Description
We are seeking a Data Scientist to lead the evolution of our digital landscape, driving innovation and operational excellence.
As a Data Scientist, you will apply advanced data analytics and machine learning techniques to extract valuable insights from the bank's data reserves. These insights will be used within our fraud detection systems to detect and deter fraudsters and in doing so protect our clients.
Key Responsibilities:
- Identification, collection, and extraction of data from various sources, including internal and external sources.
- Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.
- Development and maintenance of efficient data pipelines for automated data acquisition and processing.
- Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.
- Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
- Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.
Assistant Vice President Expectations:
- To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness.
- Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver on work that impacts the whole business function.
- Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes.
Requirements:
- Proficiency in SQL, SAS, Python, or similar programming languages.
- Strong knowledge of fraud detection systems.
- Hands-on experience working with large and complex data sets.
Nice to Have:
- A background in statistics or mathematics, with fraud experience.
- Familiarity with BB Plc businesses.
What We Offer:
- Competitive salary
- Opportunity to work with a leading banking organisation
- Collaborative and dynamic work environment