HR Data Scientist advancing KLA’s HR Analytics capability through AI and predictive insights. Collaborating with HR partners to provide data - driven decision - making support.
About the role
- 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.
- Familiarity with BB Plc businesses.
Benefits
- Health insurance
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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