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Data Science Expert

Commercial Bank Qatar
Baladiyat ad Dawhah, QAT
Onsite
Discovered 3 days ago
Data scienceData analyticsData managementData miningData quality and integrityPredictive modeling

Full Job Posting

About the employer

Commercial Bank was founded in 1975 and is headquartered in Doha, serving personal, business, government, international, and investment banking needs.

The bank describes its workplace as innovation-focused, supportive of professional development, and attentive to work-life balance.

Role overview

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

The Data Science Expert will help advance the bank’s data science capabilities and delivery of business benefits.

Potential use cases include character recognition, computer vision, behavioral and early-warning analysis, generative AI, NLP, LLMs, and hyper-personalization.

Key responsibilities

  • Work with business executives and departments to deliver advanced data science solutions.
  • Design, test, and launch complex analytics models using structured and unstructured data.
  • Develop data mining and collection procedures; ensure data quality and integrity; analyze data problems.
  • Plan and prioritize data projects; build analytics systems, predictive models, and AI capabilities.
  • Test data-driven products, visualize data, prepare reports, and present findings to senior stakeholders.
  • Experiment with models and techniques; develop big data capabilities and coordinate cross-functional analytics initiatives.

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 data science experience.
  • Banking or fintech experience is preferred.
  • Certifications in Python, R, SQL, AI, or Machine Learning are nice to have.
  • Relevant expertise includes data analytics and management, advanced analytical techniques, AI, and machine learning.

Skills and working approach

  • The role calls for technical knowledge, problem-solving, delivery focus, stakeholder management, and strategic thinking.

Employer offering

  • The employer cites global partnerships and international exposure, employee well-being and work-life balance, and competitive compensation and benefits.

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