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- Location
- Bengaluru
- Level
- Mid-level
- Experience
- 3–5 years
- Pay
- Not listed
- Workplace
- On-site
- Posted
- 18 days ago
- Status
- Open · checked 11h ago
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Skills mentioned in the posting
- Android
- Machine Learning
- Python
- SQL
- PySpark
- Deep Learning
- TensorFlow
- PyTorch
- Computer Vision
- MLOps
About the role
PhonePe Limited (Formerly PhonePe Private Limited) is a technology company that builds digital platforms for Payments, Digital Distribution Services and Financial Services. Headquartered in India, the PhonePe digital payments app was launched in 2016. As of April 2026, PhonePe has over 70 Crore life-till-date registered users and a digital payments acceptance network spread across over 5 Crore merchants. PhonePe’s products and services include Consumer Payments (including Digital Distribution Services), Merchant Payments, Lending and Insurance Distribution services, and New Platforms, which comprise Share.Market (stock broking and mutual funds distribution platform), and Indus Appstore (Android-based mobile app marketplace). 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!
PhonePe is seeking a highly analytical and driven Data Scientist to join our team. This role requires a minimum of one year of professional experience and a robust foundation in scalable machine learning implementations.
The successful candidate will play a pivotal role in designing and deploying sophisticated models that drive strategic business initiatives.
Core Responsibilities
- Model Development & Deployment: Design, develop, and deploy scalable machine learning models across diverse environments, encompassing offline batch processing, real-time online systems, and edge computing architectures.
- Advanced Analytics: Conduct rigorous analysis of complex, high-volume datasets to extract actionable insights and inform strategic business decisions.
- Cross-Functional Collaboration: Partner with engineering, product, and business stakeholders to define core challenges and formulate robust, data-driven solutions.
- Technical Communication: Synthesize and present complex quantitative findings, methodologies, and strategic recommendations to both technical and non-technical executive stakeholders.
Required Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a closely related quantitative discipline.
- Experience: A minimum of 3 to 5 years of professional experience in a Data Scientist capacity, with a track record of deploying machine learning algorithms into production environments.
- Core Languages: Advanced proficiency in Python and SQL.
- Analytical Foundations: Deep conceptual and practical understanding of traditional machine learning algorithms, statistical modeling, linear algebra, and probability theory.
- Problem Solving: Exceptional analytical reasoning, with the ability to operate independently and navigate ambiguous data challenges.
- Communication: Outstanding written and verbal communication skills, tailored to diverse professional audiences.
Preferred Qualifications & Technical Competencies
Candidates possessing the following supplementary skills will be given strong consideration:
- Big Data & Distributed Computing: Deep knowledge and practical experience with PySpark and other big data processing frameworks.
- Deep Learning: Proficiency leveraging neural network frameworks such as TensorFlow or PyTorch.
- Computer Vision: Working knowledge of Computer Vision concepts and algorithms.
- MLOps & Infrastructure: Familiarity with model lifecycle management tools (e.g., MLflow) and modern database architectures.
- Programming & Tools: Foundational knowledge of Java and experience with version control systems (Git).
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
Read more about PhonePe on our blog.
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About PhonePe, diversity & equal opportunity
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.