Senior Associate Data Analytics

Posted One Month Ago
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Mumbai, Maharashtra, IND
In-Office
Senior level
Fintech • Payments • Financial Services
The Role
Leads end-to-end data science and analytics projects, including data exploration, statistical analysis, machine learning model development, deployment, and monitoring. Builds data pipelines and ETL workflows using large-scale processing systems and cloud platforms. Develops dashboards and communicates actionable insights to technical and non-technical stakeholders. Mentors junior team members, promotes code quality and best practices, and partners cross-functionally to deliver measurable business impact.
Summary Generated by Built In
Qualifications & Experience Bachelor’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 Skills Strong 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 Analytics Extensive 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 Knowledge Working 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 & Communication Proficiency 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 & Leadership Ability 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.

Skills Required

  • Bachelor'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 data science
  • Experience solving real-world business problems using data
  • Experience collaborating with business stakeholders, product teams, and engineering teams
  • Strong understanding of data structures, algorithms, statistical modeling, and database systems
  • Advanced proficiency in SQL
  • Strong Python programming skills, including Pandas, NumPy, and Scikit-learn
  • Experience building, evaluating, and deploying machine learning models in production
  • Expertise in feature engineering, model selection, hyperparameter tuning, and performance monitoring
  • Understanding of supervised and unsupervised learning techniques
  • Exposure to time series forecasting, NLP, or deep learning
  • Strong grounding in statistical analysis, hypothesis testing, and experimental design, including A/B testing
  • Working knowledge of Apache Spark and large-scale data processing systems
  • Experience designing and maintaining data pipelines, ETL processes, and data transformation workflows
  • Familiarity with Azure, AWS, or GCP
  • Exposure to MLOps practices, including model deployment and monitoring
  • Proficiency with Tableau, Power BI, or Superset
  • Ability to communicate analytical findings clearly to technical and non-technical stakeholders
  • Ability to lead end-to-end data science projects
  • Experience mentoring junior team members
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The Company
HQ: Mumbai, Maharashtra
2,124 Employees
Year Founded: 2005

What We Do

NPCI is an umbrella organisation for all retail payment systems in India. It was set up with the support & guidance from Reserve Bank of India (RBI) & Indian Banks Association (IBA). A registered company under Section 8 of the Companies Act, 2013. Watch the NPCI Corporate AV - https://youtu.be/RGl9YQ6CB20 Products & Services Unified Payments Interface Unique payment solution which empowers a recipient to initiate the payment request from a smartphone. It facilitates 'virtual payment address'​ as a payment identifier for sending & collecting money & works on single click 2 factor authentication. Immediate Payment Service A 24X7, real time, cost effective, independent channel, retail payment service, introduced by NPCI, empowering customers to transfer money instantly with banks & RBI authorised PPIs across India. RuPay Robust card scheme designed to offer payment products with superior features & processes specifically designed to cater to diverse consumer needs. *99# USSD based mobile banking platform that makes banking services accessible to all the bank account holders on their mobile phones. National Automated Clearing House Centralised payment system developed with an aim to consolidate multiple ECS systems running across the country & provide a framework for the removal of local barriers/inhibitors. Aadhaar Enabled Payment System Bank led model which allows online financial inclusion transactions at micro-ATMs through the business correspondent of any bank using the Aadhaar authentication. e-KYC Electronic way of conducting authentic & real time KYC of a customer using Aadhaar authentication. Cheque Truncation System Electronic image of the cheque is transmitted to the drawee bank by the clearing house, along with relevant information. National Financial Switch Facilitates routing of ATM transactions through inter-connectivity between its member institutions thereby enabling the citizens of the country to utilise any ATM of a connected entity

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