Data Scientist Opportunity 2025 | PhonePe is hiring Data Scientist . The working location is Bangalore, India. Interested candidates can apply online as soon as possible. The detailed eligibility and application process are given below.
Data Scientist Job Openings At PhonePe | Bangalore – Overview
Company Name: | PhonePe |
Job Role: | Data Scientist |
Location: | Bangalore |
Work Mode: | On-site |
Last Date to Apply: | ASAP |
Job Description
- PhonePe is India’s leading digital payments company with 50 crore (500 Million) registered users and 3.7 crore (37 Million) merchants covering over 99% of the postal codes across India. On the back of its leadership in digital payments, PhonePe has expanded into financial services (Insurance, Mutual Funds, Stock Broking, and Lending) as well as adjacent tech-enabled businesses such as Pincode for hyperlocal shopping and Indus App Store which is India’s first localized App Store. The PhonePe Group is a portfolio of businesses 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.
Skills Required:
- 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
Responsibility
- – 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