IIFL : Data Scientist

Brief Description of position:

Preferably from Credit Risk Modelling Background, Fintech ,Startups

Roles & Responsibilities:

  • Expertise in machine learning, deep learning, natural language processing, text analytics.
  • To be able to develop robust, scalable and maintainable machine learning models to answer business problems against large data sets
  • Experience in credit risk modelling is preferred.
  • Experience working with some of the ML/DL Algorithms such as Linear/Ridge/Lasso Regression, Logistic Regression, KNN, Naïve Bayesian, Decision Trees, Random Forest, SVM, RNN,CNN, K means/ Hierarichal Clustering.The ideal candidate will have a wide coverage of the different methods/models, and an in depth knowledge of some algorithms including mathematics behind them
  • Experience in handling different datasets and generating actionable insights
  • Experience in using transfer learning
  • Perform elements of data cleaning, feature selection and feature engineering
  • Creating dynamic decision making processes and trying to predict future events from the historical data.
  • Benchmark, apply, and test algorithms against success metrics. Interpret the results  in terms of relating those metrics to the business process


  • B.Tech/M.Tech/ MS( Mathematics/Statistics/Economics) from premier institute.
  • Fluent with the Python ML stack and SQL
  • Background in machine learning / deep
  • Strong Computer Science fundamentals (algorithms, data structures)
  • Mathematical background (probability & statistics) a strong plus
  • Good communications and interpersonal skills a must

Minimum Work Experience:
1 year
Maximum Work Experience:
8 years
Minimum Qualification:
Maximum CTC (in lakhs per annum):
Mandatory SkillSet:
Python, Machine Learning, Deep Learning.


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