Data Scientist

About The Role

We are hiring data scientists for our client, which 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.
• Degree in

  data science, computer science, electronic engineering, statistics, or a 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