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Data Science Expert

Commercial Bank Qatar
Baladiyat ad Dawhah, QAT
Onsite
Discovered 4 days ago
Data scienceData analyticsData managementData miningPredictive modelingArtificial intelligence

Full Job Posting

About the bank

Commercial Bank of Qatar was founded in 1975 and is headquartered in Doha.

The bank provides personal, business, government, international, and investment services.

Role overview

The Data, Analytics & AI Team provides data, analytics, and business intelligence to support data-driven decisions, improve efficiency, and optimize returns.

The expert will help advance the bank's data science capabilities and apply analytics and AI to banking use cases.

Responsibilities

  • Work with business executives and departments to provide advanced data science solutions for implementation.
  • Design, test, and launch complex analytical models using data-mining techniques on structured and unstructured data.
  • Develop big data capabilities and coordinate cross-functional analytics initiatives.
  • Develop data mining and collection procedures; ensure data quality and integrity; and interpret data problems.
  • Plan and prioritize data projects and build analytic systems, predictive models, and AI capabilities.
  • Test data-driven products, visualize data, create reports, and present to stakeholders including senior management.
  • Experiment with new models and techniques.
  • Potential use cases include intelligent character recognition, computer vision, behavioral analysis, early-warning analysis, generative AI, NLP, LLMs, and hyper-personalization.

Qualifications and experience

  • Bachelor's and/or master's degree in a relevant field 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.

Company highlights

  • The bank describes an innovation-driven, digital-first environment, global partnerships, employee well-being, work-life balance, competitive compensation and benefits, and commitment to diversity and inclusion.

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