big data scientist

We are looking for a Data Scientist who will support our customer value management teams with data-driven insights.

Key accountabilities and decision ownership 

•    Extract, analyze, and interpret large-scale datasets to drive optimization, automation, and data-driven decision making.
•    Collaborate with business stakeholders and technical teams to enhance customer journeys and commercial strategies through AI and analytics.
•    Translate business problems into analytical frameworks, define hypotheses, and develop scalable Machine Learning solutions.
•    Communicate insights, recommendations, and technical findings effectively to both technical and non-technical audiences.

Key performance indicators

•    Deliver high-quality Machine Learning and AI solutions that generate measurable business value and commercial impact.

•    Translate analytical outcomes into measurable business KPIs such as revenue uplift, customer retention, operational efficiency, and customer experience improvement.

•    Act as a strong advocate for data-driven decision making across business and customer-facing functions.

Who you are

Core competencies, knowledge and experience

•    Proven ability to lead data and AI projects from concept to production deployment and measurable business impact.
•    Strong analytical thinking and problem-solving skills, with attention to detail and a results-oriented mindset. 
•    Experience designing experiments, validating hypotheses, and measuring the commercial impact of analytical solutions. 
•    Creative and thinker with strong collaboration and stakeholder management skills in cross-functional environments. 
•    Excellent verbal and written communication skills in English, with the ability to simplify complex concepts for business audiences.

Technical / professional qualifications

•    3+ years of experience in data analysis, statistical modelling, and Machine Learning solution development
•    Master’s Degree or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, or another quantitative discipline.
•    Solid programming skills in Python and experience with SQL and large-scale data manipulation.
•    Hands-on experience with Machine Learning frameworks and AI libraries such as Scikit-learn, XGBoost, TensorFlow, Keras, H2O, or similar.

•  Experience working with Cloud Platforms and Apache Spark will be considered a plus.

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.

What's in it for you

• Award-winning work environment -certified #1 Top Employer in Greece 

• Competitive pay, bonus & remuneration package 

• Private Health & Medical Insurance  

• Hybrid way of working: a blend of remote and office-based working, including the option to work from abroad 

• Unlimited connectivity with our mobile, landline and Vodafone TV services – Experience first what our customers love 

• Unlimited access to learning resources and trainings 

• Vodafone Parental Leave: 16 weeks of fully paid parental leave to all employees regardless of gender, sexual orientation or length of service  

• Remote work equipment to help you create a comfortable, ergonomic workspace at home  

• Spirit of Vodafone days: dedicated time to pause, develop new skills and connect with our teams, values and services 

• Extra days off: Vodafone Day, Family Day, Volunteering Day  

• Office amenities (subject to the office location): such as restaurant, beauty corner, gym and parking 

• Special employee offers and discounts