Data Scientist

We are looking for a

to join a dynamic technology team supporting data-driven solutions within a global financial services environment.

In this role, you will work with large and complex datasets to develop analytical models, identify insights, and create solutions that help automate and improve business processes.

This position offers the opportunity to collaborate with technology and business teams on innovative solutions involving data analysis, machine learning, automation, and predictive modeling.

You will contribute to projects focused on improving operational efficiency, managing business processes and exceptions, and supporting informed decision-making across the organization.

We are looking for someone with strong data science, analytical, and problem-solving skills, who is comfortable working in a fast-paced technology environment and collaborating with cross-functional teams.

Hybrid — in-office presence required 3 days/week

The candidate will work within a machine learning team/squad developing Artificial Intelligence solutions, including ML and Gen AI.

The candidate should be familiar with Python development, predictive analytics, and prompt engineering, and should be able to work with different clients and subject matter experts to understand business requirements, develop proper Python code, and build machine learning models with proven evidence and analysis.

Strong candidates will be familiar with the machine learning model / Gen AI-based solution lifecycle and maintenance, including ongoing monitoring.

• Contribute to the development and maintenance of Machine Learning models for business problems
• Contribute to model evaluation, parameter tuning, feature selection, and model calibration experiments for predictive analytics projects