Cross Ib Data Scientist - Client Data And Engineering Avp
Barclays
Mumbai, India
Python data science libraries
Develop machine learning models
Data cleaning and transformation
Use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation
Job Summary
Use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.
Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science, and advise and influence decision making.
Join us as a "Cross IB Data Scientist - Client Data and Engineering AVP” at Barclays, responsible for calculating client relationship returns within CIB.
Matching Summary
Use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.
Skills & Requirements
Must-have
Python data science libraries
Develop machine learning models
Data cleaning and transformation
Statistical and machine learning models
Predictive model development
Collaborate with business stakeholders
Nice-to-have
Deep learning architectures
DataBricks and Mlflow experience
Bedrock and Langchain familiarity
CI/CD tools and version control
Cloud platforms exposure
Agile collaborative team environments
Key Requirements
Design and develop end-to-end data science solutions
Build, train, test, and deploy machine learning models
Collaborate with cross-functional teams
Develop and maintain high-quality code
Present complex quantitative and qualitative findings