Chief Data Strategist

2 days ago

Ajmer, Rajasthan, India beBeeDataScience Full time ₹ 12,00,000 - ₹ 17,50,000
Data Science Expert Wanted

We are seeking a highly skilled Data Science professional who can effectively leverage data to drive business growth and informed decision-making.

As a key member of our team, you will collaborate with Digital, Marketing, Analytics, and Operations teams to analyze investor and partner data, build predictive models, and develop actionable insights. The ideal candidate should possess expertise in machine learning, statistical modeling, and data visualization, as well as a strong understanding of financial services, customer behavior analytics, and risk modeling.

  • Analyze investor behaviour and distribution partner data to identify trends and opportunities. Develop models for investor segmentation, churn prediction, and customer lifetime value estimation.
  • Measure campaign effectiveness, optimize targeting strategies, and enhance personalization. Support the team with automation, early warning signals, and fraud detection models.
  • Implement text mining and sentiment analysis on investor feedback, social media, and complaint data. Design dashboards and reports in collaboration with the MIS team to provide actionable insights.
  • Ensure data accuracy, security, and compliance with regulatory requirements.

Requirements:

Technical Skills
  • 6-8 years of experience in data science, analytics, or risk modeling in the financial services sector.
  • Programming knowledge of Python, R, SAS (Enterprise Guide, E-Miner, VIYA).
  • Databases: SQL Server, MongoDB.
  • Visualization: R-Shiny, Power BI, Excel.
  • Machine Learning & Statistical Techniques. Regression ( Linear, Logistic).
  • Good to have ensemble methods: Random Forest, Gradient Boosting, NLP & Text Mining-Sentiment Analysis, Fuzzy, String Matching etc.

Benefits:

  • Strong understanding of investor behavior, digital customer journeys, and financial product analytics.
  • Hands-on experience in automating data pipelines, web scraping, and predictive analytics.
  • Ability to translate complex data insights into clear business strategies.

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