Data Scientist (6 to 8 Years) at PhonePe

Bengaluru, Karnataka, India

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

FintechIndustries

Requirements

Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (Ph.D. preferred but not mandatory)
6+ years of experience in data science, machine learning, or applied statistics
Experience in financial services, fintech, e-commerce, or similar data-driven industries
Strong expertise in Python, SQL with proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn
Solid understanding of big data technologies (Spark, PySpark, Hadoop, or similar)
Hands-on experience in model deployment using cloud platforms (AWS, GCP, Azure) and ML Ops frameworks (MLflow, Kubeflow, etc.)
Expertise in statistical modeling, predictive analytics
Experience working with real-time and batch-processing systems
Demonstrated ability to translate business problems into data science solutions

Responsibilities

Lead and drive the development of advanced machine learning models to solve high-impact business challenges
Collaborate with stakeholders (business leaders, product managers, engineering teams) to identify opportunities where data science can add business value
Embed yourself with business to understand the strategy and propose data solutions to accelerate outcomes
Design and implement scalable data pipelines and real-time analytics solutions
Guide and mentor data scientists, fostering a culture of innovation and best practices
Conduct deep-dive analyses to extract meaningful insights from complex and large datasets
Ensure machine learning models are explainable, reproducible, and aligned with business objectives
Present findings and recommendations to key stakeholders in a clear and actionable manner
Work closely with engineering teams to deploy ML models into production environments at scale
Own end-to-end model lifecycle management, including data preprocessing, feature engineering, model training, validation, and monitoring

Skills

Key technologies and capabilities for this role

Machine LearningStatistical ModelingBig Data Processing

Questions & Answers

Common questions about this position

What experience level is required for this Data Scientist role?

The role requires 6+ years of experience in data science.

What are the key skills needed for this position?

The position demands deep expertise in machine learning, statistical modeling, big data processing, a strategic mindset, strong leadership, and the ability to communicate insights effectively.

What is the company culture like at PhonePe?

PhonePe empowers people, trusts them to do the right thing, gives ownership from day one, encourages solving complex problems quickly, and fosters innovation while building platforms that impact millions.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What makes a strong candidate for this Data Scientist role?

A strong candidate will have proven experience leading ML model development, collaborating with cross-functional teams, mentoring others, and translating complex data into actionable business insights.

PhonePe

Digital payments and financial services platform

About PhonePe

PhonePe is a digital payments platform in India that allows individuals and businesses to conduct financial transactions securely and efficiently. It primarily operates through the Unified Payments Interface (UPI), enabling users to transfer money directly between bank accounts using their mobile phones. PhonePe differentiates itself by offering a wide range of services, including various insurance products and investment solutions, while maintaining a user-friendly interface and strong security measures. The company's goal is to make digital payments accessible to the next billion users in India, positively impacting the country's financial ecosystem.

Bengaluru, IndiaHeadquarters

2015Year Founded

$1,823.7MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Consumer Software, Fintech, Financial ServicesIndustries

5,001-10,000Employees

Benefits

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, Mobile & Broadband Reimbursements, Salary Advance Policy

Risks

Increased competition in quick commerce could dilute PhonePe's market share.

Legal challenges like trademark infringement lawsuits may increase costs and damage brand.

Market cap restrictions in India's digital payments sector could impact PhonePe's valuation.

Differentiation

PhonePe integrates with ONDC, expanding into quick commerce beyond traditional payments.

Affordable insurance products like Dengue and Malaria plans attract health-conscious customers.

Proprietary solutions development enhances control over payment processes post-Juspay partnership termination.

Upsides

IPO and new funding round could expand services and market reach.

Manish Sabharwal's appointment strengthens governance and investor confidence.

Integration with ONDC positions PhonePe as a leader in digital marketplace services.

Land your dream remote job 3x faster with AI

Try Jobo Free