Job Location: Mumbai
REQUIREMENTS – Languages: R, Python, Julia
EXPERIENCE – In data service projects , e.g. AI, Banking, consumer/commercial bank
– Work with Big Data
– PhD preferred
About this job
We are seeking a Data Scientist to become an integral part of our development team! The Data Scientist will design & develop scorecards, models and strategies for consumer banking and Small-Medium Enterprises businesses as well as set standards for modeling and analytics processes.
Responsibilities
• Review and perform exploratory analysis, audit of all potential sources of data for analytical projects within businesses • Construct, clean, analytical database requirements for specific projects • Use sophisticated statistical techniques to develop scorecards, customer segmentation schemes, profiles, and other analytically based tools for consumer & SME business projects • Assist Deployment Specialists in the deployment of the tools in live operating environments within businesses • Train line and operating personnel in machine learning, experimental design principles, data management, and tracking practices, model usage and problem detection • Keep abreast of developments in Data Science, Business Analytics, Applied Mathematics, Statistics, Operations Research and other quantitative disciplines which might be applied to MATRiX Client businesses • Create a knowledge base of scorecard development/Analytics and Domain learning • Research new technologies and develop proofs of concept.
Qualification
• Completed PhD/Masters in Statistics, Data Science, Business Analytics, Applied Mathematics, Operations Research, Economics or other quantitative discipline required.
• 1 to 4 years experience in scorecard/model development/risk analytics preferred
• Ability to work effectively with individuals with diverse backgrounds and positions
• Sensitivity to the impact of regional and national cultures upon the nature of interpersonal business interactions • Ability to communicate complex analytical ideas effectively and persuasively • Understanding of consumer and/or Small Medium Enterprise banking business and related systems/processes • Quantitative analysis and statistical modeling • Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from high dimension data sets • Thorough understanding of score development principles and demonstrated proficiency in score development • Ability to prioritize, work independently and multitask • Project management, Deadline and detail-oriented
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