Phonepe

Data Scientist

Phonepe
Bengaluru/Bangalore
Not disclosed
Work from OfficeWork from Office
Full TimeFull Time
Any experienceAny experience

Job Description

Data Scientist (0 to 1 Year)

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!

Responsibilities

We plan to expand our data science team, and we are looking for senior data scientists who will work on applications related to financial services. They will work in a dynamic environment, and with cross-functional teams to assist those teams in every possible manner to ensure that our products help our users derive most value. They will be expected to work with product, business, & engineering teams to

  • Help them understand what data science can do for them and set the right expectations,
  • Analyze large volumes of data, and implement and deploy solutions as necessary,
  • Be able to clearly communicate results and recommendations to various stakeholders,
  • Evaluate the effectiveness of the solutions and improve upon them in a continuous manner.
  • We expect them to have a mix of a strong technical background, the ability to understand the business implications of their work, and the ability to empathize with our users and work towards helping PhonePe give them the best experience, and help and mentor junior members to become better data scientists.

Qualifications

  • A Bachelor's or higher degree in a quantitative discipline (computer science, statistics,
    engineering, applied mathematics)
  • 0 to1 yrs of relevant experience.
  • Specific technical skills include
    o Expertise in Java, Python, R, shell scripting languages.
    o Expertise in querying relational, non-relational, graph databases.
    o Ability to clearly communicate and work with people of different backgrounds.
    o Experience in big data technologies (Spark, MapReduce, Pig, Hive)
    o Experience using machine learning (structured, text, video data) libraries
    (preferably in Python), deep learning (Tensorflow, PyTorch)
    o Experience using visualization libraries
  • Good to have: Hands-on experience with source control and deployment tools (Git,
    Jenkins, etc.)

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.

Read more about PhonePe on our blog.

Life at PhonePe

PhonePe in the news

Experience Level

Senior Level

Job role

Work location
Work locationBangalore
Department
DepartmentData Science & Analytics
Role / Category
Role / CategoryData Science & Machine Learning
Employment type
Employment typeFull Time
Shift
ShiftDay Shift

Job requirements

Experience
ExperienceAny experience

About company

Name
NamePhonepe
Job posted by Phonepe

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