one internship or project involving API integration or AI model implementation in a real-world context. Documentation & Portfolio Requirements Your resume must include a clear section on relevant projects with Python , SQL , or Azure components, and must list specific metrics such as accuracy, response time, or data volume processed. For this role, prioritize showcasing a project where you used Python and SQL to analyze transaction data and deployed a LLM agent to automate query responses — this directly aligns with Mastercard ’s operational and AI use cases. Salary for Data Scientist II at Mastercard 💰 Compensation Not Disclosed The advertised compensation for the Data Scientist II role at Mastercard is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Data Scientist II Upskilling with the right resources significantly enhances your chances of selection for this specific role. Recommended Courses & Resources Python — Essential for data manipulation and analysis, a core skill for this role. SQL — Crucial for database management and querying, vital for data-driven decisions. Azure — Familiarity with cloud services is important for deploying data solutions. APIs — Understanding APIs is key for integrating data sources and services. KodNest — A platform to enhance coding skills and work on real-world projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating proficiency in Python — Include relevant projects or coursework. ❌ Using a generic resume — Tailor it to highlight experience aligned with the job responsibilities. ❌ Listing technologies like Azure without practical application — Show real-world usage in previous roles or projects. ❌ Ignoring the experience requirement — Ensure you meet the specified 1-3 years of experience. ❌ Adding unrelated technologies or unsupported claims — Focus on relevant skills and experiences. ❌ Failing to verify the official Apply URL — Always check the job details before submission. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that you meet the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to your resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Data Scientist II Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include Data Scientist Python SQL Azure APIs AI LLM agents Data analysis Data pipelines Collaboration Monitoring Troubleshooting Resume Tips for This Role Highlight your experience with Python prominently, as it is a key requirement. Emphasize your familiarity with SQL and relevant projects. Showcase a project where you used AI or machine learning. Use exact keywords from the job description naturally in your resume. Avoid unsupported claims or technologies that you cannot substantiate. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including unrelated technologies or unsupported claims in your resume for this role. How to Apply for Data Scientist II at Mastercard Apply Now — Mastercard Open the official apply URL and confirm the job title and company is correctly displayed. Prepare a resume that aligns with the required skills, responsibilities, qualifications, and experience for the Data Scientist II role. Complete the official application form accurately, ensuring all information is truthful and avoiding unsupported claims. Submit the application and save the confirmation or application reference number if provided by the portal. Record the application date and monitor the official company portal or registered email for updates. Applications are reviewed on a rolling basis — early submission is recommended. Apply Now — Mastercard NexisGrow.com does not charge any fees for job applications. Mastercard Mastercard is a global technology company in the payments industry . Based in Pune, India , this onsite role supports innovation in data-driven solutions. The company focuses on secure, accessible digital payments for individuals, businesses, and governments worldwide. The Data Scientist II collaborates with engineers and stakeholders to build data-driven solutions. Responsibilities include using Python , SQL , Azure , APIs , and AI to analyze data and develop intelligent systems. This work supports real-time decision-making and service innovation. This role contributes to Mastercard ’s mission of connecting and powering an inclusive digital economy. It enables secure, smart, and accessible transactions through advanced technologies like LLM agents and data analytics. The role offers early-career exposure to AI , LLM agents , and real-world data tools. Candidates gain hands-on experience with Python , SQL , and cloud platforms like Azure in a global technology environment. Company Details Industry Technology Location Pune, India Connect With Us Careers Apply Now Website 🔗 mastercard.wd1.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical background and 1-3 years of experience, including eligible batches from 2023 to 2026. ? What technical skills are most important for this role? Skills Tap to expand + Answer Python, SQL, Azure, APIs, AI, and LLM agents are crucial for this position. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed, which is the only salary information available. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer 1. Review Python and SQL fundamentals. 2. Prepare examples of data analysis projects. 3. Familiarize yourself with Azure. 4. Understand AI concepts. 5. Be ready to discuss collaboration experiences. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is onsite in Pune, India. ? What career exposure can this role provide? Growth Tap to expand + Answer Exposure to data analysis, AI technologies, and collaboration with engineering teams, enhancing technical skills. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight Python, SQL, Azure, data analysis projects, and relevant technical qualifications. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with engineering teams and stakeholders, although specific culture details are not provided. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, as the experience requirement is 1-3 years. 🔗 Explore More on NexisGrow More jobs in Pune Browse all Tech jobs Latest Fresher jobs More jobs at Mastercard Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com