20 publicaciones de empleo destacadas de python engineer data domains en madrid, md (¡Están contratando!)

Applied Scientist Intern
TomTom —Madrid, Madrid provincia
- Trabajo híbrido
- Informática
- Investigación
- Máster
Solicitud rápida
6h
Senior Backend Engineer - AI SaaS
Landbot —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Español
- Azure
- Inglés
- Vacaciones pagadas
- Programa de recomendación
Solicitud rápida
3h
Data & AI Strategy Knowledge Graph Engineer Consultant/Manager
Accenture —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- Oficina
Senior Software Engineer
Once For All - Nalanda —Madrid, Madrid provincia
- Trabajo híbrido
- Español
- Azure
- Java
5d
Senior Software Engineer for EuroDrone Offboard Maintenance System Tools
Airbus Defence and Space SAU —Getafe, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Java
- Máster
- C++
Senior Business Intelligence Engineer, EU Stores CX Analytics & Automation
Amazon EU SARL (Spain Branch) —Madrid, Madrid provincia
- Jornada completa
- SQL
- AWS
- Machine learning
PAM - Cyberark SME
Roche —Madrid, Madrid provincia
- Jornada completa
- Azure
- Informática
- DevOps
Data Engineering Manager
Prima —Madrid, Madrid provincia
- Teletrabajo
- SQL
- AWS
- Desarrollo de software
- Abono gimnasio
Solicitud rápida
Senior Data Practitioner (Data / Analytics Engineering) - BCN/ MAD/ MUC
ailylabs —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Oficina
- SQL
- AWS
Solicitud rápida
5d
Data Engineering Manager
Wunderman Thompson MAP —Madrid, Madrid provincia
- CRM software
- Azure
- Salesforce
Director, Data Engineering (Capital Markets)
JLL —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
13d
Business Analyst - Applications Identity and Access Management (Hybrid set up), Madrid (M, ES)
Swiss Re —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- Oficina
5d
Full-Stack Engineer // Contract // Remote
The Agile Monkeys —Madrid, Madrid provincia
- Teletrabajo
- Azure
- Inglés
- AWS
Databricks Platform Engineer
NN Group —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- DevOps
- Inglés
- Parking gratuito
- Seguro de vida
Technology Services Specialist (MDM Engineer)
Revolut —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Inglés
- Oficina
- Sistema operativo Windows
Backend Engineer
Dcycle —Madrid, Madrid provincia
- Trabajo híbrido
- DevOps
- SQL
- AWS
Onboard Safety Critical Software Engineer
Airbus Defence and Space SAU —Getafe, Madrid provincia
- Jornada completa
- Trabajo híbrido
- C++
- Scripting
- Agile
6d
Senior AI Engineer
Control Risks —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Inglés
- Investigación
- Máster
Solicitud rápida
13d
Senior AI Engineer
Simon-Kucher & Partners —Madrid, Madrid provincia
- Español
- Azure
- Informática
Platform Engineer (Java)
Revolut —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Informática
- Inglés
- Oficina

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Applied Scientist Intern

TomTom -
Madrid, Madrid provincia

Solicitud rápida

Detalles del empleo

Contrato en prácticas
Hace 6 horas

Cualificaciones

TensorFlow
Informática
Spark
Investigación
Máster
Machine learning
Usabilidad
NLP
Python

Descripción completa del empleo

The Applied Scientist Intern in the MAPS POIs team contributes to the research, experimentation, and development of data-driven and machine-learning solutions that enhance the accuracy, coverage, and usability of TomTom's maps and Points of Interest products. This internship gives you hands-on experience applying scientific and analytical methods to real-world problems at scale, working alongside Applied Scientists and Engineers on challenges that directly impact TomTom's products.

What you'll do:

You will work embedded in the POI team on concrete research and engineering tasks, with guidance from senior engineers/scientists. You will:

Explore and experiment with ML/AI approaches to solve POI-domain problems such as entity matching, address parsing, data quality assessment, or coverage analysis
Implement and evaluate models and algorithmic solutions on real-world, large-scale geospatial datasets
Design and run experiments, analyze results, and translate findings into clear insights, recommendations and implementation
Be part of the development of data pipelines and tooling that support model training, evaluation, and analysis
Collaborate with Applied Scientists, Engineers, and Product stakeholders to understand requirements and integrate your work into the broader team workflow
Document experiments, methodologies, and results clearly to support knowledge sharing within the team

What you'll need:

Currently enrolled in a Master's programme in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field
Solid grounding in machine learning fundamentals — supervised/unsupervised learning, model evaluation, feature engineering
Hands-on experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn (from coursework, research, or personal projects)
Programming proficiency in Python; experience with data manipulation libraries (pandas, NumPy, Spark is a plus)
Familiarity with NLP or embedding-based methods (e.g., Sentence Transformers, BERT-based models) is a strong plus
Interest in geospatial data, POI systems, addressing, or location intelligence
Analytical mindset with the ability to design experiments, interpret results critically, and communicate findings clearly
Collaborative and curious — comfortable asking questions, working iteratively, and learning from feedback

What you'll learn:

By the end of the internship you will have:

Worked on production-scale geospatial and POI data with real business impact
Gained experience in the full ML experimentation cycle - from problem framing and data analysis to model development and evaluation
Deepened your understanding of applied ML in a domain where data quality, scale, and semantic complexity are central challenges
Collaborated in a cross-functional team of scientists, engineers, and product managers

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Solicitud rápida

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Quiero recibir la alerta de empleo más reciente de python engineer data domains en madrid, md

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