Senior Analyst - Data science

About Edgeverve

We reimagine the way enterprises work for the better. Enabling our clients to innovate on business models and drive game-changing efficiency with best-of-breed digital platforms. Our digital platforms help clients capitalize on the inherent power of a connected enterprise. We do this by amplifying the human potential, crafting connected customer journeys, and exploiting the power of value networks.

Find more about us here- www.edgeverve.com

Finacle website (https://www.edgeverve.com/finacle/solutions/)

We are hiring Data science professionals for our banking product - Finacle

Requirements:

• Minimum 4+years of Experience required.
• Excellent analytical and problem-solving skills .
• Experience using statistical computer languages (Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks.
• Should be able to host the models and make them API convertible.
• Good communication and presentation skills to explain your work to people who don't understand the mechanics behind data analysis.
• Working on Cutting Edge AI solutions in partnership with best of business in the industry. Propose innovate solutions and adopt quickly to dynamic learning environment.
• Build AI algorithms and design experiments to merge, manage, interrogate, and extract data to supply tailored reports to colleagues, customers, or the wider organization .
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Bring about Explainable and Responsible AI.
• Conduct research from which you'll develop prototypes and proof of concepts Look for opportunities to use insights/datasets/code/models across other functions in the organization
• Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.