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Salary

₹1,500,000 - ₹2,500,000 / year

Job Type

full-time

Location

Bangalore

Experience

3-6 years

Job Description

PhonePe is hiring Data Scientists to build ML models for fraud detection, personalization, and business intelligence.

As a Data Scientist at PhonePe in Bangalore, you will apply advanced machine learning and statistical techniques to solve critical problems in digital payments, financial services, and insurance. This full-time role sits at the intersection of technology and business, where your models directly influence product features, risk management, and customer experience for hundreds of millions of users.

You will work with large-scale transactional data, design experiments, build predictive models, and deploy solutions into production systems. The team values rigorous methodology, reproducibility, and clear communication of results. PhonePe offers a high-impact, fast-paced environment with competitive compensation, stock options, and the opportunity to shape the future of digital finance in India.

PhonePe, processing billions of UPI transactions monthly, is at the heart of India's digital payments revolution with opportunities in cutting-edge fintech.

This is a full-time position offering comprehensive benefits including health insurance, provident fund contributions, and paid leave. The role provides a clear career progression path with annual performance reviews and merit-based promotions. The compensation range for this position is INR 15 - 25 LPA, commensurate with experience and qualifications.

The ideal candidate will be based in or willing to relocate to Bangalore, bringing 3-6 years of relevant industry experience. You will join a collaborative team focused on delivering impactful results while developing your professional expertise in a supportive environment.

Requirements

  • 3-6 years data science experience
  • Strong Python and ML skills
  • Experience with large-scale data
  • Deep understanding of supervised and unsupervised learning algorithms, ensemble methods, and deep learning
  • Experience with big data tools such as Apache Spark, Hive, or similar distributed processing frameworks
  • Ability to design and analyze A/B tests with statistical rigor
  • Familiarity with model deployment pipelines including MLflow, Kubeflow, or equivalent MLOps tools
Willingness to learn new technologies and adapt to evolving business needs Excellent written and verbal communication skills in English Bachelor's degree or equivalent from a recognized university Proficiency in Python, Machine Learning, TensorFlow is essential for success in this role Familiarity with SQL and Spark would be an added advantage

Responsibilities

  • Build and deploy ML models
  • Analyze user behavior patterns
  • Drive data-driven decisions
  • Collaborate with product and engineering teams to integrate ML solutions into live products
  • Monitor model performance in production and retrain models as data distributions shift
  • Present technical findings and business impact to leadership through clear visualizations and reports
  • Mentor junior data scientists and contribute to building the team's technical capabilities
Ensure compliance with company policies, security standards, and regulatory requirements Document processes, workflows, and technical specifications for knowledge sharing Participate in regular team meetings, stand-ups, and sprint planning sessions Analyze data and metrics to identify opportunities for process optimization

Skills Required

Python Machine Learning TensorFlow SQL Spark
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Company Information

PhonePe

PhonePe

  • Bangalore
  • Company Website
  • IT & Software
  • Posted: Mar 31, 2026
  • Deadline: Jun 23, 2026
Apply Now

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