We are looking for candidates to fill the role of (Junior or) Data Scientists/Data Analyst, with 0-2 years' experience, who will be problem solvers in credit and risk domains, marketing analytics and be part of the data science teams, supporting business requirements and initiatives.
Roles and Responsibilities:
Design analytical solutions for complex business problems
Dig deep into data, understand characteristics, evaluate and validate hypotheses through empirical approaches
Develop and implement predictive models solving business problems and recommend actionable insights
People new to the field and/or domain will spend their initial months in understanding data, do basic analysis and validation, reports, to get deeper understanding of the business.
Candidates with prior relevant experience will work in development and implementation of predictive models and recommend actionable insights; they will use advanced machine learning techniques, among others, as per business requirements.
Qualification & Experience:
0-2 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
Bachelor or Master in Operations Research, Computer Engineering or in closely related Quantitative Disciplines from a premier institution.
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.
Teamlease does not charge any kind of payment for a job.