Job Description
In This Role, You Will
- Participate in low to moderately complex initiatives by utilizing data-driven, advanced analytical and statistical techniques to identify trends, diagnose problems, and build actionable insights or recommendations
- Review and analyze business, operational, technical assignments, or challenges that require research, evaluation, and selection of alternatives to convert data into meaningful insights and recommendations
- Exercise independent judgment to guide medium risk business hypothesis generation
- Present recommendations and insights for resolving low to moderately complex business needs and problems; exercise independent judgment while developing an expertise in analytic capabilities
- Collaborate and consult with functional colleagues, internal partners, and stakeholders to drive recommendations and strategies based on data-driven analytical insights, trends, and patterns
- Conduct low to moderately complex predictive analytics to build actionable insights and recommendations
- Design and apply algorithms to mine large sets of structured and unstructured data from various sources
- Ensure data completeness, accuracy, and uniformity through cleaning and validation
Required Qualifications:
- 2+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
- PGP or Masters in Data Science / Advanced Analytics / AIML
- 3+ years of experience working in Large Banks/ Financial Services.
- Good in SQL, Python for data analysis and usage of libraries.