Job Description

About PhonePe Limited:

Headquartered in India, its flagship product, the PhonePe digital payments app, was launched in Aug 2016. As of April 2025, PhonePe has over 60 Crore (600 Million) registered users and a digital payments acceptance network spread across over 4 Crore (40+ million) merchants. PhonePe also processes over 33 Crore (330+ Million) transactions daily with an Annualized Total Payment Value (TPV) of over INR 150 lakh crore.





PhonePe's portfolio of businesses includes the distribution of financial products (Insurance, Lending, and Wealth) as well as new consumer tech businesses (Pincode - hyperlocal e-commerce and Indus AppStore Localized App Store for the Android ecosystem) in India, which are aligned with the company's vision to offer every Indian an equal opportunity to accelerate their progress by unlocking the flow of money and access to services.

Culture:

At PhonePe, we go the extra mile to make sure you can bring your best self to work, Everyday!. And that starts with creating the right environment for you. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one. PhonePe-rs solve complex problems and execute quickly; often building frameworks from scratch. If you're excited by the idea of building platforms that touch millions, ideating with some of the best minds in the country and executing on your dreams with purpose and speed, join us!

We are seeking a motivated and skilled Data Scientist with 3 years of experience to join our dynamic team. The ideal candidate will have a strong foundation in machine learning, with a focus on implementing algorithms at scale. Additionally, knowledge of computer vision and natural language processing will be ideal

Key Responsibilities:

Develop and implement machine learning models, offline batch models as well as real time online and edge compute models

Analyze complex datasets and extract meaningful insights to drive business decisions

Collaborate with cross-functional teams to identify and solve business problems using data-driven approaches

Communicate findings and recommendations to stakeholders effectively

Required Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field

3+ years of experience in a Data Scientist role

Strong proficiency in Python and SQL

Solid understanding of machine learning algorithms and statistical modeling techniques

Knowledge of Natural Language Processing (NLP) and Computer Vision (CV) concepts and algorithms

Hands-on experience implementing and deploying machine learning algorithms

Experience with data visualization tools and techniques

Strong analytical and problem-solving skills

Excellent communication skills, both written and verbal

Preferred Qualifications:

Experience with PySpark and other big data processing frameworks

Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch)

Technical Skills:

Programming Languages: Python (required), SQL (required), Java (basic knowledge preferred)

Machine Learning: Strong foundation in traditional ML algorithms, and a working knowledge of NLP and Computer Vision

Big Data: Deep knowledge of PySpark

Data Storage and Retrieval: Familiarity with databases/mlflow preferred

Mathematics: Strong background in statistics, linear algebra, and probability theory

Version Control: Git

Soft Skills:

Excellent communication skills to facilitate interactions with stakeholders

Ability to explain complex technical concepts to non-technical audiences

Strong problem-solving and analytical thinking

Self-motivated and able to work independently as well as in a team environment

Curiosity and eagerness to learn new technologies and methodologies


We're looking for a motivated individual who is passionate about data science and eager to take on challenging tasks. If you thrive in a fast-paced environment and are excited about leveraging cutting-edge technologies in machine learning to solve real-world problems, we encourage you to apply!

PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles)

Insurance Benefits -

Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance

Wellness Program -

Employee Assistance Program, Onsite Medical Center, Emergency Support System

Parental Support -

Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program

Mobility Benefits -

Relocation benefits, Transfer Support Policy, Travel Policy

Retirement Benefits -

Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment

Other Benefits -

Higher Education Assistance, Car Lease, Salary Advance Policy

Our inclusive culture promotes individual expression, creativity, innovation, and achievement and in turn helps us better understand and serve our customers. We see ourselves as a place for intellectual curiosity, ideas and debates, where diverse perspectives lead to deeper understanding and better quality results. PhonePe is an equal opportunity employer and is committed to treating all its employees and job applicants equally; regardless of gender, sexual preference, religion, race, color or disability. If you have a disability or special need that requires assistance or reasonable accommodation, during the application and hiring process, including support for the interview or onboarding process,

please fill out this form.

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