Data Scientist

About The Role

We are hiring Data Scientists for our client who is a performance-driven global organization transforming how leading U.S. banks maximize profitability through AI. Through proprietary solutions, they have helped major financial institutions recover hundreds of millions in annual pre-tax income by eliminating decision-rule inefficiencies, uncovering risk blind spots, and optimizing financial operations.

What You’ll Do

• Analyze massive datasets from top U.S. banks to detect hidden opportunities in Digital Marketing, Risk Management, and Operations.
• Build and refine machine learning models that drive measurable improvements in financial operations.
• Collaborate with AI engineers and domain experts to deploy models in production environments.
• Contribute to projects that generate tangible value—credit loss reduction, rewards optimization, and more.
• Present findings to internal teams and client stakeholders to drive transformation.

What We’re Looking For

• Strong proficiency in Python, SQL, and data science libraries (Pandas, Scikit-learn, PySpark, etc.).
• Experience working with large datasets and translating data into actionable insights.
• Strong problem-solving skills and business acumen.
• Interest in applying Analytics, Machine Learning, and AI to real-world financial challenges.
• Pursuing or recently completed a degree in Data Science, Computer Science, Electronic Engineering, Statistics, or related field.

Why This Role Rocks

• Real Impact: Your work directly drives multi-million-dollar outcomes.
• Growth Opportunity: Strong performers will be considered for long-term, full-time roles.
• High Autonomy: Exposure to end-to-end workflows in regulated environments.
• Performance-Linked Rewards: Competitive compensation tied to results.

Apply Now to join a team where data, AI, and impact meet at scale.