Senior Data Scientist

Bachelor’s degree or above in Statistics, Mathematics, Actuarial Science or Computer Science with at least 5 years of relevant working experience Possesses extensive expertise in machine learning algorithms and techniques, including supervised learning, unsupervised learning, and deep learning Has in-depth knowledge of statistical analysis methods and their applications in data science Skilled in optimizing data processing workflows to efficiently handle and analyze large amount of data Demonstrates advanced proficiency in Python, with extensive experience in writing efficient, maintainable, and well-documented code Has a working knowledge of PySpark, capable of performing basic data manipulation and processing tasks in a distributed computing environment Experience of working on a cloud-based ML platform is a plus; Experience of working with insurance related data is a plus

Innovate and implement cutting-edge machine learning algorithms, aiming to extract greater lift from our data and deliver enhanced value to our customers Proactively seek out and identify useful attributes from various data sources to enhance our core data assets. Rigorously validate the utility and relevance of new data to ensure it contributes to the improvement of our models and insights Conduct thorough descriptive and statistical analyses on customer data to uncover valuable patterns and insights. Apply creative analytical approaches to ensure that results are directly aligned with customer needs and support their business decision-making processes Present results, findings, and models to customers and stakeholders with a high level of technical expertise and industry knowledge. Act as a technical expert, industry insider, and company promoter, ensuing that presentations are clear, informative, and persuasive Work closely with other data scientists, engineers, product managers, and other stakeholders to integrate machine learning models and statistical analyses into our products and services. Ensure seamless collaboration and knowledge sharing across the teams Keep up with the latest developments and trends in machine learning, data science, and the insurance technology industry. Apply this knowledge to continuously improve our models, methodologies, and approaches Adhere to data privacy regulations and ensure that all data handling practices comply with relevant legal and ethical standards. Maintain the highest levels of data security and confidentiality Mentor and support the professional growth of the junior team members, fostering a culture of continuous learning and development