Data Science Expert
Role Overview
The Data, Analytics & AI Team is a diverse cross-functional team providing data, analytics, and business intelligence to the bank.
The team works on diverse data use cases to enable data-driven business decisions, enhance efficiency, and optimize returns.
The incumbent needs a thorough understanding of data analytics and data management principles and the ability to help the bank derive maximum value from data.
Previous experience with data science, advanced analytical techniques, and AI/Machine Learning in a banking context is a major success factor.
The role requires technical knowledge, problem-solving, focus on delivery, stakeholder management, and strategic thinking.
The candidate is expected to accelerate the bank's data science capability development and the exploitation of benefits.
Key Skills for This Role
Full Job Posting
Job Summary
The Data, Analytics & AI Team is a diverse cross-functional team providing data, analytics, and business intelligence to the bank.
The team works on diverse data use cases to enable data-driven business decisions, enhance efficiency, and optimize returns.
The incumbent needs a thorough understanding of data analytics and data management principles and the ability to help the bank derive maximum value from data.
Previous experience with data science, advanced analytical techniques, and AI/Machine Learning in a banking context is a major success factor.
The role requires technical knowledge, problem-solving, focus on delivery, stakeholder management, and strategic thinking.
The candidate is expected to accelerate the bank's data science capability development and the exploitation of benefits.
Key Responsibilities
- Work with business executives and various departments to provide advanced data science solutions for implementation.
- Use cases may include intelligent character recognition, computer vision, behavioral analyses, early warning signs analyses, generative AI, NLP, LLM, and hyper-personalization.
- Design, test, and launch innovative and complex analytic models using contemporary and traditional data mining techniques on structured and unstructured data.
- Develop big data capabilities and utilization and coordinate cross-functional analytic 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 artificial intelligence capabilities.
- Test performance of data-driven products.
- Visualize data, create innovative reports, and present to key stakeholders including senior management.
- Experiment with new models and techniques.
Qualifications, Experience, Knowledge and Skills
- Bachelor's and/or Master's degree in a relevant discipline such as Data Science, Computer Science, Mathematics, or Statistics.
- Certifications in Python, R, SQL, AI, and Machine Learning are nice to have.
- 7+ years of experience in Data Science roles, preferably in Banking or Fintech.
Why Commercial Bank
- Innovation-driven, digital-first environment where employees work with the latest tools and technologies.
- Opportunities for global partnerships and international exposure.
- Focus on employee well-being and work-life balance.
- Competitive compensation and benefits.
- Strong commitment to diversity, equity, and inclusion.
Application Notes
- Only selected candidates will be contacted for further steps in the hiring process.
- The job posting is for informational purposes only and may be modified, withdrawn, or closed at any time without notice.
About Commercial Bank of Qatar
Commercial Bank was founded in 1975 and is headquartered in Doha, Qatar.
It offers personal, business, government, international, and investment services.
It was named Best Digital Bank in the Middle East 2024 by World Finance and Best Mobile Banking App in the Middle East 2024 by Global Finance.
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