DEPUTY MANAGER-DATA SCIENCE-PUNE

About VOIS VO IS  (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value and enhancing quality and efficiency across 28 countries, and operating from 7 locations.
Albania, Egypt, Hungary, India, Romania, Spain and the UK.
Over highly skilled individuals are dedicated to being Vodafone Group’s partner of choice for talent, technology, and transformation.
We deliver the best services across IT, Business Intelligence Services, Customer Operations, Business Operations, HR, Finance, Supply Chain, HR Operations, and many more.
Established in , VO IS  has evolved into a global, multi-functional organisation, a Centre of Excellence for Intelligent Solutions focused on adding value and delivering business outcomes for Vodafone.
About VOIS India n , VO IS  started operating in India and now has established global delivery centres in Pune, Bangalore and Ahmedabad.
With more than employees, VO IS  India supports global markets and group functions of Vodafone, and delivers best-in-class customer experience through multi-functional services in the areas of Information Technology, Networks, Business Intelligence and Analytics, Digital Business Solutions (Robotics & AI), Commercial Operations (Consumer & Business), Intelligent Operations, Finance Operations, Supply Chain Operations and HR Operations and more.
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.
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 Core competencies, knowledge and experience.
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.
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.
Non-negotiable skills.
machine learning, advanced SQL, classification models.
Must have technical / professional qualifications.
Must have technical / professional qualifications.
Hands on experience in Analytical tools like Python and good understanding of various machine learning, analytical & statistical techniques 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.
.
Hadoop, Hive, Pig, etc.) Need to be worked on modelling projects in different areas.
Predictive modelling mandatory skill actual business projects with monetary impact Exceptional data manipulation and analysis techniques; comfortable using very large (>10’s millions of rows) datasets, containing both structured and unstructured data ML, DL for both Supervised and Unsupervised use cases such as Binary & Multi-Class Classification, ML Forecasting & Regression Models 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 VOIS Equal Opportunity Employer Commitment VO IS  is proud to be an Equal Employment Opportunity Employer.
We celebrate differences and we welcome and value diverse people and insights.
We believe that being authentically human and inclusive powers our employees’ growth and enables them to create a positive impact on themselves and society.
We do not discriminate based on age, colour, gender (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, race, religion, sexual orientation, status as an individual with a disability, or other applicable legally protected characteristics.
As a result of living and breathing our commitment, our employees have helped us get certified as a Great Place to Work in India for four years running.
We have been also highlighted among the  Top 10 Best Workplaces for Millennials, Equity, and Inclusion,  Top 50 Best Workplaces for Women,  Top 25 Best Workplaces in IT & IT-BPM  and  10th Overall Best Workplaces in India  by the Great Place to Work Institute in .
These achievements position us among a select group of trustworthy and high-performing companies which put their employees at the heart of everything they do.
By joining us, you are part of our commitment.
We look forward to welcoming you into our family which represents a variety of cultures, backgrounds, perspectives, and skills!   Apply now, and we’ll be in touch! Vodafone is committed to attracting, developing and retaining the very best people by offering a motivating and inclusive workplace in which talent is truly recognised and rewarded.
We are committed to promoting Inclusion for All with the belief that diversity plays an important role in the success of our business.
We actively encourage everyone to consider becoming a part of our journey.