Senior Data Scientist

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

About Us

Komodo Consulting is a technology and strategy firm specializing in Digital Transformation. Operating in Portugal and Poland, we provide IT Consulting & Nearshore services. We support both public and private sector organizations through two main areas:

• Consulting — with a focus on strategy, investment analysis, and digital process improvement;
• IT Team Augmentation — helping clients scale and strengthen their tech teams.

The Project

We are seeking a Senior Data Scientist to work on a banking project for a Financial Company.

You will have the following responsibilities:

• Own projects end-to-end, from initial data exploration and problem formulation through to modelling, evaluation, and handoff to the MLOps team for production deployment;
• Engage directly with business stakeholders to understand requirements, translate them into data science problems, and present results clearly and effectively;
• Develop and maintain clean, well-structured Python code, applying object-oriented programming principles and best practices;
• Work with large-scale data stored in a Data Lake, leveraging PySpark and Databricks for data processing and model development;
• Define and monitor model performance metrics, building dashboards to track model behaviour over time;
• Manage the full lifecycle of assigned models, ensuring ongoing maintenance, iteration, and continuous improvement;
• Contribute to GenAI initiatives alongside traditional Data Science projects, adapting fluidly between both contexts.

You need to have the following skills/experience:

• Proven hands-on experience delivering end-to-end Data Science projects, from data exploration to solution deployment;
• Strong Python skills, including object-oriented programming and the development of reusable, production-quality 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 statistical methods;
• Experience defining model monitoring strategies and building performance dashboards;
• Ability to work autonomously and take full ownership of assigned projects, from requirements gathering to final delivery;
• Strong communication skills, with experience engaging directly with business areas;
• Experience with Databricks and MLflow is a plus;
• Exposure to GenAI projects, even if partial, is valued.

Location

Lisbon (Hybrid - 3 days per week at the office).