Senior Executive-Data Science and Advanced Analytics Specialist
Vodafone · Pune, Maharashtra, India ·
- Work mode
- Onsite
- Seniority
- Senior
- Category
- Data science
Vodafone · Pune, Maharashtra, India ·
Vodafone Qatar · Cairo, Egypt
Vodafone Qatar · Cairo, Egypt
Vodafone Qatar · Cairo, Egypt
Vodafone Qatar · Cairo, Egypt
Vodafone Qatar · Cairo, Egypt
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
Support the development and deployment of descriptive, inferential, predictive and prescriptive analytical solutions, including models, hypotheses, analyses and scenarios.
Translate business challenges into clearly defined analytical requirements, deliverables, processes and expected outcomes.
Use existing data models, insights and analyses from across Vodafone to support positive business outcomes.
Develop predictive models and other analytical solutions that contribute to measurable business impact.
Improve analytical delivery through automation, standardisation and the reuse or redesign of existing solutions.
Analyse structured and unstructured datasets containing tens of millions of records.
Apply techniques such as machine learning, deep learning, clustering, segmentation, binary and multi-class classification, forecasting and regression modelling.
Visualise analytical results and present clear, actionable findings to business stakeholders.
Set clear expectations and provide stakeholders with a straightforward, collaborative experience.
Create reusable analytical products supported by appropriate documentation and, where relevant, training.
You have at least two years of practical experience in data science and analytics.
You have hands-on Python experience, including at least six months of work on live projects.
You understand a range of machine learning, analytical and statistical techniques.
You have worked on at least three modelling projects across different business areas, including predictive modelling projects with measurable commercial impact.
You are confident manipulating and analysing very large structured and unstructured datasets.
You can communicate complex analytical concepts clearly and present findings effectively to business project leads and stakeholders.
You bring a flexible, practical and collaborative approach to problem-solving.
Experience with R, SAS, Google Cloud Platform, Amazon Web Services, Hadoop, Hive or Pig would be beneficial.
Previous experience in the telecommunications sector would be advantageous.
You have a relevant graduate qualification and a sound academic record.
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.
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.
The opportunity to solve varied business challenges for Vodafone businesses across global markets.
Exposure to large-scale structured and unstructured datasets and a broad range of analytical use cases.
Experience collaborating with business stakeholders and multidisciplinary internal teams.
Opportunities to create reusable analytical products and improve delivery through automation and standardisation.
Scope to explore evolving analytical techniques, cloud platforms and big data technologies.
How to translate business challenges into well-defined analytics projects and measurable outcomes.
Advanced application of predictive and prescriptive modelling in live business environments.
Techniques for analysing high-volume structured and unstructured data.
Methods for automating, standardising and scaling analytical delivery.
Stakeholder engagement, analytical storytelling and results visualisation.
Practical exposure to reusable analytics products, cloud platforms and big data technologies.
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.
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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