Enterprise Data Science Sr. Specialist

Job Description

Join Us

At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.

Role Purpose

• Act as a senior individual contributor responsible for implementing enterprise customers’ requirements into high‑quality AI/ML solutions, working under the guidance of the Enterprise AI Solution Tech Lead and in close collaboration with Product Owners.
• Design, build, and deploy robust AI models and data pipelines (on‑prem and cloud‑hosted) that meet defined business objectives, customer needs, and performance standards.
• Support the operationalization of enterprise AI use cases by translating solution designs into reliable, production‑ready implementations.
• Apply strong data science and AI engineering expertise to ensure solutions are technically sound, scalable, and business‑relevant.

Role Responsibilities

Solution Development

• Translate customer and product requirements into clear data science and AI implementation tasks.
• Develop, train, test, and deploy ML/DL/GenAI and data pipelines aligned with customer‑specific use cases.
• Ensure AI components are efficient, maintainable, and production‑ready, supporting smooth integration with enterprise systems and platforms.
• Contribute to documentation, reproducibility, and knowledge transfer for implemented solutions.

Advanced Technical Contribution

• Act as a subject‑matter contributor in machine learning, AI and GenAI engineering within delivery teams.
• Apply best practices in feature engineering, model selection, evaluation, and optimization.
• Support MLOps activities such as model versioning, monitoring, retraining, and performance tracking.
• Participate in technical reviews, code reviews, and solution walkthroughs to maintain delivery quality.

Customer Engagement

• Work closely with Enterprise teams to ensure AI solutions address real customer problems and deliver measurable outcomes.
• Explain data science methods, assumptions, and results in a clear and structured way to technical and non‑technical stakeholders.
• Support customer discussions, demos, and technical clarifications to build confidence in Vodafone’s AI capabilities.

Continuous Improvement & Reuse

• Validate model performance, data quality, and technical compliance against defined acceptance criteria.
• Identify and resolve technical issues related to data quality, scalability, latency, or model behavior.

Support solution readiness reviews prior to customer handover, ensuring alignment with agreed technical and business outcomes

Core Competencies and Qualifications

• Excellent hands‑on experience with machine learning and deep learning algorithms.
• Strong proficiency in advanced analytics, ML, deep learning, and Generative AI (GenAI).
• Minimum 4–6 years of experience in data science, AI, and analytics roles.
• Proven experience in building and deploying AI/ML models in production environments.
• Good proficiency in data visualization tools (Power BI, Tableau) to communicate insights effectively.
• Solid knowledge of relational databases (e.g., MySQL) for efficient data storage and querying.
• Experience with big data analytics frameworks, including PySpark and Spark clusters.
• Strong skills in data mining, feature engineering, and time‑series forecasting.
• Good working knowledge of Linux operating systems.
• Exposure to full‑stack web development is considered a plus.

Must have technical/ professional qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• 4–6 years of hands‑on experience developing and deploying AI/ML models in production environments.
• Strong proficiency in ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit‑learn).
• Solid experience in Generative AI and NLP, including working with large language models and frameworks (e.g., Hugging Face, LangChain, OpenAI APIs, agent‑based frameworks).
• Experience with big data processing and distributed computing (e.g., Apache Spark or equivalent).
• Practical experience deploying AI and data solutions on cloud platforms (e.g., AWS, Azure, GCP) and/or on‑prem environments.
• Working knowledge of MLOps tools and practices for CI/CD, monitoring, and model lifecycle management

Not a perfect fit?

Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.

Who we are

We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.

Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.

If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.

Together we can.