Deputy Manager-Data Science and Advanced Analytics Specialist - VOIS

Who we are

VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation.
As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.
We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.
#VOIS #BeUnrivalled #CreateTheFuture

About this Role

What you’ll do

• Support the build and deployment of analytical solutions, including models, hypotheses, analyses and scenarios across descriptive, inferential, predictive and prescriptive analytics.
• Reuse and enhance existing data models, insights and analyses from across Vodafone to improve business outcomes and delivery efficiency.
• Drive automation and standardisation in analytical service delivery to improve consistency, scalability and productivity.
• Partner with business stakeholders to agree scope, deliverables, processes and expected outcomes for analytics products and services.
• Present analysis, model results and impact assessments to business stakeholders in a clear and actionable way.
• Develop reusable analytical products, including documentation and, where appropriate, enablement materials or training.
• Visualise results and prepare outputs that help stakeholders interpret insights and make informed decisions.

Who you are

• You have 5+ years of experience building predictive machine learning models on cloud big data platforms, with experience delivering 10+ models.
• You have strong hands-on experience with PySpark, Hive, advanced SQL, classification models, feature engineering and Git.
• You are experienced in complex SQL joins and working with large cloud datasets, including datasets with more than 10 million rows.
• You have practical experience with Python and a sound understanding of machine learning, analytical and statistical techniques.
• You have worked on predictive modelling projects with real business impact, including use cases involving monetary outcomes.
• You are comfortable working with structured and unstructured data at scale and applying strong data manipulation and analysis techniques.
• You have experience with supervised and unsupervised machine learning use cases, including binary classification, multi-class classification, forecasting and regression models.
• You bring strong communication, presentation, analytical and logical thinking skills.
• You have exposure to AWS or GCP, big data technologies such as Hadoop, Hive or Pig, and tools or approaches such as deep learning, H2O AutoML, NLP, LLM or GenAI.
• Experience with geospatial analysis would be beneficial.
• You are open to working from Pune or Bangalore, with Pune listed as the role location.

Not a perfect fit?

Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.

What's in it for you

• Opportunity to work on global analytics and decision services for Vodafone businesses across markets.
• Exposure to high-impact analytical solutions, including proof of concepts, proofs of value and automated models.
• Experience in building reusable analytical products that improve consistency, scalability and business value.
• A role that combines stakeholder partnership, advanced analytics delivery and measurable business impact.
• Opportunity to work with evolving analytical techniques and technologies, including machine learning, cloud big data platforms and automation

What skills you will learn

• Building and scaling analytical solutions across descriptive, inferential, predictive and prescriptive analytics.
• Enhancing machine learning models for business use cases, including classification, forecasting and regression.
• Working with large structured and unstructured datasets on cloud big data platforms.
• Improving analytics delivery through reusable assets, automation and standardised approaches.
• Translating model results and analytical insights into clear stakeholder presentations and business recommendations

VOIS Equal Opportunity Employer Commitment

Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background. 

Join Us

At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.
We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.
With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.

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