Embark on a transformative journey as “
Data scientist - AVP-Acq. Credit Strategy
” at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences.

Credit, Fraud & Decision Management (CFDM) is a core analytics and decisioning organization supporting Barclays’ US Consumer Banking businesses. Within CFDM, Acquisition team develops underwriting and line assignment strategies leveraging bureau data, application data, alternative data, partner data and other new data sources to making profitable decisions for bank.

To be successful in this role as a “
Data Scientist
AVP-Acq. Credit Strategy
“, you should possess the following skillsets:
- Robust knowledge of Python, SAS/SQL, AI tools or other relevant statistical tools, powerpoint and Excel.
- Analytical experience in financial services industry; credit card acquisitions experience preferred
- Strong communication skills & ability to work independently




- Attention to detail
- Ability to work with multiple stakeholders
- Project management skills
- Ability to thrive in a dynamic and fast paced environment

Some Other Highly Valued Skills Include
- Previous experience in Financial Services Industry and Credit Risk Management, preferably in the Retail Point Of Sales and Equal Pay Loan segment
- Strong analytical, technical and statistical skills with proven ability to process vast amounts of data into meaningful information

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

This role is based in our Gurugram office.

Purpose of the role
To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging

📌 Data scientist (Gurugram)
🏢 Barclays
📍 Gurugram