Data Scientist

About PhonePe Group:

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.

Culture

At PhonePe, we take extra care to make sure you give your best at work, Everyday! And creating the right environment for you is just one of the things we do. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one. Being enthusiastic about tech is a big part of being at PhonePe. If you like building technology that impacts millions, ideating with some of the best minds in the country and executing on your dreams with purpose and speed, join us!

Job Description:
We are looking for an experienced Data Scientist with 8+ years of experience to join our team and drive impactful data-driven solutions. The ideal candidate will possess deep expertise in machine learning, statistical modeling, and big data processing, along with a proven ability to work with cross-functional teams and effectively communicate insights to stakeholders. This role requires a strategic mindset, strong leadership, and the ability to translate complex data problems into actionable business insights.

Key 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.

Required Qualifications:

• Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (Ph.D. preferred but not mandatory).
• 8+ 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.
• Excellent problem-solving, critical-thinking, and analytical skills.
• Strong communication and stakeholder management skills, with the ability to explain technical concepts to non-technical audiences.

Preferred Qualifications:

• Experience in financial services, fintech, e-commerce, or similar data-driven industries.

Soft Skills:

• Mentorship: Ability to mentor data scientists and foster a culture of knowledge-sharing.
• Effective Communication: Strong verbal and written communication skills to engage with business stakeholders.
• Strategic Thinking: Ability to align data science initiatives with business objectives.
• Adaptability: Comfortable working in a fast-paced and evolving business environment.

Innovation & Curiosity: Eager to experiment with new techniques and stay ahead in the field of data science.

Why Join Us?

• Opportunity to work on high-impact, real-world problems with a data-driven organization.
• Exposure to cutting-edge AI/ML advancements and cloud technologies.
• Collaborative work culture that values innovation, autonomy, and continuous learning.

If you are a highly skilled Data Scientist with a passion for solving complex business challenges through data-driven solutions, we encourage you to apply!

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

Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog.