We collaborate with leading organisations that validate our social commitment and maintain quality standards that make us a benchmark in the constant search for excellence and positive impact in our sector.
We are looking for a Python Developer to join our team, someone who is passionate about designing and developing advanced solutions for process automation, data analysis, and informed decision-making.
Key Responsibilities:
- Develop robust Python solutions to automate and optimise processes.
- Apply Data Science techniques to analyse data, identify patterns, and generate insights.
- Build data pipelines, ETL processes, and system integrations.
- Integrate predictive analytics, classification, or optimisation models into production environments.
- Work with Large Language Models (LLMs) in use cases such as:
- Text processing and analysis.
- Automating workflows with unstructured information.
- Internal assistants and process support tools.
- Collaborate with IT, Data and business teams.
What are we looking for?
- Solid experience in Python.
- Knowledge of Data Science (data analysis, modelling, cleansing, and preparation).
- Experience with libraries such as pandas, numpy, scikit-learn or similar.
- API integration, experience with SQL/NoSQL, databases, and Git.
- A solution-oriented mindset focused on productive and scalable solutions.
- Intermediate level of English.
- Nice to have:
- Practical experience with LLMs and/or NLP.
- Deployment of models or analytical components in production.
- Knowledge of MLOps or Cloud environments.
What's in it for you at EOS?
- High-impact projects where Python and data are key.
- A solid, modern, and well-structured technological environment.
- On-site work with up to 50% remote working.
- Real exposure to solutions based on Data Science and LLMs.
- Hours: Monday to Thursday from 9:00 AM to 6:00 PM, Friday from 8:30 AM to 3:00 PM. Reduced summer schedule.
- You will benefit from a flexible remuneration plan including restaurant, transport and childcare tickets, health insurance. You will also have access to exclusive offers for EOS employees.
If you want to be part of our project, sign up!