Data Scientist leveraging data analytics and machine learning to improve fraud detection systems at Barclays. Collaborating with stakeholders to enhance operational efficiency and strategic decision-making.
Responsibilities
Use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves.
Identification, collection, extraction of data from various sources.
Performing data cleaning, wrangling, and transformation to ensure its quality.
Development and maintenance of efficient data pipelines.
Design and conduct statistical and machine learning models to analyse patterns.
Development and implementation of predictive models to forecast future outcomes.
Collaborate with business stakeholders to seek opportunities to add value from data.
Requirements
Proficiency in SAS, Python, or similar programming languages.
Strong knowledge of fraud detection systems.
Hands-on experience working with large and complex data sets.
A background in statistics or mathematics, with fraud experience.
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