Job Title: Data Scientist – Tribe AI

Department: ISPL ITG Fortis ADM

About Business Line/Function

BNP Paribas Fortis is a key player on the Belgian market and a driver of economic growth. Within the entity The Tribe Artificial Intelligence aims to deliver an effective and seamless banking experience for our customers and empower our employees through AI. Our expert team of approximately 90 experts includes Data Scientists, Machine Learning Engineers, Business Analysts, Scrum Masters, Product Owners and Managers. We develop AI applications to address various business challenges, including virtual assistants to enhance client experiences, advanced AI tools to support employee efficiency and creativity, and automation to optimize internal processes.

We are seeking a Data Scientist with a minimum of 3 years of experience in developing AI applications, including both generative and predictive AI.

Position Purpose

You help us make better use of our data through collection, labeling, curation, structuring, and feature engineering to improve our models.




You apply a range of analytical methods to answer business questions and improve our assets and models.
You support the deployment of AI applications to production using a comprehensive tool stack (CI/CD pipeline, AirFlow, MlFlow, …) and help establish effective model monitoring, including tracking historical input and target data to detect drift.
You help automate the modeling pipeline.

Responsibilities

Direct Responsibilities

You help us make better use of our data through collection, labeling, curation, structuring, and feature engineering to improve our models.
You apply a range of analytical methods to answer business questions and improve our assets and models.
You support the deployment of AI applications to production using a comprehensive tool stack (CI/CD pipeline, AirFlow, MlFlow, …) and help establish effective model monitoring, including tracking historical input and target data to detect drift.
You hel

📌 Data Scientist (India)
🏢 BNP Paribas
📍 India