Data Scientist (4-8 yrs)

- 4-8 years of experience as a Data Scientist preferably in the banking or financial services sectors

- Deep understanding and hands-on experience with ML/DL Algorithms

- Strong analytical and problem-solving skills

- Deliver end to end Data Science projects including understanding of business requirements, exploratory data analysis, data processing, aggregating data, feature engineering, building and validating predictive models, explaining model results & insights and deployment

- Use AI, ML, DL techniques such as regression, classification, clustering, tree-based algorithms, support vector machine, and neural networks, recommender system, attribution modelling to address business problems.

- Strong experience in building and implementing predictive models using statistical techniques and machine learning algorithms.

- Leverage advanced statistical techniques, machine learning algorithms, and alternative data sources to enhance model performance.

- Experience with MLOps techniques for model build, deployment and monitoring.