Deputy Manager-Data Science

Who you are

The primary purpose of this role is to deliver analytical / decision services to Vodafone’s businesses across the globe. The role works with OpCo and is a part of the VOIS (Vodafone Shared Services) organisation in India.

The incumbent works on the assigned projects & it's stakeholder to understand the business challenges faced by them. Using expertise in analytics, the incumbent provides structured and data-backed analytics solutions to create bottom-line impact for the business. The role leverages / re-engineers existing solutions to delivery efficiently. The role also demands an innovation-led approach to delivery by using evolving analytical techniques / technologies.

The candidate works with the assigned business stakeholder(s) to agree scope, deliverables, process and expected outcomes from the products and services developed.

Key accountabilities and decision ownership:

1. Support build & deployment of analytical solutions (models, hypothesis, analyses & scenarios) across the spectrum of analytical maturity - descriptive, inferential, predictive & prescriptive
2. Leverage previously created data models, insights and analyses from across the Vodafone business to drive positive business outcomes
3. Drive efficiencies in how analytical services are delivered, through automation and standardisation of analytical delivery
4. Provide a delightful and “easy to work” experience to the business stakeholders while setting clear expectations
5. Present analysis & model results to business along with assessment of model impact on business

Core competencies, knowledge and experience:

1. 5+ years building predictive ML models on cloud big data platforms (10+ models delivered); strong in PySpark, Hive, classification, deep learning, H2O Auto-ML, feature engineering, AWS/GCP, and Git. Exposure to NLP, LLM, GenAI.
2. Advanced analytical SQL expert with 5+ years of experience, skilled in complex joins and handling datasets with 10M+ rows on the cloud. Excellent communication, presentation, analytical, and logical skills.
3. Non-negotiable skills: machine learning, advanced SQL, classification models.

Must have technical / professional qualifications:

Must have technical / professional qualifications:

1. Hands on experience in Analytical tools like Python and good understanding of various machine learning, analytical & statistical techniques
2. 5+ years building predictive ML models on cloud big data platforms (10+ models delivered); Good to have Cloud – GCP/AWS or Big Data technologies (e.g. Hadoop, Hive, Pig, etc.)
3. Need to be worked on modelling projects in different areas:
4. Predictive modelling mandatory skill actual business projects with monetary impact
5. Exceptional data manipulation and analysis techniques; comfortable using very large (>10’s millions of rows) datasets, containing both structured and unstructured data
6. ML, DL for both Supervised and Unsupervised use cases such as Binary & Multi-Class Classification, ML Forecasting & Regression Models
7. Analytics solutions models (Proof of concepts, Proofs of value, Automated models)
8. Creation of reusable, defined analytical products (including documentation and, where appropriate, training)
9. Visualisation of results / Presentation of output