Associate, Data Science

SINGAPORE LIFE LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading financial services provider in Singapore is seeking a skilled data scientist to analyze complex datasets and develop predictive models. The ideal candidate will have 4-7 years of experience in data science, proficiency in Python and SQL, and a strong understanding of statistical techniques. This role involves collaborating with cross-functional teams to derive insights and support AI governance initiatives.

Qualifications

• 4-7 years of experience in data science or a related field.
• Knowledge of machine learning techniques and their real-world applications.
• Strong programming skills in Python, R, SQL, or other languages.

Responsibilities

• Conduct comprehensive data analysis from large datasets.
• Create data visualizations for stakeholders.
• Develop and maintain data pipelines and workflows.

Skills

Data analysis

Statistical techniques

Data visualization

Predictive modeling

Machine learning techniques

Python

SQL

Cloud technologies

Generative AI methodologies

Education

Bachelor's degree in Statistics or related field

Master's degree in Statistics or quantitative analytics

Job description

Key Responsibilities

• Collaborate with stakeholders, senior data scientists and cross-functional teams to understand business objectives and requirements.
• Conduct comprehensive data analysis and apply advanced statistical techniques to identify patterns, trends, and extract insights from large and complex datasets.
• Create visually appealing and insightful data visualizations to communicate complex findings and insights to both technical and non-technical stakeholders.
• Develop and maintain scalable data pipelines and workflows to process and analyse large volumes of data.
• Develop, validate, and maintain predictive models and algorithms tailored to specific business use cases such as customer segmentation and propensity models.
• Contribute to the design and implementation of experiments to test hypotheses and validate model performance.
• Work closely with machine learning engineers to deploy models into production and monitor their performance, providing insights and recommendations for optimization.
• Document methodologies, procedures, and findings in a clear and concise manner to ensure knowledge sharing and maintain accurate records.
• Stay abreast of emerging trends and advancements in data science and machine learning.
• Support the implementation of AI Governance by adhering to ethical standards, documentation protocols, and responsible AI practices.

Experience

• 4-7 years of experience in data science or a related field.
• Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and algorithm development.
• Strong programming skills in Python, R, SQL, or other programming languages.
• Deep understanding of statistical concepts and techniques, with experience applying them to real-world problems.
• Ability to visualize data, identify trends, and provide sound insights/ suggestions to internal stakeholders.
• Experience in the financial and insurance sector will be advantageous.
• Experience with cloud technologies is ideal (AWS/GCP/Azure etc.)
• Eagerness to learn and adapt to new technologies and methodologies.
• Understanding of Generative AI methodologies, including Retrieval-Augmented Generation (RAG), re-ranker, vector databases, etc.

Education

• Bachelor’s degree or above in Statistics, Computer Science, Mathematics, Business Analytics, Economics, or Similar or Masters in Statistics or any quantitative analytics or equivalent professional qualification
• Candidates with non-technical majors and self-learned data science or computer science skills are welcome to apply