Data Science Role - Risk analytics - BFS/KPO

Data science- risk analytics

Job Description:

- Bachelor's / Master's Degree in discipline like IT/Software, Engineering, Mathematics, Statistics, Economics etc from a reputed university

- 4-12 years in the analytics industry; of which at least 3 years of experience in machine learning/ high end analytical techniques

- Should be competent with techniques like neural network, boosting, support vector machine, random forest etc (hands on experience required)

- Good organizational, project management, analytical, problem-solving and verbal/written communication skills

- Comfortable working with the onshore/offshore team

- Good Knowledge of SAS/ R/Python programming would be highly preferred

- Demonstrated success in managing multiple deliverables concurrent

- Familiar with a majority of the techniques below and proven expertise in a few of them is a 'MUST'

- GAM / Logistic models

- Neural Network/ Artificial Neural Network)

- Random Forest

- Gradient Boosting

- Logit boosting

- Apriori Algorithm

- Support vector Machine

- Recommendation Learning

- Self-Organizing maps

- Pattern recognition