Data Science Associate: ML, Analytics & Impact

QNB Group; Doha; On-site; QAR 180,000 - 300,000; Full time

Job summary

QNB Group seeks an Associate, Data Science to support machine learning initiatives across the bank, under guidance from senior team members. You will build and deploy models, analyze data, and generate insights to solve business problems while collaborating with various business units.

The role involves preparing large datasets, documenting methodologies, and contributing to AI/ML pipelines, with a focus on scalable, production-ready solutions aligned with QNB’s strategic goals.

Qualifications

• Bachelor degree in data science, CS, mathematics, engineering or related field.
• Familiarity with ML techniques, data wrangling, and model evaluation practices.
• Knowledge of data science tools like Python, R and Jupyter notebooks desirable.

Responsibilities

• Support development and deployment of machine learning models.
• Prepare and clean large datasets for analysis and modelling.
• Document methodologies, outcomes and learnings for reproducibility and scaling.
• Develop predictive models to extract meaningful business insights.
• Collaborate with business units to understand requirements and translate them into data problems.
• Assist in building scalable data science assets aligned with strategic goals.

Skills

Data science fundamentals

Machine learning

Data analysis

Data wrangling

Education

Bachelor Degree in Data Science / Computer Science / Mathematics / Engineering

Tools

Python

R

Jupyter Notebooks

Job description

QNB Group seeks an Associate, Data Science to support machine learning initiatives across the bank, under guidance from senior team members. You will build and deploy models, analyze data, and generate insights to solve business problems while collaborating with various business units.

The role involves preparing large datasets, documenting methodologies, and contributing to AI/ML pipelines, with a focus on scalable, production-ready solutions aligned with QNB’s strategic goals.