DATA SCIENTIST

Job Description

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

We are seeking a Data Scientist with 3–4 years of experience to design, develop, and operationalise advanced analytical, diagnostic, predictive, and prescriptive models. The individual will work across large-scale data ecosystems, apply modern machine learning and deep learning frameworks, and contribute to the development of autonomous cognitive systems. The role requires strong expertise in cloud environments (preferably AWS), robust statistical modelling abilities, and hands-on experience with cutting-edge ML and AI frameworks.

What you will do

• Work with large-scale datasets and apply modern data practices across ingestion, transformation, governance, security, and privacy in both on-premises and cloud environments (AWS preferred).
• Influence and contribute to innovative approaches that extract value from enterprise-wide and external data sources.
• Build diagnostic models using decision theory and causal techniques such as probability, DAG, ADMG, deterministic SME, and other causal frameworks to improve insight-led decisions.
• Productise diagnostic systems for scalability, reuse, and integration into business workflows.
• Develop predictive and prescriptive analytics models using ML, DL, NLP, reinforcement learning, and expert systems.
• Build scalable and real‑time prescriptive learning systems that determine the “Next Best Action” for operational decision-making.
• Create autonomous cognitive systems that prescribe proactive actions, leverage ML predictions, and incorporate feedback with minimal human intervention.
• Apply advanced deep‑learning architectures such as CNNs, RNNs, MLPs, and other neural networks.
• Use ML and DL libraries and frameworks including TensorFlow, PyTorch, Scikit‑learn, NumPy, Pandas, Statsmodels, Theano, and XGBoost.
• Utilise programming languages such as Python, R, and SQL to support modelling and automation tasks.
• Develop insights using visualisation platforms such as Tableau and Power BI.
• Apply strong communication, problem‑solving, and stakeholder‑management skills to collaborate effectively across teams.

Who you are

• 3–4 years of experience as a Data Scientist.
• Strong expertise in Python, R, SQL, and modern data‑science frameworks.
• Hands‑on experience with TensorFlow, Keras, Scikit‑learn, and advanced deep‑learning frameworks.
• Skilled in AWS or Azure cloud platforms, with at least one AWS certification preferred.
• Proficient in statistical modelling techniques including regression, classification, clustering, and time‑series analysis.
• Knowledgeable in building diagnostic, predictive, prescriptive, and autonomous AI systems.
• Strong communication and stakeholder‑engagement skills.
• Able to work collaboratively, manage complex challenges, and contribute to continuous improvement.

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

• Experience working with advanced machine learning, deep learning, causal inference, and autonomous AI systems.
• Exposure to scalable cloud‑based architectures and large‑scale data environments.
• Opportunities to contribute to innovative, insight‑driven decision systems used across the organisation.
• A supportive environment that encourages continuous learning and experimentation.

What skills you will learn

• Building and deploying autonomous cognitive systems.
• Designing prescriptive learning systems and Next Best Action models.
• Advanced deep‑learning model lifecycle management and optimisation.
• Hands‑on experience with causal inference techniques and decision‑theory frameworks.
• Enhanced skills in cloud‑native data‑science platforms and MLOps.

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 be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.

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Follow us on social media and #StayConnected

• LinkedIn: https://www.linkedin.com/company/vois/
• Facebook: https://www.facebook.com/voisglobal
• Instagram: https://www.instagram.com/voisglobal/
• You can also chat with our employees to learn more about our projects: https://lnkd.in/dpkrcvR2