Senior Data Scientist — End-to-End ML, PySpark & GenAI (Lisbon Hybrid)

Komodo Consulting; Lisboa; Hybrid; EUR 65,000 - 100,000; Full time

Job summary

Komodo Consulting in Lisbon is seeking a Senior Data Scientist to work on a banking project for a Financial Company.

You will own projects end-to-end from data exploration to modelling and handoff to the MLOps team for production deployment. The role requires strong Python, PySpark, Databricks, ML/DL knowledge, and the ability to engage with business stakeholders. This hybrid position offers three days in the office per week, with GenAI initiatives valued.

Qualifications

• End-to-end DS projects delivery experience.
• Strong Python, including OOP and production-grade functions.
• Experience with PySpark and big data processing environments.
• Solid knowledge of ML and DL algorithms.
• Strong foundation in exploratory data analysis and applied statistics.
• Experience defining model monitoring strategies and dashboards.

Responsibilities

• Own projects end-to-end from initial data exploration to modelling 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 using OOP and best practices.
• Work with large-scale data in a Data Lake using PySpark and Databricks.
• Define and monitor model performance metrics and dashboards.
• Manage the full lifecycle of assigned models and iterate for improvements.
• Contribute to GenAI initiatives alongside traditional Data Science projects.

Skills

Python

PySpark

Databricks

Machine Learning

Deep Learning

Exploratory Data Analysis

Model Monitoring

Communication

GenAI

Tools

MLflow

Databricks

Job description

Komodo Consulting in Lisbon is seeking a Senior Data Scientist to work on a banking project for a Financial Company.

You will own projects end-to-end from data exploration to modelling and handoff to the MLOps team for production deployment. The role requires strong Python, PySpark, Databricks, ML/DL knowledge, and the ability to engage with business stakeholders. This hybrid position offers three days in the office per week, with GenAI initiatives valued.