Role Purpose:
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 provide 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:
• Support build & deployment of analytical solutions (models, hypothesis, analyses & scenarios) across the spectrum of analytical maturity - descriptive, inferential, predictive & prescriptive
• Leverage previously created data models, insights and analyses from across the Vodafone business to drive positive business outcomes
• Drive efficiencies in how analytical services are delivered, through automation and standardisation of analytical delivery
• Provide a delightful and “easy to work” experience to the business stakeholders while setting clear expectations
• Present analysis & model results to business along with assessment of model impact on business
Key performance indicators [max 3]:
• Analytics solutions models (Proof of concepts, Proofs of value, Automated models)
• Creation of reusable, defined analytical products (including documentation and, where appropriate, training)
• Visualisation of results / Presentation of output
Core competencies, knowledge and experience
Core competencies, knowledge and experience :
• Minimum experience of 12+ years in data science and from a top B-school or T-School of India
• Excellent communication & presentation skills with track record of engaging with business project leads
• Flexibility and problem solving
• Previous experience in Telecom would be a distinct advantage
• Graduate from tier-1 or tier-2 college preferred with good academic record
Must have technical / professional qualifications:
• Hands on experience in Analytical tools like Python with through knowledge of various machine learning, analytical & statistical techniques
• Expert in Python, PySpark (at least 2-3 years in real time projects)
• Good to have 2-3 years of Cloud – GCP/AWS or Big Data technologies (e.g. Hadoop, Hive, Pig, etc.)
• Need to be worked on modelling projects till now in different areas:
• Predictive Modelling Mandatory kin actual business projects with monetary impact classification, segmentation etc
• Exceptional data manipulation and analysis techniques; comfortable using very large (>10’s millions rows) datasets, containing both structured and unstructured data
• Machine Learning, Deep Learning, Clustering & Segmentation, Binary & Multi-Class Classification, ML Forecasting & Regression Models
• Good stability in employments and from reputed tier-1 employers in past