Data Scientist - Fraud AI Products 1 (Gurgaon, IN)
Gurugram, Haryana
About the role
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About Us Open Jobs Language English (United Kingdom) Candidate Login Select how often (in days) to receive an alert: Create Alert × Select how often (in days) to receive an alert: Apply now » Data Scientist - Fraud AI Products 1 Role: Data Scientist – AI Products Company: PayU India Innovations Pvt Ltd Location: Gurgaon / Bangalore About PayU: PayU is the fintech and payments arm of Naspers - A global consumer internet group with market value of USD 100 bn and one of the largest technology investors in the world. The Group's businesses serve more than 1.5 billion people in 89 markets and are the market leaders in 77 of those markets. Operations of PayU span globally across 18 growth markets in Asia, Central and Eastern Europe, Latin America, the Middle East and Africa where it empowers billions of people and millions of merchants to buy and sell online, extending the reach of financial services. PayU India is one of the leading payment service providers, operating in one of the fastest growing industry in India, a high growth economy. The company offers more than 70 local payment methods and serves more than 350,000 merchants including leading e-commerce businesses in India. PayU Group including PayU Finance, a non-banking finance company, also enables credit to consumers and small businesses thus extending the reach of financial services.
The Team Our AI product team develops multitude of advanced solutions like recommendation engine, fraud detection models, parser tools and strategies based on billions of transactions in India, usage behaviour across thousands of apps, interactions across different platforms like social media, e-commerce etc.
The role is with the PayU Innovations team, with specific focus on creating solutions leveraging PayU data and its partners data to help 250+ businesses in India with new user acquisition strategy and existing customer management like credit underwriting, up-sell / cross-sell, prevention of fraud and expansion. Example use cases are: Predicting early claim on synthetic id for a life insurance player at the policy issuance stage Builing GenAI powered ad-tech platform to optimize content generation, campaign performance Generating business growth and risk oriented based insights from SMS data using LLM Stopping fraudsters from using deepfakes to gain unauthorized access to an online account Creating document forensics tool to Identify forged / tampered documents to solve for KYC fraud Joining our AI Products team offers you the chance to make a direct monetary impact to wide range of businesses in a rapidly growing market while working on advanced and cutting-edge data science techniques. The Opportunity: Work with a talented group of data scientists, software developers and product owners to identify possible applications for AI and machine learning Create strategy, design, and build generative AI solutions across multiple use-cases and on various types of data (numeric, text, audio, video, image). Architect, train, and fine-tune AI/ML models, including LLMs, GANs, and deep learning frameworks (TensorFlow, PyTorch, JAX, etc.) Optimize AI / ML pipelines for performance, efficiency, and scalability in production environments Work closely with engineering, product, and business teams to integrate AI into SaaS products Act as a bridge between technical teams and business stakeholders, ensuring alignment of AI initiatives with strategic goals. Work with clients to test proof of concept and assist in the final implementation of the solution. Opportunity to work on exceptional projects using cutting edge technology in a big data environment Stay updated with emerging techniques, progressively enhance your skills in the data science space.
Requirements to be successful in this role: A degree in Statistics, Data Science, Maths or other similar quantitative field from a premier institute. Should have 3+ years of work experience in building data science solutions Strong experience with ML/AI techniques including supervised and unsupervised learning algorithms, anomaly detection, ensemble methods, and deep learning frameworks (TensorFlow, PyTorch, scikit-learn) Hands-on experience with data pipelines, MLOps, and AI model optimization and strong coding skills in Python. Excellent communication and stakeholder management skills and demonstrated focus for client / customer satisfaction Strong problem-solving skills with the ability to understand and execute complex analysis Detail oriented with strong organizational skills. Ability to function in a high volume setting with tight deadlines Our Commitment to Building A Diverse and Inclusive Workforce We continuously strive to create a diverse, inclusive, and safe environment, for all our people, communities, and customers. Our leaders are committed to create an inclusive work culture which enables transparency, flexibility, and unbiased attention to every PayUneer so they can succeed, irrespective of gender, color, or personal faith. An environment where every person feels they belong, that they are listened to, and where they are empowered to speak up. Inspired? Are you ready to utilize your skills and expertise to build value and enrich communities across the globe? Engage with us to discuss further! Apply now » Find similar jobs: . Copyright 2025 PayU. All rights reserved / Privacy / Terms of use × Cookie Consent Manager When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. Because we respect your right to privacy, you can choose not to allow some types of cookies. However, blocking some types of cookies may impact your experience of the site and the services we are able to offer. Required Cookies These cookies are required to use this website and can't be turned off. Required Cookies Show More Details Required Cookies Provider Description Enabled SAP as service provider We use the following session cookies, which are all required to enable the website to function: "route" is used for session stickiness "careerSiteCompanyId" is used to send the request to the correct data centre "JSESSIONID" is placed on the visitor's device during the session so the server can identify the visitor "Load balancer cookie" (actual cookie name may vary) prevents a visitor from bouncing from one instance to another Cookies from provider SAPasserviceprovider are required and cannot be turned off Confirm My Choices Reject All Cookies Accept All Cookies
