- Paytm Hiring Data Scientist
- Post Name: Data Scientist
- Company: Paytm
- Degree: B.Tech/M.Tech/MCA/MSc (Data Science, Statistics, CS)
- Salary: 10 Lakh – 2.5 Cr/- Annually
- Location: Noida/Bangalore/Hybrid
- Experience: 4- 20 years
Company Overview
Paytm is one of India’s leading digital payments and financial services platforms. Founded in 2010, Paytm revolutionized digital transactions in India by introducing mobile wallets, UPI payments, bill payments, ticket booking, and financial services including lending, insurance, and wealth management.
With millions of active users and merchants across the country, Paytm continues to innovate in fintech by leveraging artificial intelligence, big data, and machine learning technologies. The company focuses on delivering secure, seamless, and scalable digital financial solutions.
Job Description: Paytm Hiring Data Scientist
Paytm is hiring talented data scientists to analyze large datasets, build predictive models, and make data-driven decisions across business operations. The Data Scientist will be responsible for extracting insights from complex data, designing machine learning models, and improving customer experience through analytics.
In this role, you will collaborate with product managers, engineers, risk analysts, and business stakeholders to solve real-world problems using advanced statistical and machine learning techniques. You will work on areas such as fraud detection, customer segmentation, recommendation systems, credit risk modeling, and performance optimization.
Key Responsibilities
- Analyze large datasets to identify trends and patterns
- Develop and deploy machine learning models
- Perform data cleaning and feature engineering
- Create predictive and prescriptive analytics solutions
- Collaborate with cross-functional teams
- Present insights to business stakeholders
- Optimize algorithms for performance and scalability
- A/B test and experiment
- Ensure data accuracy and governance
- Monitor and improve model performance
Eligibility/Criteria
| Requirement | Details |
|---|---|
| Education | B.Tech / M.Tech / MSc in Data Science or related field |
| Experience | 2–6 years in Data Science or Analytics |
| Programming | Python / R required |
| Database | SQL proficiency |
| ML Frameworks | TensorFlow, Scikit-learn, PyTorch |
| Statistics | Strong statistical knowledge |
| Big Data | Hadoop / Spark (preferred) |
| Cloud | AWS / GCP / Azure knowledge |
| Communication | Ability to explain data insights clearly |
| Problem-Solving | Strong analytical mindset |
salary and benefits
- Competitive salary package
- Performance-Based Bonus
- health insurance coverage
- Paid Holidays and Vacation Benefits
- Learning and Certification Program
- hybrid work model
- Exposure to Fintech Innovation
- career development opportunities
- Employee Welfare Initiative
- Dynamic and collaborative work culture
interview process
- online application submission
- HR Screening Round
- Technical Assessment (Coding/Case Study)
- Data Science Interview (ML & Statistics)
- managerial phase
- Final HR Discussion and Proposal Letter
Required Documents
- Updated Resume/CV
- Government-issued photo ID
- educational certificate
- experience letter
- passport-size photo
How to apply
Interested candidates can apply through the official Paytm Careers website or major job portals. Search for “Data Scientist” positions and carefully review the job requirements before submitting your application.
Applicants should highlight their experience in machine learning projects, predictive modeling, data visualization, and analytics tools. Including measurable achievements such as improved model accuracy, fraud reduction percentage, or revenue growth impact will increase the chances of shortlisting.
FAQ
1. Is prior fintech experience required?
Not mandatory, but experience in FinTech or BFSI is preferred.
2. Is this a field-based role?
Yes, the role involves managing on-ground sales operations.
3. What incentives are provided?
Yes, performance-based incentives are included.
4. Is travel necessary?
Yes, it is necessary to travel within the designated cluster.
5. What is the career development path?
Cluster leads can grow into the role of regional manager or regional head.
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