Applied Data Finance jobs - Data Scientist/Analyst
Data Scientist/Analyst
4 Year
Salary not disclosed
Posted:
5 Years ago
Views:
Applications:
Openings:
6
Job Description
Job Title: Data Scientist/Analyst
Number of open positions: 6
Job Summary:
- We are looking for strong Data Scientists/Analysts, who will be problem solvers, using predictive modelling techniques and machine learning algorithms, to solve complex business problems in credit and risk domains, and also provide business strategies.
Roles and Responsibilities:
- Use of cutting edge machine learning techniques for solving supervised and unsupervised learning problems
- Design analytical solutions for complex business problems
- Dig deep into data, understand characteristics, evaluate and validate hypotheses through empirical approaches
- Recommend and implement best practices around application of statistical modelling
- Develop and implement predictive models solving business problems and recommend actionable insights
- Mentor and train new recruits
Qualification & Experience:
- 2+ years of experience in the field of analytics, predictive modeling or data science
- Strong with programming languages like Python and data processing using SQL or equivalent
- Strong with analytical and statistical packages like R, Python Scikit-Learn
- Additional familiarity with C/C++ welcome
- Experience with the following machine learning algorithms desirable: Gradient Boosting, Decision Trees, Logistic Regression, Random Forests, Deep Neural Networks, Ensemble methods
- Experience with NoSQL and distributed data processing technologies such as Hadoop is also desirable
- Bachelor or Master in Operations Research, Computer Engineering or in closely related Quantitative Disciplines from a premier institution.
Job Particulars
Education
Any Post Graduate, Any Graduate
Who can apply
Experienced (4 Year)
Hiring Process
Face to Face Interview
Employment Type
Full Time
Job Id
277987
Job Category
Others
State
Tamil Nadu
Country
India
About Company
We have a more accurate picture of Alice than other lenders. We use more data, from more sources. We analyze it using the most advanced data science. We can see that she is, in fact, a good risk. So we can lend to her at a risk-appropriate rate.
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