Data Scientist - AVP-Acq. Credit Strategy

We are seeking a talented Data Scientist to join our Acquisition Credit Strategy team at Barclays in Gurugram.

As a Data Scientist - AVP-Acq. Credit Strategy, you will play a key role in driving innovation and excellence across the organisation by leveraging data analytics and machine learning techniques to extract valuable insights from our data reserves.

Responsibilities

• Identify, collect, and extract data from various sources, including internal and external sources
• Perform data cleaning, wrangling, and transformation to ensure data quality and suitability for analysis
• Develop and maintain efficient data pipelines for automated data acquisition and processing
• Design and conduct statistical and machine learning models to analyse patterns, trends, and relationships in the data
• Develop and implement predictive models to forecast future outcomes and identify potential risks and opportunities
• Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science

Assistant Vice President Expectations

• Advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness
• Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver on work that impacts the whole business function
• Set objectives and coach employees in pursuit of those objectives, appraise performance relative to objectives, and determine reward outcomes

Requirements

• Strong knowledge of Python, SAS/SQL, AI tools, or other relevant statistical tools, PowerPoint, and Excel
• Analytical experience in the financial services industry; credit card acquisitions experience preferred
• Strong communication skills and 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

Preferred Skills

• Previous experience in the 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