AGM-CVM Big Data And Analytics

Vodafone Idea Limited; Bhind; On-site; INR 800,000 - 1,400,000; Full time

Job summary

Vodafone Idea Limited in Mumbai is seeking a Data Scientist with 2–7 years of experience to drive analytics, AI/ML initiatives, and data-driven business decisions. You will build scalable models, work with big data stacks, and collaborate with cross-functional teams to deploy solutions on AWS.

The role requires hands-on expertise in Python, SQL, and cloud tools, plus a strong foundation in statistics, experimentation, and data visualization. Mumbai Corporate location offers dynamic opportunities.

Qualifications

• Graduate or Masters in Statistics, Engineering, or related quantitative field.
• Any Certification in ML/ DL, AI or Data Science preferred.
• Masters preferred; PhD considered for research-heavy roles.

Responsibilities

• Create business models to impact revenue and ARPU using predictive modeling and cloud technologies.
• Build predictive models and analytics products across marketing verticals.
• Conduct exploratory data analysis, feature engineering, model development and evaluation.
• Collaborate with BI, IT and product teams to deploy AI/ML solutions on cloud.
• Write efficient, modular Python code and develop SQL-based data pipelines.
• Assess model accuracy with both statistical and business metrics.

Skills

Python

SQL

Big Data

AWS

Visualization

Education

Masters in Statistics/Data Science/Engineering

Tools

Spark

Hadoop

TensorFlow/Keras

Job description

Job Description:

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.

VILs 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 Mumbai Corporate

Reporting VP – Big Data & Advanced Analytics, Marketing

Job Purpose

1. Create business models to impact the revenue and ARPU of the customers using Predictive Modeling, Artificial Intelligence, Machine Learning and cloud technologies
2. Hands on expertise in Predictive Modeling, Artificial Intelligence, Machine Learning and cloud technologies.
3. Building key predictive models and analytics products across marketing verticals in the organization
4. Find ways to combine large-scale experimentation, statistical-econometric, machine learning, deep learning and social-science methods to answer business questions at scale
5. Use causal inference methods to design and suggest experiments and new ways to establish causality, assess attribution, and answer strategic questions using data.
6. 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.
7. Collaborate with BI, IT and product development teams
8. Expertise in writing efficient, modularized and standardized code in python
9. Experience of working with AWS tools and technologies-S3, EC2, EMR, Glue, Sagemaker, Lambda, Dynamo DB, RedShift, Quicksight
10. 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
11. Assessing the Model accuracy both Statistical as well as Business evaluation (Target Group vs Control Group & overall adoption)
12. Well versed with writing efficient SQL scripts for data acquisition and data aggregation
13. Help suggest, support, and shape new data driven use cases on AI-ML

Key Result Areas/Accountabilities

1. Align dynamically & efficiently to organizational goals
2. Help team-lead in achieving team’s revenue using AI/ML & cloud skills
3. Building & Refine AI/ML approach and deploy model over a Cloud
4. Achieve greater model lifts
5. Upskilling
6. Compulsorily being Hands-on

Core Competencies, Knowledge, Experience

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

Must have technical / professional qualifications

1. Graduate or Masters 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

Requirements: