Data Science Expert for Insurance Sector
5 days ago
Driving Digital Transformation in Insurance
AIA International Limited is at the forefront of creating a healthier, more sustainable future for everyone. As a pioneering innovator for over 100 years, we're transforming our organisation to be faster, simpler and more connected.
To achieve this vision, we need skilled professionals with expertise in data science to develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people.
About the RoleThe Agency department of AIA International Limited seeks an experienced Data Scientist to join our dynamic team. The successful candidate will leverage advanced analytical techniques and machine learning models to drive business decisions, optimise processes, and enhance customer experiences.
- Data Analysis & Insights: Apply advanced statistical techniques to analyse large datasets, identify patterns, and build predictive models that address business challenges and provide actionable insights to the business.
- Machine Learning Models: Develop and deploy machine learning models and algorithms to solve complex problems in agent performance and policy optimisation. Work with algorithms such as decision trees, SVM, clustering, ensemble methods, and deep learning models.
- Data Engineering: Ensure data quality by cleaning, transforming, and processing large datasets from multiple sources.
- Collaboration: Work closely with business stakeholders, including agency leaders, product managers, and IT to understand business requirements and translate them into data science solutions.
- Presentation & Storytelling: Create impactful presentations to effectively communicate insights to non-technical stakeholders and guide strategic decision-making.
- Education: A Bachelor's or Master's degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics. PhD candidates are welcome to apply.
- Technical Skills: Proficiency in programming languages such as Python and SQL. Experience with machine learning frameworks like Pandas, NumPy, TensorFlow, Keras, or PyTorch. Strong knowledge of statistical analysis techniques and modelling methods. Familiarity with big data technologies such as Hadoop, Spark, or Databricks. Expertise in SQL for data manipulation and querying. Experience with data visualisation tools like Tableau, Power BI.
- Experience: Minimum 3 years of professional experience as a Data Scientist, preferably in the insurance sector. Proven track record of developing and implementing machine learning models in production environments. Strong ability to work with large, complex datasets and derive actionable insights.
- Problem-Solving Skills: Strong problem-solving skills with a keen analytical mindset.
- Coding Skills: Strong coding skills.
- Communication Skills: Ability to communicate complex technical concepts to non-technical stakeholders.
- Teamwork Skills: Excellent teamwork and collaboration skills in a cross-functional environment.
- Attention to Detail: Detail-oriented with the ability to maintain accuracy in high-pressure situations.
- Innovation: Self-motivated and curious, always seeking opportunities for innovation and improvement.
A career with us means being part of a global community that values innovation, collaboration and excellence. We offer competitive compensation packages and opportunities for growth and development.
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