Data Scientist - Banking

About the role

A leading banking client in Doha, Qatar is looking for an experienced Data Scientist with strong banking domain knowledge. The role covers predictive analytics and machine learning on customer and transaction data, and is advertised as a yearly renewable position.

Key responsibilities

• Analyse historical customer data and banking transactions to identify trends and predict customer behaviour.
• Develop, test and validate predictive and machine learning models to address business challenges.
• Apply Python, statistical modelling and analytical techniques to build data-driven solutions.
• Translate business requirements into practical data science use cases and predictive models.
• Work with Data Engineers and Data Analysts to support model implementation.
• Present analytical findings to business stakeholders and senior management.
• Identify business opportunities independently and recommend innovative, data-driven solutions.

Required profile

• Minimum 8 years of experience in data science, preferably in the banking industry.
• Strong understanding of banking operations, products and business functions.
• Proven experience building predictive models on customer and banking transaction data.
• Experience in machine learning model development, testing, validation and implementation.
• Strong stakeholder management, communication and problem-solving skills.

Required skills

• Hands-on Python for data analysis and predictive modelling.
• Probability, regression analysis, statistical modelling and hypothesis testing.
• Machine learning model development and validation.