Agency Data Science, Consultant (Manager Level) (Power BI & Data Engineering Focused)
HK-AIA Airside, Hong Kong
AIA
AIA provides insurance solutions to both individuals and businesses. Find out more about our services and latest updates.At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.
As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.
To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.
If you believe in developing a better tomorrow, read on.
About the Role
The Agency department of AIA Insurance is seeking a skilled and results-driven Data Scientist to join our dynamic team. The successful candidate will leverage advanced analytical techniques and Power BI for data visualization, report building, and dashboard creation to drive business decisions, optimize processes, and enhance customer experiences. You will collaborate with cross-functional teams to apply data-driven insights to a range of business problems, contributing directly to the company’s digital transformation in the insurance industry.Roles and Responsibilities:
- Power BI Expertise: Proficiency in Power BI for data visualization, report building, and dashboard creation. Experience with DAX and Power Query is a plus.
- Data Handling: Strong SQL skills for querying and managing large datasets. Experience with data modeling and ETL pipelines is preferred.
- Programming Skills: Proficiency in Python or R for data analysis and automation.
- 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 and data story-telling: Create impactful presentations to effectively communicate insights to non-technical stakeholders and guide strategic decision-making.
Minimum Job Requirements:
Qualifications
- 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:
- High proficiency in Power BI, and programming languages such as Python and SQL.
- Strong knowledge of statistical analysis techniques and modeling methods.
- Familiarity with big data technologies such as Hadoop, Spark, or Databricks.
- Expertise in SQL for data manipulation and querying.
Experience:
- Minimum 5 years of professional experience as a Data Scientist, preferably in the insurance sectors.
- Proven track record of developing and implementing machine learning models in production environments.
- Strong ability to work with large, complex datasets.
Personal Attributes
- Strong problem-solving skills with a keen analytical mindset.
- High coding standards on analysis, models and data pipeline
- Ability to communicate complex technical concepts to non-technical stakeholders.
- Excellent teamwork and collaboration skills in a cross-functional environment.
- Detail-oriented with the ability to maintain accuracy in high-pressure situations.
- Self-motivated and curious, always seeking opportunities for innovation and improvement.
Others:
- You are required to obtain the relevant license(s) if your job involves regulated activities
Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.
You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Data analysis Databricks Data quality Data visualization Engineering ETL Hadoop Machine Learning Mathematics ML models PhD Pipelines Power BI Python R Spark SQL Statistics
Perks/benefits: Team events
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