Regional Data Modeling Lead — Assistant VP

UOB; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

UOB is seeking an experienced data scientist in Singapore to develop and implement advanced statistical models and analyze large datasets. The ideal candidate will have a Bachelor's degree in a relevant field, with a preference for a Master's, and 5-10 years of tech industry experience, including 3-5 years specifically in data engineering or data science. Proficiency in Python/Spark and familiarity with machine learning techniques such as TensorFlow are crucial. The position also offers opportunities for professional development in the dynamic financial services sector.

Qualifications

• 5-10 years in the tech industry.
• 3-5 years in data engineering, analysis, or data science, ideally in financial services.

Responsibilities

• Develop and implement advanced statistical models to analyze large datasets.
• Collaborate with cross‑functional teams to identify opportunities for process improvement based on data analysis.
• Present findings and recommendations to senior management in clear and concise reports.
• Stay updated with the latest advancements in data science and machine learning techniques.

Skills

Proficiency in Python/Spark

Machine learning libraries such as scikit-learn, TensorFlow

Data engineering tools like Hive/Impala, Oozie, Hadoop

Statistical analysis and machine learning algorithms

Deploying and scaling ML/AI models

Excellent communication skills

Ability to work independently and as part of a team

Education

Bachelor’s degree in Computer Science, Statistics, Mathematics or related field

Master’s preferred

Job description

UOB is seeking an experienced data scientist in Singapore to develop and implement advanced statistical models and analyze large datasets. The ideal candidate will have a Bachelor's degree in a relevant field, with a preference for a Master's, and 5-10 years of tech industry experience, including 3-5 years specifically in data engineering or data science. Proficiency in Python/Spark and familiarity with machine learning techniques such as TensorFlow are crucial. The position also offers opportunities for professional development in the dynamic financial services sector.