Data Scientist I at Mastercard — Mastercard | Tech Job

📋 Job Details at a Glance 📍 Location Pune, Maharashtra, India 🏢 Company Mastercard 👥 Experience 0-2 years 🎓 Qualification Hands-on with Python, AWS, Azure, APIs, CI/CD, TensorFlow, PyTorch. Relevant technical qualification and demonstrated shipping experience 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python AWS Azure APIs CI/CD TensorFlow PyTorch Data Scientist I at Mastercard — Full Details & How to Apply Mastercard is seeking a Data Scientist I in Pune, Maharashtra , to implement generative AI models for AML transaction monitoring. This role is ideal for candidates with hands-on experience in Python and cloud platforms. The Data Scientist I role is crucial for developing AI-driven solutions that enhance Mastercard's risk and compliance initiatives, particularly in transaction monitoring. As the demand for advanced analytics in the technology sector grows, this position offers a unique chance to contribute to innovative projects that shape the future of financial services. Mastercard is a leading technology company specializing in payment solutions and financial services. With a commitment to leveraging cutting-edge technology, Mastercard is at the forefront of integrating machine learning solutions that address complex challenges in the industry. This position is suitable for candidates with a relevant technical qualification and 0-2 years experience , specifically from the eligible batches of 2023, 2024, 2025, and 2026 . Candidates should be hands-on with Python, AWS, Azure, APIs, CI/CD, TensorFlow, PyTorch . The salary for this role is Not Disclosed . In this role, you will gain practical exposure to technologies such as Python , AWS , Azure , and machine learning frameworks like TensorFlow and PyTorch . This experience will open doors to advanced career opportunities in data science and analytics, positioning you for future roles in high-demand sectors. 📊 Role Difficulty: Low | Competition Level: Medium | Fresher Friendly: Yes 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. Job Role & Responsibilities The core mission of the Data Scientist I at Mastercard is to implement advanced generative AI models that enhance anti-money laundering (AML) transaction monitoring processes, ensuring robust data analysis and model performance. Implement generative AI models to enhance AML transaction monitoring processes using Python for algorithm development. Utilize AWS and Azure to develop and deploy machine learning solutions that optimize data processing. Collaborate with engineering and operations teams to integrate AI-driven systems, leveraging APIs for seamless communication. Monitor and analyze data performance metrics to ensure the effectiveness of machine learning models using Python . Maintain and support existing codebases related to AI and data science projects, ensuring code quality and performance. Document processes and results to improve transparency and knowledge sharing among teams, utilizing CI/CD practices. Troubleshoot issues related to AI models and provide solutions to enhance performance, focusing on TensorFlow and PyTorch . This role fosters an ownership culture, allowing you to directly impact the effectiveness of AML processes through innovative AI solutions. Required Skills & Technical Competencies The skill profile for this role emphasizes proficiency in key technologies essential for developing and deploying machine learning solutions. Technical Skills Python — entry — essential for developing machine learning models and implementing algorithms in this role. AWS — entry — critical for deploying cloud-based solutions and managing resources effectively. Azure — entry — utilized for developing and deploying scalable machine learning applications. APIs — entry — important for integrating and deploying applications in a streamlined manner. CI/CD — entry — necessary for maintaining efficient deployment pipelines for machine learning models. TensorFlow — entry — required for building and training machine learning models effectively. PyTorch — entry — utilized for developing and optimizing deep learning models. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency with each technology. Eligibility Criteria This role is designed for recent graduates and early-career professionals eager to start their journey in data science and AI. A relevant technical qualification is required to understand AI and data science complexities. Eligible batches include 2023 , 2024 , 2025 , and 2026 . Experience requirement is 0-2 years , explicitly accepting freshers. Academic performance requirements are not specified in the job posting. Projects, GitHub contributions, internships, or certifications are not specified but can enhance your application. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant projects and technical skills. Include links to any GitHub repositories or portfolios showcasing your work. Pro tip: Tailor your application to emphasize your hands-on experience with Python and cloud platforms like AWS and Azure to stand out. Salary for Data Scientist I at Mastercard 💰 Compensation Not Disclosed The advertised compensation for the Data Scientist I 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 I Upskilling with the right resources significantly enhances your chances of selection for the Data Scientist I role at Mastercard . Recommended Courses & Resources Python — Essential for data manipulation and analysis in this role. AWS — Crucial for cloud-based data solutions and deployment. Azure — Important for managing data and machine learning services. APIs — Vital for integrating and accessing data sources effectively. KodNest — Provides hands-on projects to enhance your practical skills. