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Senior Data Scientist Lead - (Credit Risk & Analytics)

Senior Data Scientist Lead - (Credit Risk & Analytics)

ConfidentialChennai, Bengaluru / Bangalore
30+ days ago
Job description

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.
  • Skills Required

    Python, Statistical Modelling, Machine Learning

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