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Barclays is seeking a highly skilled and experienced Data Scientist, AVP, to support advanced analytics, develop predictive models, and drive data-driven decision-making across the organization. In this role you will Design, develop, and deploy machine learning and statistical models to solve highly detailed business problems. Perform exploratory data evaluation to identify patterns, trends, and insights and build predictive and prescriptive analytics solutions to optimize business outcomes. You will also, evaluate model performance and continuously improve model accuracy and scalability. This role combines deep technical experience with strategic thinking and leadership responsibilities, including mentoring junior team members and partnering with business stakeholders to translate data insights into actionable strategies.
Job Responsibility
Support advanced analytics, develop predictive models, and drive data-driven decision-making across the organization
Design, develop, and deploy machine learning and statistical models to solve highly detailed business problems
Perform exploratory data evaluation to identify patterns, trends, and insights and build predictive and prescriptive analytics solutions to optimize business outcomes
Evaluate model performance and continuously improve model accuracy and scalability
Mentor junior team members and partner with business stakeholders to translate data insights into actionable strategies
Requirements
Coding in Python, PySpark, R, SQL or other scripting languages
Understanding of Machine learning and Math statistical modelling
Considerable academic background in a quantitative/empirical field (math, statistics, economics, computer science, physics, chemistry, etc)
Nice to have
Demonstrated ability to tell stories that extract the key implications and underlying intuitions from highly detailed models
Snowflake/ data break experience
Causal inference background
Understanding of fundamentals or strategy approaches to research