Data Scientist – Model Development

A leading financial organization is seeking an experienced and skilled Data Scientist with expertise in model development. This role involves designing and implementing advanced models, analyzing large datasets, and leveraging AI and machine learning tools to create innovative solutions that enhance organizational performance and enable deep business insights.

Key Responsibilities:

Develop predictive, scoring, and advanced analytics models to optimize processes and support decision-making.

Analyze data and understand business processes using machine learning and advanced tools.

Collaborate closely with business and technology teams to identify challenges and develop tailored solutions.

Optimize, enhance, and maintain existing models.

Position Requirements:

At least 4 years of experience in Data Science roles, with a focus on model development – required.

Significant advantage for experience within financial organizations.

Strong proficiency in machine learning tools and programming languages such as Python and R.

Ability to work with SQL, conduct data investigations, and derive advanced insights.

High analytical skills, accuracy, and the ability to work well within a team.