Data Scientist, Global Insurance Company, 60-75k

Full Description

In this role, you'll apply your analytical expertise and machine learning skills to drive strategic decisions, streamline processes, and elevate customer experiences. This role will be a 1-year secondment contract and highly renewable.

Your New Role:

• Data Analysis & Insights: Utilize advanced statistical methods to explore large datasets, uncover trends, and create predictive models that tacklebusiness challenges, delivering actionable insights.

• Machine Learning Development: Design and implement machine learning algorithms to enhance agent performance and optimize policy offerings. Familiarity with techniques such as decision trees, SVM, clustering, and deep learning is essential.

• Data Engineering: Ensure the integrity of our data by cleaning and processing extensive datasets from various sources.

• Cross-Functional Collaboration: Partner with agency leaders, product managers, and IT teams to translate business needs into effective data science solutions.

• Effective Communication: Craft engaging presentations to share insights with non-technical stakeholders, influencing strategic decisions.

Qualifications:

• Education: Bachelor's or Master’s degree in a quantitative field (e.g., Data Science, Computer Science, Statistics, Mathematics). PhD candidates are encouraged to apply.

• Technical Skills:

• Proficient in Python and SQL.

• Experience with machine learning libraries like Pandas, NumPy, TensorFlow, Keras, or PyTorch.

• Strong statistical analysis and modeling expertise.

• Familiarity with big data technologies (Hadoop, Spark, Databricks).

• Proficient in SQL for data querying and manipulation.

• Experience with data visualization tools such as Tableau or Power BI.

• Experience: At least 5 years as a Data Scientist, ideally within the insurance sector, with a proven history of deploying machine learning models in live environments.

• Fluent in Chinese (Cantonese) and English.