Data Analyst - Data Science - BFSI

- Running Data Science effort for multiple verticals for advanced analytics, machine learning and business analytics

a. Shall be the specialist on Data Science vertical. Shall collaborate with business managers to solve their business-data-challenges and provide impactful insights

b. Shall interact with multiple members from client side by meeting them, interviewing them, taking data and processing it.

c. Shall build, validate, deploy AI/ML models to solve business needs

d. Shall create insights from data extracted from business units and convert them into actionable recommendations.

e. Shall be hands on with use of Data Science tools like Python, Azure ML, etc. Ability to self-process the data and come out with models/ insights is a must.

f. Shall be able to apply AI techniques like Decision Trees, Boosted Trees, Random Forest, Logistic Regression, Support Vector Machines, Deep neural networks, Advanced Regression, etc. techniques to data problems.

1. Lead and mentor the Data Scientist team, facilitating their growth and development.

2. Possess the flexibility to excel in both individual contributor and team management capacities.

3. Collaborate closely with business leaders to formulate and implement a robust data strategy.

4. Forge partnerships with credit bureaus to leverage valuable data resources.

5. Oversee the execution of data science projects using Python programming.

6. Architect, construct, test, and uphold data-driven APIs through collaborative teamwork.

7. Drive the nationwide deployment of data-powered underwriting and cross-selling systems. 8. Conduct on-demand business analysis and provide consultancy on performance, productivity, quality, NPAs (Non-Performing Assets), and other pertinent metrics.

- Knowledge of Python, SQL, Azure ML,

- Knowledge of Advanced Data Science and Machine Learning Algorithms

- Ability to synthesize large chunks of information and data from multiple people and files into summary documents in digestible format

- Experience of AI/ML deployment or full-stack development is a plus