Data Scientist

🕒 June 30

🇪🇸 Spain – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 33%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Capgemini

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1967

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

📋 Description

• Diseñar, desarrollar e implementar modelos de machine learning y deep learning para analítica predictiva y clasificación. • Desarrollar y ajustar soluciones de NLP, incluyendo trabajo con LLMs. • Realizar análisis de datos avanzados para la identificación de insights y soporte a decisiones estratégicas. • Escribir código eficiente y escalable en Python y PySpark. • Utilizar SQL para extracción, manipulación y consulta de grandes volúmenes de datos. • Construir y desplegar modelos mediante servicios de AWS (SageMaker, Glue, Lambda, entre otros). • Colaborar con equipos de data engineers, data analysts y stakeholders. • Mantenerse al día en tendencias y tecnologías de data science, IA y cloud computing.

🎯 Requirements

• Experiencia en Machine Learning, Deep Learning y NLP/LLMs. • Conocimientos sólidos en Python y PySpark. • SQL avanzado. • Experiencia con AWS (SageMaker, Glue, Lambda). • Capacidad de realizar análisis complejos y comunicar resultados. • Conocimientos de Git o herramientas de control de versiones. • Grado o Máster en Computer Science, Data Science, Statistics. • Inglés B2.

🏖️ Benefits

• Contrato indefinido. • Vale guardería (hasta 600 € b/a). • Ayuda comida (1.200 € b/a). • Formación técnica, en habilidades e idiomas. • Plan de carrera real y adaptado a tu rol.

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