Senior Data Scientist - Hybrid Lisbon | GenAI & Big Data

Komodo Consulting; Lisboa; Hybrid; EUR 45,000 - 70,000; Full time

Job summary

Komodo Consulting is seeking a Senior Data Scientist to join a banking project for a Financial Company in Lisbon. The role is hybrid with three days per week in the office, offering opportunities to lead end-to-end data science initiatives.

Ideal candidates will have strong Python skills, PySpark experience, and a solid ML/DL foundation, along with hands-on experience delivering production-ready solutions and stakeholder engagement.

Qualifications

• End-to-end data science project delivery experience.
• Strong Python skills with object-oriented programming and production-ready functions.
• Experience with PySpark and big data processing environments.
• Solid knowledge of machine learning and deep learning algorithms.
• Strong foundation in exploratory data analysis and applied statistics.

Responsibilities

• Own projects end-to-end, from data exploration to modelling, evaluation, and handoff to the MLOps team for production deployment.
• Engage with business stakeholders to understand requirements and present results clearly.
• Develop and maintain clean, well-structured Python code implementing OOP.
• Work with large-scale data stored in a Data Lake using PySpark and Databricks for processing and model development.
• Define and monitor model performance metrics and build dashboards for tracking over time.
• Manage the full lifecycle of assigned models, including maintenance and iteration.
• Contribute to GenAI initiatives alongside traditional data science projects.

Skills

Python

PySpark

Big data

ML & DL

EDA

Model monitoring

Communication with stakeholders

GenAI

Tools

Databricks

MLflow

Job description

Komodo Consulting is seeking a Senior Data Scientist to join a banking project for a Financial Company in Lisbon. The role is hybrid with three days per week in the office, offering opportunities to lead end-to-end data science initiatives.

Ideal candidates will have strong Python skills, PySpark experience, and a solid ML/DL foundation, along with hands-on experience delivering production-ready solutions and stakeholder engagement.