Data Scientist - Machine Learning & AI

About the role

UBL is looking for a data scientist to turn its data into predictions and recommendations. You will build machine learning and forecasting models on bank data, uncover patterns that drive business decisions and automate the insights that leadership acts on.

Key responsibilities

• Build, validate and maintain machine learning and AI models for forecasting, segmentation, benchmarking and anomaly detection
• Translate business questions into analytical approaches and test hypotheses with data
• Automate model outputs into recurring recommendations, alerts and dashboards
• Work with the data engineering team on data requirements, features and data quality
• Explain results, assumptions and model limitations clearly to business stakeholders

Required profile

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics or a related field
• 3-5 years of hands-on experience building machine learning and statistical models in Python
• Prior experience in data engineering or data analysis alongside data science work
• Experience with large customer or transactional datasets in any industry (e.g. telecom, fintech, e-commerce, retail, banking)
• Ability to explain complex analysis in simple business terms

Required skills

• Python (pandas, scikit-learn, statsmodels or similar)
• Time-series forecasting, regression and clustering
• Strong SQL on large datasets
• Tableau or Power BI
• Experience applying generative AI / LLMs in a controlled enterprise environment