Senior Data Scientist-Bank

2 weeks ago


Bengaluru, Karnataka, India TechConnexions - Startup Hiring Specialists Full time

Senior Data Scientist-Bank

Qualification: B E / B Tech or Masters in Statistics

Preferably Masters and/or Certifications in Analytics

Location: Bangalore

Experience: Minimum 5-7 years of experience in data science and business analytics development of predictive analytics.

AWS certifications are a value-add

Banking Experience is a must

Budget: 25LPA

The bank is looking for a data scientist to add to the rapidly scaling Analytics Center of Excellence team.

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.



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