€26k - €34k
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93,000+ live jobsData Scientist
Remote, Madrid·Added today (last checked 28 Oct)
61 open roles
Our summary
- Work mode
- Remote (Madrid)
- Contract
- Permanent
- Benefits
- Private health 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
Experience in Data Science and development of Machine Learning models.
Knowledge of Python and libraries such as Pandas, NumPy and scikit-learn.
Experience in analysis, transformation and data processing.
Good knowledge of statistics, evaluation metrics and SQL.
Experience using Git in collaborative environments.
Nice to have
Valuable experience with AWS, GitFlow, MLOps and banking or insurance environments.
Pay & benefits
What you'll get
> Immediate start with a leading company in the IT sector with a high degree of expertise in the Data & Analytics area, where we are in the midst of an expansion process.
> Job stability through an indefinite contract with wide opportunities for professional development and growth within the company.
> 100% remote working modality from anywhere in Spain.
> Very competitive salary package in accordance with the candidate's value.
> Possibility of accessing flexible compensation plans (restaurant card, transport card, and childcare card).
> Medical insurance and GYMPASS.
> Training plans adapted to each profile (technical courses, official certifications, language training...).
> Special discount portal for employees.
> Good working environment and a very collaborative setting.
Discover this offer and many more on our Careers Page. 🚀
The role
At Logicalis Spain we are looking for a Data Scientist. The Logicalis Data & Analytics team works with national and international clients, carrying out important projects in data engineering, artificial intelligence and advanced analytics, data strategy, governance, integration and architecture, covering the entire data lifecycle.
What you'll do
Develop, train and evaluate Machine Learning models to respond to business needs.
Perform exploratory analysis and prepare data from different data sources for subsequent exploitation.
Participate in the entire model lifecycle, from design to production deployment.
Work alongside Data & AI teams applying development best practices and versioning.
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