6 Months Data Scientist, Tampines ($6,500/month)
$ 5,500 - $ 5,500 / Per Mon
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Responsibilities:
Analyze large and complex data sets related to policy administration, payment transactions, customer demographics, policy renewals, and service interactions.
Develop and implement predictive models and algorithms to improve policy retention, customer satisfaction, payment processing efficiency, and fraud detection.
Collaborate with policy services, payments, underwriting, IT, and customer service teams to understand business requirements and translate them into analytical solutions.
Perform data preprocessing, cleansing, and validation to ensure data quality and accuracy.
Create data visualizations and dashboards to communicate findings to stakeholders.
Use statistical techniques to interpret data and make recommendations for process improvements and strategic initiatives.
Monitor policy service and payment system performance and identify opportunities for optimization and enhancement.
Stay up-to-date with the latest industry trends and advancements in data science, analytics, policy services, and payment technologies.
Document and present analytical methodologies and findings to both technical and non-technical audiences.
Requirements:
Bachelor’s or master’s degree in data science, Statistics, Computer Science, Mathematics, or a related field.
4+ years’ experience as a Data Analyst or similar role is preferred.
Proficiency in programming languages such as Python, R, or SQL.
Experience with ETL tools, data visualization tools (e.g., Tableau or PowerBI) and statistical analysis (e.g., hypothesis testing, regression, predictive analytics) is a must.
Strong analytical and problem-solving skills with attention to detail.
Knowledge of machine learning techniques and algorithms.
Familiarity with insurance data, policy administration systems, and payment processing is a plus.
Ability to draw insights from data to provide practical solutions.
Ability to explain technical concepts in a clear and succinct manner to various stakeholders.
Analyze large and complex data sets related to policy administration, payment transactions, customer demographics, policy renewals, and service interactions.
Develop and implement predictive models and algorithms to improve policy retention, customer satisfaction, payment processing efficiency, and fraud detection.
Collaborate with policy services, payments, underwriting, IT, and customer service teams to understand business requirements and translate them into analytical solutions.
Perform data preprocessing, cleansing, and validation to ensure data quality and accuracy.
Create data visualizations and dashboards to communicate findings to stakeholders.
Use statistical techniques to interpret data and make recommendations for process improvements and strategic initiatives.
Monitor policy service and payment system performance and identify opportunities for optimization and enhancement.
Stay up-to-date with the latest industry trends and advancements in data science, analytics, policy services, and payment technologies.
Document and present analytical methodologies and findings to both technical and non-technical audiences.
Requirements:
Bachelor’s or master’s degree in data science, Statistics, Computer Science, Mathematics, or a related field.
4+ years’ experience as a Data Analyst or similar role is preferred.
Proficiency in programming languages such as Python, R, or SQL.
Experience with ETL tools, data visualization tools (e.g., Tableau or PowerBI) and statistical analysis (e.g., hypothesis testing, regression, predictive analytics) is a must.
Strong analytical and problem-solving skills with attention to detail.
Knowledge of machine learning techniques and algorithms.
Familiarity with insurance data, policy administration systems, and payment processing is a plus.
Ability to draw insights from data to provide practical solutions.
Ability to explain technical concepts in a clear and succinct manner to various stakeholders.
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