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-Negotiable***
- Tech know-how (must): Proficiency in Python, SQL/NoSQL, ML algorithms, big data concepts, and cloud implementations experience and expertise.
- Always Learning: Continuously seeks out current 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 candidates

Bonus 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.

📌 Senior Data Scientist Lead - (Credit Risk & Analytics) (Chennai)
🏢 Vantageiq Technologies Opc
📍 Chennai