AGM-CVM Big Data & Analytics

Vodafone Idea Limited; Mumbai; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Vodafone Idea Limited is seeking a Data Scientist to build predictive models and analytics products across marketing. You will work with large datasets, apply ML/DL techniques, and deploy solutions on AWS cloud infrastructure.

Ideal candidates have 2–7 years of experience, strong Python/SQL skills, and expertise in AWS data tools. Responsibilities include end-to-end analyses, feature engineering, and collaboration with BI, IT and product teams to enable data-driven decisions that improve revenue

Qualifications

• Graduate or Master’s/PhD in Statistics, Economics, Engineering or a quantitative field with exposure to AI/ML

Responsibilities

• Create predictive models to drive revenue and ARPU using AI/ML and cloud tech
• Build scalable analytics products across marketing and big data domains
• Perform end-to-end analyses from data gathering to model delivery to executives
• Collaborate with BI, IT and product teams to implement data-driven solutions
• Write modular Python code and optimize data pipelines

Skills

Python

SQL

AWS

ML & DL

Data Modeling

Education

Graduate/Master's/PhD in Statistics or Economics or Engineering

Tools

S3

EC2

EMR

Glue

Sagemaker

Lambda

DynamoDB

Redshift

Quicksight

Hadoop

Hive

Spark

NoSQL

Kafka

Job description

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Vodafone Idea Limited is an Aditya Birla Group and Vodafone Group partnership. It is India’s leading telecom service provider. The Company provides pan India Voice and Data services across 2G, 3G and 4G platform. With the large spectrum portfolio to support the growing demand for data and voice, the company is committed to deliver delightful customer experiences and contribute towards creating a truly ‘Digital India’ by enabling millions of citizens to connect and build a better tomorrow. The Company is developing infrastructure to introduce newer and smarter technologies, making both retail and enterprise customers future ready with innovative offerings, conveniently accessible through an ecosystem of digital channels as well as extensive on-ground presence. The Company is listed on National Stock Exchange (NSE) and Bombay Stock Exchange (BSE) in India.

We’re proud to be an equal opportunity employer. At VIL, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected and empowered to reach their potential and contribute their best.

VIL’s goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our Values of Passion, Boldness, Trust, Speed and Digital. Consequently, our recruiting efforts are directed towards attracting and retaining best and brightest talents. Our endeavour is to be First Choice for prospective employees.

VIL ensures equal employment opportunity without discrimination or harassment based on race, colour, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

VIL is an equal opportunity employer committed to diversifying its workforce.

Role

Data Scientist

Job Level/ Designation

M2/AGM – Data Scientist

Years of Experience

2 - 7 years of relevant work experience

Function / Department

Big Data and Advanced Analytics - Marketing

Location

Reporting

VP – Big Data & Advanced Analytics, Marketing

Job Purpose

• Create business models to impact the revenue and ARPU of the customers using Predictive Modeling, Artificial Intelligence, Machine Learning and cloud technologies
• Hands on expertise in Predictive Modeling, Artificial Intelligence, Machine Learning and cloud technologies.
• Building key predictive models and analytics products across marketing verticals in the organization
• Find ways to combine large-scale experimentation, statistical-econometric, machine learning, deep learning and social-science methods to answer business questions at scale
• Use causal inference methods to design and suggest experiments and new ways to establish causality, assess attribution, and answer strategic questions using data.
• Work with large, complex data sets. Conduct end-to-end analyses that include data gathering and requirements specification, exploratory data analysis (EDA), model development, and written and verbal delivery of results to business partners and executives.
• Collaborate with BI, IT and product development teams
• Expertise in writing efficient, modularized and standardized code in python
• Experience of working with AWS tools and technologies-S3, EC2, EMR, Glue, Sagemaker, Lambda, Dynamo DB, RedShift, Quicksight
• In-depth understanding of Feature engineering and selection approaches, Segmentation or stratified analyses, anomaly detection, pattern detection and data transformation approaches. Classification; Machine/Deep Learning - Algorithm Evaluation, Dataset Preparation
• Assessing the Model accuracy both Statistical as well as Business evaluation (Target Group vs Control Group & overall adoption)
• Well versed with writing efficient SQL scripts for data acquisition and data aggregation
• Help suggest, support, and shape new data driven use cases on AI-ML

Key Result Areas/Accountabilities

• Align dynamically & efficiently to organizational goals
• Help team-lead in achieving team’s revenue using AI/ML & cloud skills
• Building & Refine AI/ML approach and deploy model over a Cloud
• Upskilling
• Compulsorily being Hands-on

Core Competencies, Knowledge, Experience

• Proven expertise with a variety of Machine Learning and Deep Learning techniques across structured and unstructured data sets
• Design and deploy high-performance recommendation systems to drive customer retention, ARPU (Average Revenue Per User), and cross-selling.
• Architect and implement cutting-edge Generative AI solutions and autonomous Agentic AI frameworks to automate complex customer and operational workflows.
• Strong hands on proficiency in statistical packages and ML libraries (e.g. Python, R, Spark, SQL, Visualization tools)
• Cloud Computing & Architectural Planning - AWS ( EC2, S3,EMR,etc)
• Deep Learning Frameworks: Caffe, Keras, Theano, Tensorflow, or Torch
• Experience working on Big Data technologies (e.g. Hadoop MR, Hive, NoSQL, Spark, Kafka, Graph Databases etc.)
• Self-Starter, Motivated, organize, and excellent communicator
• Ability to work in cross functional teams to translate business issues into potential analytics solutions
• Good Problem solving & Analytical Skills
• Quick learner and adapting to changing business needs

Must have technical / professional qualifications

1. Graduate or Master's degree or PHD in Statistics or Economics or Engineering or a quantitative discipline from top ranked universities with exposure to AI/ ML/ Data Mining

2. Any Certification in Machine Learning / Deep Learning - Artificial Intelligence / Data Science

3. Preferred Certifications in AI/ML and AWS Cloud

Vodafone Idea Limited(formerly Idea Cellular Limited)
An Aditya Birla Group & Vodafone partnership

Vodafone Idea Limited (formerly Idea Cellular Limited) An Aditya Birla Group & Vodafone partnership