Data Scientist

Linnk Group; Doha; On-site; QAR 340,000 - 560,000; Full time

Job summary

Linnk Group is seeking an experienced Data Scientist for a leading banking client in Doha, Qatar. The role emphasizes Python, statistical modelling and machine learning to analyze customer data and predict behaviour.

You will translate business needs into data-driven solutions, collaborate with Data Engineers and Analysts, and present findings to senior management. A minimum of 8 years in Data Science within banking is expected.

Qualifications

• Hands-on expertise in Python for data analysis and predictive modelling.
• Strong knowledge of probability, regression analysis, statistical modelling and hypothesis testing.
• Proven experience developing predictive models using customer and banking transaction data.
• Experience in Machine Learning model development, testing, validation and implementation.
• Strong stakeholder management, communication and problem-solving skills.
• Ability to independently identify business use cases and deliver practical analytical solutions.

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 develop data-driven solutions.
• Translate business requirements into practical Data Science use cases and predictive models.
• Work closely with Data Engineers and Data Analysts to support model implementation.
• Engage with business stakeholders and senior management to present analytical findings.
• Independently identify business opportunities and recommend innovative data-driven solutions.

Skills

Python

Data analysis

Predictive modelling

Statistical modelling

Machine learning

Stakeholder management

Communication

Problem solving

Job description

We are seeking an experienced Data Scientist for a leading banking client in Doha, Qatar. The ideal candidate should have strong banking domain knowledge and hands-on expertise in Python, statistical modelling, predictive analytics, and Machine Learning.

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 develop data-driven solutions.
• Translate business requirements into practical Data Science use cases and predictive models.
• Work closely with Data Engineers and Data Analysts to support model implementation.
• Engage with business stakeholders and senior management to present analytical findings.
• Independently identify business opportunities and recommend innovative data-driven solutions.

Required Skills & Experience

• Minimum 8 years of experience in Data Science, preferably within the banking industry.
• Strong understanding of banking operations, products and business functions.
• Hands-on expertise in Python for data analysis and predictive modelling.
• Strong knowledge of probability, regression analysis, statistical modelling and hypothesis testing.
• Proven experience developing predictive models using customer and banking transaction data.
• Experience in Machine Learning model development, testing, validation and implementation.
• Strong stakeholder management, communication and problem-solving skills.
• Ability to independently identify business use cases and deliver practical analytical solutions.