Hybrid Data Science & Analytics Lead - GenAI & Automation

Vodafone; Madrid; Híbrido; EUR 50.000 - 70.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Bonus on top of salary

Flexible working hours

Intensive summer schedule

Remote work options

Private health and life insurance

25 vacation days

Optional pension plan

Access to online learning platform

Descripción de la vacante

Vodafone is looking for a professional to enhance business outcomes through data science and analytics in Madrid. This role involves building data science models, managing analytics portfolios, and collaborating with stakeholders to tailor analytics solutions.

The candidate should have strong communication skills, proficiency in Python, and experience in Machine Learning. The position offers a hybrid work model, flexible hours, and substantial benefits.

Formación

• Hands-on proficiency in Python for data analysis and AI/ML solution development.
• Experience with Cloud services like GCP, Azure, or AWS.
• Working knowledge of Machine Learning and GenAI solutions.
• Experience in defining and supporting end-to-end analytics or AI products.
• Proven experience collaborating across business and delivery teams.

Responsabilidades

• Identify opportunities to improve business outcomes using analytics.
• Build and deliver data science and GenAI models.
• Manage stakeholder engagement and analytics needs.
• Specifying and delivering analytical products and services.
• Maintain knowledge of emerging trends in analytics.

Conocimientos

Agile methodologies

Strong communication skills

Storytelling with data

Herramientas

Python

GCP

Azure

AWS

Descripción del empleo

Vodafone is looking for a professional to enhance business outcomes through data science and analytics in Madrid. This role involves building data science models, managing analytics portfolios, and collaborating with stakeholders to tailor analytics solutions.

The candidate should have strong communication skills, proficiency in Python, and experience in Machine Learning. The position offers a hybrid work model, flexible hours, and substantial benefits.