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2 Days ago

Interesting Job Opportunity: Senior Data Scientist - Generative AI

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Chennai, Tamil Nadu, India
Information Technology
Full-Time
Connexions

Overview

The role shall bring in innovation and provide competitive advantages for the Bank.

We are looking for a candidate who has practical experience with analytics technologies and languages supporting data science domains models using machine learning and linear algorithms

  • Should have worked on classification, regression, and forecasting business problem statements
  • Expertise in model training and validation to improve accuracy and model stability
  • Experience in maintaining analytics models and developing analytics governance frameworks
  • Should have worked in different technology stacks (Cloud/on Prem) for model deployment and production
  • Experience in working with business stakeholders and for curation of analytics problems
  • Should have worked on banking use cases like cross-sell, upsell, customer retention, customer acquisition, customer servicing, personalization, ATM optimization, Branch analytics
  • Own Data assessment for analytics and building data foundations for analytics use cases
  • Exposure to Artificial intelligence techniques and use cases.

Exposure to Gen AI is a value-add

  • Hands-on programming experience in Python

Job Profile

  • Join a fully functional team of enthusiastic Data Scientists and Visualization experts to solve various banking-related problem statements
  • Senior Data scientist will develop and maintain statistical models, apply machine learning techniques, and build high-quality predictive/prescriptive systems
  • The senior data scientist will also make technology and business recommendations, as well as develop key insights based on data analysis
  • The candidate must be able to partner with business stakeholders and serve as a domain expert in order to curate business problem statements and guide business priorities using data

Skill & Competencies Requirement

  • Proficiency in predictive modeling, feature engineering, Hypothesis testing, and Machine Learning techniques (Decision Trees, GBM, XG-Boost, GLM modeling, Forecasting, Scorecard development, Clustering)
  • Proficiency in A/B Testing, campaign design, and scaling data science models into production-level models that can handle complex real-time data
  • Good hands-on experience in Python and SQL
  • Expertise in different cloud analytics Tech-stacks (AWS/ Azure/ GCP)
  • Proficiency in analytics project management and working with business Stakeholders
  • Excellent communication skills with ability to explain the problems/solutions with clarity
  • Must have good presentation skills
  • Exposure to AWS services like Sagemaker, Glue, Athena, S3, etc

(ref:hirist.tech)
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