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App-based lending platform. ( AF1)

App-based lending platform. ( AF1)

Agency job
via Multi Recruit by Ayub Pasha
Bengaluru (Bangalore)
2 - 5 yrs
₹25L - ₹28L / yr
skill iconData Science
skill iconMachine Learning (ML)
Data Scientist
skill iconPython
Logistic regression
+2 more
  • Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
  • Implement data pipelines, new features, and algorithms that are critical to our production models
  • Create scalable strategies to deploy and execute your models
  • Write well designed, testable, efficient code
  • Identify valuable data sources and automate collection processes.
  • Undertake to preprocess of structured and unstructured data.
  • Analyze large amounts of information to discover trends and patterns.

 

Requirements:

  • 2+ years of experience in applied data science or engineering with a focus on machine learning
  • Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor, etc)
  • strong quantitative and programming skills with a product-driven sensibility

 

 

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A Fintech startup

A Fintech startup

Agency job
via Success Pact by Priya Sariyal
Remote, Bengaluru (Bangalore)
3 - 15 yrs
₹16L - ₹22L / yr
skill iconData Science
XGBoost
Retail banking
Random boosting
Gradient boosting
+2 more
  • 3-5yrs of practical DS experience working with varied data sets. Working with retail banking is preferred but not necessary.
  • Need to be strong in concepts of statistical modelling – particularly looking for practical knowledge learnt from work experience (should be able to give "rule of thumb" answers)
  • Strong problem solving skills and the ability to articulate really well.
  • Ideally, the data scientist should have interfaced with data engineering and model deployment teams to bring models / solutions to "live" in production.
  • Strong working knowledge of python ML stack is very important here.
  • Willing to work on diverse range of tasks in building ML related capability on the Corridor Platform as well as client work.
  • Someone with strong interest in data engineering aspect of ML is highly preferred, i.e. can play dual role of Data Scientist as well as someone who can code a module on our Corridor Platform writing robust code.

Structured ML techniques for candidates:

 

  1. GBM
  2. XgBoost
  3. Random Forest
  4. Neural Net
  5. Logistic Regression
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