Applied Data Finance is a US based, web-enabled consumer finance company that utilizes advanced data science to better model and measure the credit risk of non-prime borrowers. Its India office is at Chennai (ADF Data Science Pv.t Ltd.) has 400+ employees, comprising functions, such as Data Science, Data Engineering and Model implementation, Data Warehousing and Business Intelligence, Quality & Testing, Operations, Compliance, Process and Project Management, Finance & Accounts, Business Analysis and Technical Documentation.

Work Location: Head Office is in Chennai

www.applieddatafinance.com

Recently in News

https://www.businesswire.com/news/home/20180724005879/en/Applied-Data-Finance-Closes-145-Million-Financing

http://www.businesswire.com/news/home/20170717005876/en/Applied-Data-Finance-Announces-Marketing-Agreement-iHeartMedia

http://www.businesswire.com/news/home/20170531005370/en/Applied-Data-Finance-Increases-Credit-Facility-75mm

• Responsible for designing and implementing systems and tools by following object oriented programming concepts and software design principles to improve machine learning platform at ADF. This includes,
  • Improving efficiency of and building automation in our predictive modeling process. Improve our ability to work on very high volume of historical data
  • Implementing machine learning systems to generate better and more efficient recommendations
  • Implementing analytics algorithms at scale and integrating with other engineering systems to work in a real-time high volume production environment
  • Optimizing existing machine learning libraries and frameworks
• Ensuring that algorithms generate accurate user recommendations
• Documenting machine learning processes
• Keeping abreast of developments in machine learning
• Collaborating with data engineers to build high quality data and features pipeline

• Bachelor’s degree in computer science, data science, mathematics, or a related field
• 3 to 5 yrs. experience is preferable
• Good in software development practices
• Good understanding about machine learning engineering
• Advanced proficiency with Python
• Extensive knowledge of ML frameworks/libraries (like scikit-learn,keras,…), data structures and data modeling
• Good analytical and problem-solving abilities
• Good communication and collaboration skills