Field Assistant jobs

Data Science Head – Collections

Are you an accomplished data scientist who excels in dynamic environments, leads with a clear purpose, and adapts swiftly? Do you merge technical expertise with a strong product sense and are passionate about enhancing customer experiences through data, insights, and AI? Our collections business is expanding its late-stage collections strategy, aiming to mitigate negative impairment and margin impact from debt counselling, and we are looking for a visionary leader to drive this initiative.

Collections play a crucial role in the credit life cycle, focusing on minimizing impairments, maximizing recoveries, reducing collection costs, and optimizing digital collections capabilities across various platforms (such as NAVi agents/bots, personalized solutions, secured chat, advisors on AOP, etc.). We seek a candidate who can lead with vision, develop advanced machine learning solutions, and drive meaningful innovation, shaping the collections strategy for 2030.

• Proven experience leading data science teams in product-centric environments.
• Extensive background in machine learning, predictive modelling, and natural language processing (NLP).
• Familiarity with cloud platforms (AWS, Azure, GCP) and modern technology stacks.
• Ability to collaborate across disciplines, including engineering, product, and operations.
• A degree in Data Science, Computer Science, Statistics, or a related field.

• A variety of platform-related data from APNs, SMS, email, Google search data, etc.
• Rich conversational datasets from NAVi’s chat, voice, and search interactions.
• A collaborative team culture that values experimentation and ownership.
• Comprehensive understanding of the debt counseling process from application to rehabilitation.
• External data and systems for outsourcing data to external debt collectors.
• Scalable cloud infrastructure and modern ML tools.
• Feedback from millions of customer interactions.
• A mission-driven environment where innovation directly improves lives.

• Manage a high-performing team of data scientists and business intelligence analysts.
• Represent the collections CDAO at various executive committees.
• Contribute to the collection’s strategy for early risk identification of high-risk customers, late-stage collections, and debt counselling.
• Define and uphold strategies to assist customers experiencing financial distress.
• Foster team development through career progression and developmental plans.
• Lead the data science strategy for the Retail Collections Business, shaping the customer journey from early risk identification to debt rehabilitation.
• If you are ready to make a significant impact and shape the future of collections, we would love to hear from you.

27/11/25