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without showing evidence of proficiency in Python — Include specific projects or coursework. ❌ Using a generic resume — Align experience with the specific responsibilities listed in the job description. ❌ Listing technologies like TensorFlow or PyTorch without context — Provide details on where they were applied in projects or internships. ❌ Ignoring the qualification and experience requirements — Ensure you meet the specified criteria. ❌ Adding unrelated technologies or unsupported claims — Focus on relevant skills and experiences. ❌ Applying without verifying 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 the candidate meets the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to the 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 I Optimizing your resume for ATS is crucial for securing the Data Scientist I role at Mastercard . ATS Keywords to Include Python AWS Azure APIs CI/CD TensorFlow PyTorch generative AI machine learning AML data science computer vision Resume Tips for This Role Highlight your proficiency in Python prominently on your resume. Emphasize experience with AWS and Azure, showcasing relevant projects. Include a project involving generative AI or machine learning. Use exact keywords from the job description naturally. Avoid unsupported claims about technologies or experiences. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Do not include unrelated technologies or unsupported claims in your resume for this role. How to Apply for Data Scientist I at Mastercard Apply Now — Mastercard Open the supplied official Apply URL and confirm the job title and company. Prepare a resume aligned with the supplied skills, responsibilities, qualification, and experience requirement. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if the portal provides one. Record the application date and monitor the official company portal or registered email for updates. Applications reviewed on rolling basis — early submission recommended. Apply Now — Mastercard NexisGrow.com does not charge any fees for job applications. Mastercard Mastercard , founded in 1966 , is headquartered in Purchase, New York, and operates in over 210 countries. With a workforce of approximately 24,000 employees , the company has established a significant global footprint, processing billions of transactions annually. Its extensive network connects consumers, financial institutions, and businesses, facilitating seamless payment solutions worldwide. At the forefront of financial technology, Mastercard offers a range of products and services, including Mastercard Payment Gateway and Mastercard Send . The company is also heavily invested in AI and data solutions, focusing on risk and compliance through advanced machine learning techniques. These innovations are pivotal in enhancing security and efficiency in digital transactions. Mastercard fosters a culture of innovation and collaboration, recognized by various accolades such as being listed in the Fortune 100 Best Companies to Work For . Employee programs emphasize diversity and inclusion, with initiatives aimed at creating a supportive work environment. The company actively promotes professional development through mentorship and training programs. Recently, Mastercard has expanded its capabilities by acquiring Finicity , enhancing its data aggregation and analytics services. This strategic move aligns with the company's commitment to leveraging technology for better financial insights. Additionally, Mastercard has launched initiatives focusing on AI-driven content generation and computer vision systems, further solidifying its position in the tech landscape. For freshers in technology, Mastercard offers a robust career launchpad, providing exposure to cutting-edge technologies like TensorFlow and PyTorch . The opportunity to collaborate with engineers and operations teams allows new talent to gain invaluable experience in AI and data science methodologies. This environment nurtures growth and innovation, making it an ideal place for aspiring professionals. Company Details Industry Technology Location Pune, Maharashtra, India Connect With Us Careers Apply Now Website 🔗 mastercard.wd1.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Scientist I at Mastercard? Eligibility Tap to expand + Answer Candidates with Hands-on with Python, AWS, Azure, APIs, CI/CD, TensorFlow, PyTorch. Relevant technical qualification and demonstrated shipping experience and 0-2 years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, AWS, Azure, APIs, CI/CD. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: Not Disclosed. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Mastercard? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Python, AWS, Azure, APIs, CI/CD. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Data Scientist I interview? Preparation Tap to expand + Answer (1) Core concepts of Python, AWS, Azure, APIs, CI/CD, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Mastercard research, (5) Clear communication. ? What is the work culture like at Mastercard? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. 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