What You'll Do :
- Guide and empower : Lead and mentor a team of data scientists and analysts, fostering their growth and expertise.
- Uncover hidden insights and business findings : Analyze diverse data sources, including customer data, cases, and stakeholder feedback, to extract valuable insights.
- Bridge the gap : Collaborate with business partners to design and implement data-driven solutions that tackle emerging business challenges.
- Automate for success : Develop intelligent, scalable, and automated solutions using your data science skills.
- Tech-savvy collaboration : Work with other technology leaders and engineers to define requirements and prioritize capabilities based on data analysis and business needs.
- Project ownership : Independently lead analytics and data science projects, setting goals, estimating benefits, and managing timelines.
- Communication is key : Clearly communicate complex findings and actionable outcomes to leadership, peers, stakeholders etc..
Who You Are :
Data Science Rockstar : 4+ years of experience in advanced analytics, statistical modelling, and machine learning.Experience in Credit Risk : In-depth understanding of the credit risk lifecycle, from origination to debt collection in the lending domain(b2c).-Non-NegotiableTech know-how (must) : Proficiency in Python, SQL / NoSQL, ML algorithms, big data concepts, and cloud implementations experience and expertise.Always Learning : Continuously seeks out new knowledge, ideas, and feedback to build personal expertise.Leadership & Communication : Strong organizational skills, follow-through, and exceptional written, verbal, and interpersonal communication.Problem-Solving Powerhouse : High emotional intelligence, can-do attitude, and creative approach to solving problems.Self-starter : Takes ownership, drives projects with minimal guidance, and focuses on high-impact work.Education : Preference would be given to premium educational institute candidatesBonus Points :
Collections and Digital Channels experience.Big data and cloud computing experience (Spark, Hadoop, MapReduce, PIG, HIVE).Prior Credit Risk and Credit score domain experience.Skills Required
Python, Statistical Modelling, Machine Learning