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Generative AI Data Scientist

On-site in Getafe·Full-time·Added 12 days ago (last checked 22 Oct)

Capgemini

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Our summary

Work mode: On-site, Getafe
Contract: Full-time
English: Required
Education: University degree
Benefits: Private health insurance, life insurance, flexible pay plan, meal vouchers, gym access

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Skills

This job advert was originally written in Spanish.

Requirements

What we're looking for

Degree in Engineering, Mathematics, Physics, Computer Science, or similar disciplines.
Experience in Data Science, Machine Learning, and Artificial Intelligence projects.
Practical knowledge of tools and languages such as Python, SQL, Spark, or similar.
Ability to transform data into valuable information for decision-making and the optimization of business processes.
Knowledge in Generative AI, including the use and integration of LLM models, intelligent automation, and natural language-based solutions.
Experience in data preparation and exploitation, development of predictive algorithms, and model evaluation.
Ability to identify innovation opportunities through artificial intelligence technologies.
Professional English proficiency.

Pay & benefits

What you'll get

We value all applications and offer on-site, online, and certified training. Even if you do not meet 100% of the requirements, we want to meet you!

We have a very comprehensive catalog of Development and Work-Life Balance measures, such as, for example, among others:

Continuous training, you will enjoy Mylearning and Capgemini University and our Digital Campuses and Professional Communities. You will have access to platforms such as: Coursera, Udemy, Pluralsight, Harvard Manager Mentor, Education First for languages (English, French, German...) among others!
Flexible Compensation Plan (medical insurance, transport, training, restaurant card or meal subsidy, nursery...).
24 days of vacation + 2 personal days + 24 and 31 December + option to buy up to 7 vacation days per year.
Wellbeing HUB - Includes policies and actions for physical (Wellhub) and mental health.
FlexAbroad: possibility to work remotely from another country for 45 days.
Life and Accident Insurance.

The role

Capgemini Engineering, a world leader in engineering services, brings together teams of engineers, scientists, and architects to help the world's most innovative companies unlock their potential and build a better future. From autonomous cars to wildfire prevention solutions, our experts in digital technologies and software go beyond the conventional, providing unique R&D and engineering services across all industries. Join the team and advance your career in a company with growth opportunities, where you can make a difference and no two days are the same.

We are looking for a Professional specialized in Data Science and Machine Learning, with experience in the design, development, and implementation of advanced data analysis and artificial intelligence models.

Location: Getafe, Madrid.

Design, develop, and implement Machine Learning and advanced analytics models.
Transform complex data into valuable insights to support strategic decision-making.
Analyze and exploit large volumes of information from various sources.
Participate in Generative AI projects, integrating LLM models and natural language solutions.
Collaborate with business and technology teams to understand needs, define use cases, and convert them into scalable solutions.

How you'll work

On-site work model.

Hiring process

1 interview

Submitting your application takes 3 to 5 minutes (name, contact details, CV and optional cover letter).
When you accept the offer you receive a pre-boarding plan and an invitation to the monthly RISE welcome event.

About Capgemini

Capgemini is a global leader in consulting, technology services and digital transformation, offering an array of integrated services that combine technology with deep sector expertise. The group describes itself as a global leader in business and technology transformation, powered by AI, and serves industries including aerospace and defense, banking and capital markets, consumer products, energy and utilities, healthcare, insurance, manufacturing, public sector, retail and telecoms.

Its portfolio of brands includes Capgemini Invent, its powerhouse of innovation, design and transformation, Capgemini Engineering, which helps the world's largest innovators engineer the products and services of tomorrow, as well as frog and Sogeti. Its services span cloud, cybersecurity, data and artificial intelligence, digital sovereignty, enterprise management, intelligent industry and sustainable business.

Industry: IT Consulting
Employees: 350,000

In their own words

Additional information

Why Capgemini Engineering? Our commitments and priorities

Our Equality Plan and Code of Ethics guarantee inclusive and non-discriminatory processes, promoting talent in a multicultural and accessible environment for people with disabilities (we positively value having a disability certificate).

Capgemini is a global partner in business and technological transformation, helping organizations accelerate their dual transition to a digital and sustainable world, generating a tangible impact on both companies and society. We are a responsible and diverse group, with 340,000 professionals in more than 50 countries. With over 55 years of experience, our clients trust Capgemini to leverage the value of technology and cover all their business needs. We offer comprehensive solutions that range from strategy and design to engineering, driven by our leading capabilities in artificial intelligence, generative AI, cloud, and data, along with deep industry knowledge and a strong network of partners.

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