Senior Data Scientist Lead - (Credit Risk & Analytics)

Title :

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 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 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.

Location:

1st Preference Chennai/ 2nd Preference Bangalore (Hybrid work model)