Data Scientist

bal, national and enterprise payment platforms, and has presence in four continents. The product suite combines with knowledge systems built over 30 years, delivering mission-critical payment solutions that combine innovation and entrepreneurship to create the new gold standard for digital payments. With approximately 40% of the global digital payment volumes in 2021 processed on platforms built by RS Software, the vision is to deliver Payments at the Speed of Thought.

• Instant digital payment platform (UPI)
• Bill payment platform - Bharat Bill Payment System (BBPS)
• Enterprise Fraud and Risk Management (EFRM)

Why RS Software

• RS provides a unique experience of engaging in some world class product development and prestigious large scale payment platforms that caters to billions of people
• We provide opportunity to learn and develop high throughput transaction processing systems
• RS Software is one of the few technology and payment solutions providers where talented individuals have the opportunity to work on cutting-edge, complex, and mission-critical IT projects. We offer ample career opportunities to hardworking and skilled employees.
• Our Talent Management Program is specifically designed to identify the interests of each employee and match them with suitable career paths within their desired domains, allowing them to make the best possible use of their skillsets in reaching their goals.
• We invest in the knowledge and skill development of our employees with RS School of Payments the industry s most comprehensive training platform. There are three main areas of focus that the Academy and School address: current technology skills, professional development and payments domain knowledge.
• Our customized training program, well-defined career mapping process and comprehensive appraisal system is designed to help every employee achieve their goals.
• To address the challenges of relocation, we offer employees coming from other regions reimbursement for expenses associated with their moves as well as complimentary interim facilities, such as guesthouse accommodations, to ease the transition. We also assist employees with finding suitable housing.

Role Overview: Key Responsibilities:

• Develop and deploy machine learning models for fraud detection, stream analytics, and predictive use cases
• Create and maintain data pipelines to support machine learning model development
• Analyse transaction data to identify patterns and deviations that indicate potential fraud
• Design and implement models to analyse and predict behaviours in the digital payments domain
• Collaborate with cross-functional teams to streamline user workflows using Generative AI (Gen AI)
• Develop a comprehensive dashboard for real-time monitoring of fraud patterns and model performance
• Enhance and maintain the model studio, enabling business users to train and deploy models autonomously
• Work on end-to-end machine learning pipelines to bring models to production, ensuring scalability and performance

Required Skills:

• Proficiency in SQL for data manipulation and understanding relational database concepts (e.g., MySQL, PostgreSQL)
• Ability to integrate and consume data using REST APIs, with familiarity in API best practices and testing
• Skilled in Python for data analysis, machine learning, and API interaction, with experience in libraries like Pandas, NumPy, and Scikit-learn
• Hands-on experience designing, developing, and deploying machine learning models for fraud detection, stream analytics or predictive use cases
• Strong proficiency in data analysis, feature engineering, and model optimization techniques
• Working knowledge of Java and SpringBoot for model integration
• Strong understanding of digital payment systems, fraud patterns, and risk analysis
• Experience working with Gen AI to improve workflows and user experiences
• Ability to work on large datasets and create scalable data pipelines
• Excellent communication skills and a proactive, problem-solving mindset
• Ability to work in a collaborative team environment and take initiative on projects

Preferred Skills:

• Exposure to fraud detection algorithms and techniques used in the digital payments industry
• Experience working with cloud technologies such as AWS. Azure, GCP is not mandatory but a plus
• Knowledge of data visualization and dashboard tools for reporting model performance