The English-language job board for Spain

Data Scientist

Remote, Madrid·Added today (last checked 28 Oct)

Our summary

Work mode
Remote (Madrid)
Contract
Permanent
Benefits
Private health insurance, flexible pay plan, meal vouchers, gym access

Visa options

  • The ad doesn’t mention sponsorship

    Not a refusal, but not a yes. Worth asking in your first message.

Find jobs with visa support

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.

WhatsApp