Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
- Gratuity calculator
  
  Check your gratuity amount
- HRA calculator
  
  Check how much of your HRA is tax-free
- Salary hike calculator
  
  Check your salary hike
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 2K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

WINNERS AWAITED!
- ABECA 2025
  
  WINNERS AWAITED!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

Add office photos

Employer? Claim Account for FREE

PhonePe

Compare

4.0

based on 2.3k Reviews

Video summary

Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards

Top Rated Tech Startup - 2024

2 PhonePe Data Scientist Jobs

Data Scientist

PhonePe

4.0

based on 2.3k Reviews

2-5 years

₹ 20.5 - 28L/yr (AmbitionBox estimate)

Bangalore / Bengaluru

1 vacancy

Data Scientist

PhonePe

posted 14d ago

Job Role Insights

Flexible timing

Key skills for the job

SQL Machine Learning Medical Insurance Stock Broking Financial Services CCTV Monitoring

+ 2 more

Job Description

About PhonePe Group:

Culture

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:

Bachelors 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!

Employment Type: Full Time, Permanent

Read full job description

Prepare for Data Scientist roles with real interview advice