Manager- Senior Data Scientist
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
- Analyse large volumes of structured and unstructured data to test hypotheses, uncover patterns, and deliver actionable business insights.
- Design, develop, validate, and deploy machine learning models that support predictive and prescriptive decision-making.
- Build and maintain data visualisation dashboards to communicate insights clearly to a wide range of stakeholders.
- Collaborate with data engineers, analysts, and business stakeholders to translate business problems into scalable analytical solutions.
- Contribute to and help shape the global analytics community, ensuring continuous improvement and adoption of leading-edge analytical techniques.
Who you are
A data science professional with a strong problem-solving mindset and the ability to translate complex business questions into analytical solutions.
Experienced in working collaboratively within cross-functional teams and comfortable sharing knowledge and feedback.
Brings at least six years of hands-on experience developing analytical models using large-scale datasets in a commercial, consumer, or digital environment.
Proficient in Python and PySpark, with end-to-end experience from problem definition through to production deployment.
Strong grounding in statistical learning and machine learning techniques, including regression, tree-based models, clustering, NLP, deep learning, and reinforcement learning.
Experienced with modern machine learning libraries such as scikit-learn, MLlib, TensorFlow, PyTorch, H2O, and R.
Knowledgeable in data warehousing and big data technologies, including SQL, NoSQL, Spark, and related ecosystems.
Familiar with experimentation, A/B testing, and developing analytical reports and insights.
Exposure to data visualisation tools such as Qlik, Shiny, Dash, D3, Tableau, or Power BI is valued
Experience with cloud platforms (ideally Google Cloud) and containerisation technologies is desirable.
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
(Inferred from the responsibilities and team context provided in the job description.)
What skills you will learn
Applying advanced machine learning techniques at enterprise scale.
Translating complex analytical outcomes into clear, stakeholder-ready insights.
Working with cloud-based and big data ecosystems in a global organisation.
(Inferred from the scope and expectations of the role.)
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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