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Capgemini Engineering is a world leader in engineering services, bringing together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. Our digital and software technology experts deliver R&D and engineering services across industries.
Hybrid Intelligence is an international team of data and artificial intelligence experts. Our work combines applied mathematics, scientific computing, AI, and software engineering to deliver multidisciplinary solutions. We are dedicated to creating a diverse environment and are proud to offer equal opportunities.
About The Role
We are looking for a Senior Data Scientist to join our team. You will work with a team of experts where you can learn and develop professionally while participating in the growth and expansion of the team.
Your profile
* PhD or graduates in mathematics, physics, engineering, computer science, or related fields.
* At least 2 years of previous experience as a Data Scientist. Excellent programming skills (essential) in R, Python (pandas, numpy, matplotlib, scikit-learn), experience in object-oriented programming and pySpark.
* Experience in carrying out projects involving Machine Learning algorithms, ideally in a cloud environment (AWS, Azure or GCP) with distributed computing.
* Proficiency in data handling, including cleaning, preprocessing, and transforming raw data into usable formats for analysis and modeling.
* Experience in developing mathematical models and predictive algorithms (optimization, supervised and unsupervised models, clustering, neural networks...), Deep Learning, MLOps is valued.
* Knowledge in natural language processing (NLP) and Large Language Models (LLMs) is a plus.
* Proficiency in English and Spanish and strong communication skills.
* Location: Sevilla
We value all applications and encourage candidates from diverse backgrounds to apply. Having a disability certificate will be positively considered as part of our inclusion and diversity policy.
We offer an extensive range of training opportunities, including in-person, online, and certification courses. Even if you don\'t meet 100% of the required skills, we\'d love to get to know you! Our commitment to inclusion and equal opportunities is reflected in our Equality Plan and Ethical Code, which guarantee professional development and equal opportunities for selection in an environment free from discrimination based on ethnicity, nationality, social origin, age, sexual orientation, gender expression, religion, or any other personal, physical, or social circumstance.
Why You\'ll Love Working Here
We offer a comprehensive set of development and work-life balance benefits, including (but not limited to):
* Buddy Program to support you during your first steps with us.
* Generous time off: 24 vacation days + 2 personal days + December 24th and 31st off. You also have the option to purchase up to 7 additional vacation days per year.
* Continuous learning opportunities through MyLearning, Capgemini University, and our Digital Campuses. You\'ll have access to platforms such as Coursera, Udemy, Pluralsight, Harvard Manager Mentor, and Education First for language learning (English, French, German, etc.).
* A global DATA & AI community, where you can collaborate with experts from around the world.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Engineering and Information Technology
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