Data Science Expert
Role Overview
The Data, Analytics & AI team provides data, analytics, and business intelligence to support data-driven decisions, improve efficiency, and optimize returns.
The Data Science Expert will help advance the bank’s data science capabilities and deliver advanced analytical solutions.
Potential use cases include intelligent character recognition, computer vision, behavioral analysis, early-warning analysis, generative AI, NLP, LLMs, and hyper-personalization.
Key Skills for This Role
Full Job Posting
Role overview
The Data, Analytics & AI team provides data, analytics, and business intelligence to support data-driven decisions, improve efficiency, and optimize returns.
The Data Science Expert will help advance the bank’s data science capabilities and deliver advanced analytical solutions.
Potential use cases include intelligent character recognition, computer vision, behavioral analysis, early-warning analysis, generative AI, NLP, LLMs, and hyper-personalization.
Responsibilities
- Work with business executives and departments to provide advanced data science solutions for implementation.
- Design, test, and launch complex analytical models using traditional and contemporary data-mining techniques on structured and unstructured data.
- Develop big-data capabilities and coordinate cross-functional analytics initiatives.
- Work on data-mining and collection procedures; ensure data quality and integrity; interpret and analyze data problems.
- Conceive, plan, and prioritize data projects; build analytic systems, predictive models, and AI capabilities.
- Test data-driven product performance; visualize data, create reports, and present to stakeholders including senior management.
- Experiment with new models and techniques.
Qualifications and experience
- Bachelor’s and/or master’s degree in a relevant discipline, such as data science, computer science, mathematics, or statistics.
- At least 7 years of experience in data science roles.
- Banking or fintech experience is preferred.
- Certifications in Python, R, SQL, AI, or machine learning are nice to have.
Role capabilities
The role calls for technical knowledge, problem-solving, delivery focus, stakeholder management, and strategic thinking.
Employer information and benefits
- The employer describes an innovation-driven, digital-first environment, global partnership opportunities, employee well-being and work-life balance, and competitive compensation and benefits.
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