Role and Requirements:
- Independently drive the projects in a dual-shore model and provide mentorship to junior resources as required
- Data modeling using advanced methods in Machine Learning, Predictive Modeling, NLP
- Selecting features, building and optimizing classifiers using machine learning techniques
- Augment internal data with third party sources of information when needed
- Lead discussions with client stakeholders to understand business problems and formulate solutions
- Lead discussions with technology, data-warehousing, other internal teams to resolve issues, deploy the models etc.
Qualifications and Skills:
- Master- s/Bachelor's Degree in Analytics/Data Science/Statistics/Mathematics/Engineering/ Computer Science or related quantitative fields from top-tier universities with strong academic record
- Excellent understanding of machine learning techniques and algorithms, such as KNN, Naive Bayes, SVM, Decision Trees, Random Forest, NLP etc.
- 5+ years of Analytics/modeling experience working with large datasets
- Experience of Predictive Modeling/Machine Learning using Python and good knowledge of SQL
- Experience of building Natural Language Processing models/performing Text Analytics
- Demonstrated leadership ability and willingness to take initiative
- Outstanding written and verbal communication skills
- Able to work in fast pace continuously evolving environment
- Good to have - Product knowledge including retail banking lending products (credit cards, loans);
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