PhonePe is hiring for an FRESHER entry level Data Scientist role in India

"The opening was closed just 15 minutes after it was posted."

Position:

• Data Scientist, entry level role designed for individuals beginning their professional journey in the data science domain
• Opportunity to work on real world financial services problems using advanced analytics and machine learning
• Involves collaboration with multiple teams to solve business problems using data driven approaches
• Focus on building, testing, and improving scalable models and data driven solutions
• Role emphasizes both technical skills and business understanding
• Encourages ownership from day one, allowing individuals to take responsibility for projects and outcomes
• Exposure to large scale systems that handle millions of users and transactions daily

Company:

• PhonePe Limited
• A leading digital payments and financial services company headquartered in India
• Known for its flagship digital payments application launched in August 2016
• The platform has achieved massive adoption with hundreds of millions of registered users
• Strong presence in merchant payments ecosystem with millions of businesses onboarded
• Offers a wide range of financial products including insurance, lending, and wealth solutions
• Also expanding into consumer technology platforms such as hyperlocal commerce and mobile app ecosystems
• Focused on enabling financial inclusion and accessibility for users across India
• A fast growing organization driven by innovation, technology, and user centric solutions

Location:

• Bangalore, India
• One of the leading technology hubs in the country
• Provides exposure to a strong ecosystem of startups, technology companies, and innovation driven environments
• Opportunity to work in a collaborative and fast paced office environment

Job type:

• Full time employment
• Permanent role with long term growth opportunities
• Includes access to employee benefits and organizational programs

Job mode:

• Onsite role
• Requires working from the company office in Bangalore
• Encourages in person collaboration with cross functional teams

Job requisition id:

• Not explicitly mentioned, assumed to be managed internally within the company hiring system

Years of experience:

• 0 to 1 year of relevant experience
• Suitable for fresh graduates or candidates with limited professional exposure
• Open to candidates who have strong foundational knowledge and practical project experience

Company description:

• PhonePe Limited is one of India’s most recognized digital payment platforms, playing a key role in transforming the way financial transactions are conducted across the country
• Since its launch, the company has built a large user base, enabling seamless digital payments for individuals and businesses
• The platform supports a wide variety of payment methods and services, making it accessible to users across different regions and demographics
• With millions of merchants integrated into its ecosystem, PhonePe has significantly contributed to the growth of digital commerce in India
• The company has expanded beyond payments into financial services such as insurance, lending, and wealth management, providing users with a complete financial ecosystem
• It has also entered the consumer technology space with innovative platforms aimed at improving accessibility and user experience
• PhonePe operates with a vision of empowering individuals by enabling easy access to financial tools and services
• The organization focuses on building scalable systems that can handle high transaction volumes efficiently
• It promotes a culture of innovation, where employees are encouraged to experiment, learn, and solve complex challenges
• With a strong emphasis on technology and user experience, PhonePe continues to drive digital transformation across industries

Profile overview:

• This role is designed for individuals who are passionate about data science and want to build a career in solving real world problems using data
• The candidate will work closely with product, engineering, and business teams to develop insights and solutions that enhance user experience
• The role involves handling large datasets, performing analysis, and building predictive models
• Candidates will be expected to understand business requirements and translate them into data driven strategies
• Strong communication skills are essential as the role requires presenting findings and recommendations to stakeholders
• The position provides an opportunity to work on high impact projects that directly affect millions of users
• Candidates will gain exposure to various stages of the data science lifecycle including data collection, preprocessing, modeling, evaluation, and deployment
• The role also includes continuous monitoring and improvement of models to ensure optimal performance
• Individuals will be encouraged to think critically and approach problems with a solution oriented mindset
• The position offers mentorship opportunities, allowing candidates to learn from experienced professionals and grow their skills

Responsibilities:

• Collaborate with product, business, and engineering teams to identify opportunities where data science can add value
• Analyze large datasets to uncover patterns, trends, and insights that can drive decision making
• Build and implement machine learning models for various applications related to financial services
• Develop scalable data pipelines and ensure efficient data processing
• Communicate findings clearly to both technical and non technical stakeholders
• Translate complex data insights into actionable business recommendations
• Continuously evaluate model performance and make improvements based on feedback and results
• Work on experimentation frameworks to test hypotheses and validate solutions
• Ensure data quality and integrity throughout the analysis process
• Contribute to the development of best practices and frameworks within the data science team
• Stay updated with the latest tools, technologies, and methodologies in data science
• Support and collaborate with team members to achieve common goals

Qualifications:

• Bachelor’s degree or higher in a quantitative field such as computer science, statistics, engineering, or applied mathematics
• Strong understanding of programming languages such as Python, Java, or R
• Familiarity with database systems including relational and non relational databases
• Knowledge of data structures and algorithms
• Basic understanding of machine learning concepts and techniques
• Exposure to data visualization tools and libraries
• Ability to write efficient and optimized code
• Strong analytical and problem solving skills
• Good communication skills to interact with diverse teams
• Understanding of business concepts and their application in data science
• Ability to work independently as well as in a team environment
• Willingness to learn and adapt to new technologies and tools

Technical skills:

• Proficiency in programming languages such as Python, Java, and R
• Experience with database querying using SQL and other query languages
• Familiarity with big data tools such as Spark, Hive, Pig, and MapReduce
• Knowledge of machine learning libraries and frameworks
• Understanding of deep learning frameworks such as TensorFlow and PyTorch
• Experience with data visualization libraries for presenting insights
• Exposure to handling structured and unstructured data
• Basic understanding of deployment and version control tools such as Git and Jenkins

Additional info:

• Employees receive a range of benefits including medical and life insurance coverage
• Wellness programs are available to support physical and mental health
• Parental support initiatives include maternity and paternity benefits as well as childcare assistance
• Mobility benefits such as relocation support and travel policies are provided
• Retirement benefits include provident fund contributions and other savings options
• Opportunities for higher education support and professional development
• Inclusive work culture that encourages diversity and equal opportunity
• Employees are encouraged to express ideas and contribute to innovation
• Support is provided for individuals requiring accommodations during hiring or employment
• The company promotes a collaborative environment where different perspectives are valued
• Strong emphasis on employee growth, learning, and career progression

"The opening was closed just 15 minutes after it was posted."

Please click here to apply.