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Please Turn on your JavaScript

Epicareer might not working properly because your browser javascript is turned off.

What is JavaScript?

JavaScript is like the magic behind making websites interactive. Basically, it makes Epicareer more enjoyable and engaging.
How do i turn this on?
Find tutorial for your browser below :
  1. Make sure the webpage is open.
  2. In the Safari app on your Mac, choose Safari > Preferences, then click Security.
  3. Make sure the Enable JavaScript checkbox is selected.
  4. Click Websites.
  5. On the left, click Content Blockers.
  6. Make sure Off is chosen in the pop-up menu next to the website.
  7. On the left, click Pop-up Windows.
  8. Make sure Allow is chosen in the pop-up menu next to the website.
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  1. Open Chrome on your computer.
  2. Click. then Settings.
  3. Click Privacy and Security.
  4. Click Site settings.
  5. Click JavaScript.
  6. Select Sites can use Javascript.
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  1. If you're running Windows OS, in the Firefox window, click Tools > Options.
  2. Tip: If you're running Mac OS, click the Firefox drop-down list > Preferences.
  3. On the Content tab, click the Enable JavaScript check box.
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  1. Click the "Settings and more" icon at the top right of the Edge browser window.
  2. Click Settings.
  3. From the Settings menu, click Cookies and site permissions.
  4. Scroll down and click on JavaScript.
  5. In the JavaScript window, toggle the slider to "on" or "allowed."
  6. Close the Settings tab.
  7. Refresh the page.
Visit Site here
  1. Go to Settings.
  2. Click Advanced in the left sidebar, and click Privacy & security.
  3. Under Privacy and security, click Site settings.
  4. Click JavaScript.
  5. At the top, turn on or off Allowed (recommended).
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Jobs or company...

Data Scientist

Salary undisclosed
Checking job availability...
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Job Responsibilities:

  • Responsible for developing a robust machine learning model for credit scoring that is highly scalable and compliant with BASEL II guidelines.
  • Re-evaluate credit risk model performance on a periodic basis for retraining using statistics such as probability of default, confusion matrix, f1&f2 score, Lorenz Curve, Kolmogorov–Smirnov, GINI and AUC.
  • Develop innovative data science methodologies to manage credit risk of the lending portfolio.
  • Familiar techniques for implementing and automating continuous integration (CI), continuous delivery (CD), and continuous training (CT) for machine learning (ML) systems
  • Synthesize requirements from stakeholders, develop innovative and effective approaches in collaboration with data engineers, Machine learning engineers, product managers, and technical teams.
  • Contribute to core advanced analytics and machine learning platforms and tools by research, discover new methodologies and new data feeds to support credit decisioning and other key business processes.
  • Identifies what data is available and relevant, including internal and external data sources, leveraging new data collection processes to discover new data feeds with predictive power to derive borrower credit worthiness.
  • Understand data sources, conduct data discovery, apply complex techniques to produce features for automation using a hypothesis driven approach.
  • Any other ad hoc task as assigned from time to time.

Minimum Requirements:

  • Bachelor’s degree in Statistics, Operations Research, Mathematics, Physics, Computer Science, or Engineering, or in a related field, a Master’s degree is will be an additional advantage.
  • Minimum 4-7 years’ of relevant experience.
  • Experience in all or some of the following scripting languages: SQL, Python, R, SAS, Java, C++, SPSS, MATLAB.
  • Strong business understanding and the ability to translate business requirements into data science solutions effectively.

*Our recruitment team will reach out to shortlisted candidates only.