Data Scientist

We are looking for a Data Scientist to join a strategic AI and GenAI project within the financial services sector, working closely with MLOps and Data Engineering teams .

The role focuses on developing advanced models and ensuring they are scalable, production-ready, and aligned with modern data and ML architectures .

Role Description

As a Data Scientist, you will work with large volumes of data to develop predictive models and machine learning solutions .

You will be part of a modern ecosystem where models are deployed into production through robust pipelines , collaborating closely with MLOps and Data Engineers .

Responsibilities

• Develop, train, and validate machine learning models for business use cases
• Perform exploratory data analysis (EDA) and feature engineering on complex datasets
• Collaborate with Data Engineers on data preparation and transformation at scale
• Work with MLOps teams to industrialize, deploy, and monitor models
• Contribute to the continuous improvement of ML pipelines (testing, versioning, reproducibility)
• Communicate insights and recommendations to technical and business stakeholders

Tech Stack / Skills

• Strong experience with Python (pandas, numpy, scikit-learn or similar frameworks)
• Solid knowledge of SQL and working with large datasets
• Experience developing machine learning models (supervised and unsupervised)
• Familiarity with cloud environments (AWS, GCP, or Azure)
• Experience working in production environments with ML pipelines
• Knowledge of MLOps tools (MLflow, Airflow, Kubeflow, or similar)