Senior Associate Data Analytics

NPCI; Mumbai; On-site; INR 1,800,000 - 2,400,000; Full time

Benefits offered by this job

Relocation support

Health insurance

Mobile reimbursement

Car lease/Meal subsidies

Reward & Recognition Program

IPR and innovation support

Job summary

NPCI, a pivotal institution in India's digital payments ecosystem, seeks a data science professional to drive data-driven decision making. You will collaborate with product, engineering, and business stakeholders to build scalable ML solutions, design data pipelines, and translate insights into impact.

The role emphasizes production ML, experimentation, and strong communication to influence decisions, with Mumbai-based on-site work and a focus on cutting-edge retail payment platforms.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field.
• 3–6 years hands-on experience in data science.
• Experience collaborating with business, product and engineering teams.

Responsibilities

• Lead end-to-end data science projects from problem definition to deployment.
• Build, evaluate, and monitor ML models in production.
• Design data pipelines and transform data for analysis.
• Translate insights into actionable business recommendations.

Skills

Data science fundamentals

SQL

Python

Machine learning

Feature engineering

Time series forecasting

NLP

Big data processing

Spark

Cloud platforms

MLOps

Data visualization

Communication

Leadership

Education

Bachelor’s or Master’s degree in Computer Science/Data Science/Statistics/Mathematics

Tools

Tableau/Power BI

Pandas

NumPy

Scikit-learn

Azure/AWS/GCP

Spark

Job description

National Payments Corporation of India (NPCI) | Full Time

The National Payments Corporation of India (NPCI) is a pivotal institution in India's digital payments ecosystem, established by the Reserve Bank of India (RBI) and the Indian Banks’ Association (IBA). It operates under the Payment and Settlement Systems Act, 2007, and is incorporated as a “Not for Profit” company under Section 25 of the Companies Act 1956 (now Section 8 of the Companies Act 2013). NPCI is dedicated to building world-class digital payment infrastructure through innovative and efficient retail payment platforms. As an Equal Opportunity Employer, NPCI is committed to fostering an inclusive workplace culture, with zero tolerance for discrimination based on race, ethnicity, disability, gender identity, or sexual orientation, including support for the LGBTQ+ community.

To learn more about our company please click on link AboutNPCI

Our Culture

TheNPCIWAY –OurGuidingPrinciples

At NPCI, we foster a culture of Inclusion, Innovation, and a High- Performance Workplace .

The NPCIWAY isnotjustaframework - it’sasharedcommitmentbyevery individual to align with our evolving business needs, dynamic market conditions, and workforce expectations.

FiveTenetsoftheNPCIWAY

• ForwardThinkingMind-Set
• CustomerFirst
• LeadWith Purpose
• PassiontoDeliver
• AllSucceedTogether

Employee Perks and Benefits

Insurance&Wellness:

• ComprehensiveCoverage :Medical,accidental,andlifeinsurance.
• Employee Assistance Program : Onsite medical center, financial/legal counselling, mental wellness.
• AnnualWellnessBouquet :Holisticwellbeingsupport

Family &Childcare:

• ParentalLeave :Inclusivematernityandpaternityleave.
  
• Nanny at home Support: Assistance for Working Parents
  

Mobility&Lifestyle:

• MobilityBenefits :Relocation,transfers,andtravelsupport.
  
• HomeLoanInterestSupport :Upto50%reimbursement*
  
• MobileReimbursement :Newhandsetevery2years.
  
• CarLease,SalaryAdvance,SubsidizedMeals.
• Reward&RecognitionProgram.
• TechnologyInnovation: PatentsandIPRightspolicy.

RetirementPlanning:

• ProvidentFund(PF) and Gratuity Contributions .

Why Join Us

At NPCI, you’ll be part of a purpose-driven organization shaping the future of digital payments in India and beyond. NPCI offers a unique opportunity to work on cutting-edge projects that directly impact millions. We foster a culture of innovation, inclusion, and high performance, where every individual is empowered to lead with purpose and deliver with passion. With a strong focus on employee wellbeing, continuous learning, and collaborative success, NPCI is more than just a workplace - it’s a platform to grow, contribute, and make a meaningful difference.

Qualifications & ExperienceBachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.3–6 years of hands‑on experience in the Data Science domain, with a strong track record of solving real-world business problems using data.Experience working in cross‑functional environments, collaborating with business stakeholders, product teams, and engineering teams.Core Technical SkillsStrong understanding of data science fundamentals, including data structures, algorithms, statistical modeling, and database systems.Advanced proficiency in SQL for complex querying, data manipulation, and performance optimization.Strong programming skills in Python, including experience with libraries such as Pandas, NumPy, Scikit-learn, and other relevant frameworks.Machine Learning & Advanced AnalyticsExtensive experience in building, evaluating, and deploying machine learning models in production environments.Expertise in feature engineering, model selection, hyperparameter tuning, and performance monitoring.Solid understanding of supervised and unsupervised learning techniques, as well as exposure to advanced methods such as time series forecasting, NLP, or deep learning.Strong grounding in statistical analysis, hypothesis testing, and experimental design (A/B testing) to derive actionable insights.Data Engineering & Systems KnowledgeWorking knowledge of distributed computing frameworks (e.g., Apache Spark) and large-scale data processing systems.Experience in designing and maintaining data pipelines, ETL processes, and data transformation workflows.Familiarity with cloud platforms such as Azure, AWS, or GCP and exposure to MLOps practices, including model deployment and monitoring.Visualization & CommunicationProficiency in data visualization tools such as Tableau, Power BI, or Superset for developing dashboards and reports.Ability to translate complex analytical findings into clear, concise, and actionable insights tailored to both technical and non-technical stakeholders.Strong communication and storytelling skills to influence decision-making.Ownership & LeadershipAbility to lead end-to-end data science projects, from problem definition and data exploration to model deployment and business adoption.Experience mentoring junior team members and contributing to best practices, code quality, and knowledge sharing.Strong problem-solving mindset with attention to detail and a focus on delivering business impact.