
Role: Data Scientist - BFSI (Bureau Analytics)
We are looking for a highly motivated Data Scientist with strong expertise in bureau data and advanced analytics to drive data-driven decision-making in the BFSI domain. The ideal candidate will combine business understanding with technical depth in machine learning and statistical modeling, while also mentoring a growing analytics team.
Key Responsibilities:
- Translate complex business problems into scalable data science and analytics solutions
- Work extensively with bureau data to derive actionable insights
- Mentor and train data scientists and analysts within the team
- Research, evaluate, and implement machine learning and AI algorithms
- Build and deploy statistical and ML models using Python, R, Spark, or Databricks
- Develop a deep understanding of business drivers and decision-making frameworks
- Collaborate cross-functionally with Credit, Policy, Collections, Operations, and Product teams
- Present insights, models, and recommendations to senior stakeholders
Desired Skills & Experience:
- 4+ years of hands-on experience in data analysis (bureau data preferred) within BFSI
- Strong foundation in machine learning algorithms (GBM, Logistic Regression, Linear Regression, Deep Learning)
- Proficiency in Python/R with experience in model development and deployment
- Excellent problem-solving, analytical thinking, and data interpretation skills
- Strong communication and stakeholder management abilities
- Experience leading or mentoring data science/analytics teams is preferred
- Familiarity with cloud platforms such as AWS is a plus
Educational background in Statistics, Computer Science, or related fields
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