Axis Bank - Data Scientist - Model Engineering

Job Description

The candidate will be part of the Data Science team and will primarily be responsible for developing predictive models and implementing latest machine learning algorithms.

The candidate is required to:

- Develop predictive models using latest machine learning / statistical methods

- Keep track of latest developments in the machine learning world

- Introduce newer methodology in model development & implementation

- Communicate these methods and results to other members of the data science team and other relevant stakeholders

Key Result Areas :

1. Deliver robust statistical / machine learning models that use latest methods & algorithm while generating tangible business value

2. Standardize the usage of latest data processing methods for faster development and implementation of models in the larger data science team

3. Ensure flawless delivery of projects on time

Competencies Required :

- Strong analytical & problem solving skills

- Ability to learn and understand latest machine learning / statistical algorithms

- Working knowledge of Hadoop, SQL, Oracle

- High level of motivation

- Good communication, presentation & communication skills

Nature of Relevant Work Experience Required :

- Predictive model development

- Logistic/Linear Regression, Clustering, D-tree, Feature Selection, PCA

- Artificial Neural Network (Deep Learning), SVM, Random Forest

- Python, Tensorflow, Scikit

- SAS, R

No. of Years of Relevant Work Experience - Candidate is required to have 2-3 years of relevant work experience in statistical modeling. The candidate must have a can-do attitude and should have the ability to liaise with multiple stakeholders and get the execution done smoothly.