Data Scientist
hace 6 días
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
**Hybrid Intelligence**is an international team of data and artificial intelligence experts. Our work is a fusion of applied mathematics, scientific computing, artificial intelligence, and software engineering. We deliver revolutionary and multidisciplinary solutions for our clients driven by research and development, addressing generational challenges of humanity, from discovering new medical treatments to harnessing green energy. We are dedicated to creating a diverse environment and are proud to offer equal opportunities. We appreciate people for who they are and value the diversity they bring to the team.
**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 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.
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