
Data Scientist
- Hong Kong
- Permanent
- Full-time
- Large insurance group
- Data science and machine learning
- Developing and implementing machine learning models (Python) to analyze large datasets.
- Conduct exploratory data analysis and feature engineering
- Develop data pipelines and integrations.
- Identifying trends and patterns to provide actionable business insights.
- Collaborating with cross-functional teams to integrate data-driven solutions.
- Enhancing predictive analytics capabilities to improve decision-making processes.
- Automating data pipelines and ensuring data integrity for analysis.
- Communicating findings and presenting data visualizations to stakeholders.
- Staying updated on the latest advancements in data science and applying them to the insurance industry.
- Contributing to the continuous improvement of data management strategies.
- A strong academic background in data science, computer science, statistics, or a related field.
- 4+ years in data science and machine learning
- Strong experience in developing data/ ML models from scratch
- Proficiency in programming languages such as Python, R, or SQL.
- Experience with machine learning frameworks and tools (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with data engineering tools (e.g., SQL, Spark, Airflow) and cloud platforms.
- Experience with Git & DevOps
- Knowledge of data visualization tools like Tableau or Power BI.
- Excellent problem-solving skills and attention to detail.
- The ability to work collaboratively in a cross- regional team environment.
- Insurance background is a plus.
- Excellence communication skills in Chinese and English with strong capability in business partnering.
- A competitive annual with comprehensive benefits including a 12-month salary plus performance-based bonus.
- Opportunities for career growth and development in the technology department.
- A supportive and innovative work environment with multinational culture.
- Exposure to cutting-edge tools and methodologies in data science.