Data Scientist - Customer Lifetime Value & Predictive Analytics

Michael Page International (Hong Kong) Limited; Hong Kong; On-site; HKD 480,000 - 720,000; Full time

Benefits offered by this job

Professional development and learning opportunities

Engagement in cutting-edge projects

Collaborative workplace culture

Job summary

Michael Page International (Hong Kong) Limited is seeking a Data Scientist specializing in Customer Lifetime Value and Predictive Analytics. The role involves developing predictive models, utilizing advanced analytics, and collaborating with cross-functional teams to deliver data-driven solutions in the insurance sector.

The ideal candidate will possess a strong academic background in data science, proficiency in programming languages such as Python, and experience with machine learning frameworks. This position offers an opportunity to work on renewable contracts with potential for long-term growth in a collaborative environment.

Qualifications

• Strong academic background in data science, statistics, or related fields.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with machine learning frameworks and predictive modeling techniques.
• Excellent problem-solving skills and attention to detail.
• Familiarity with data visualization tools like Tableau or Power BI.
• Collaborative mindset and ability to work effectively in team environments.
• Passion for leveraging data to drive insights and improve customer outcomes.

Responsibilities

• Develop predictive models to analyze customer lifetime value.
• Utilize advanced analytics to forecast customer behaviors.
• Collaborate with cross-functional teams for data-driven solutions.
• Design and deploy machine learning algorithms to optimize outcomes.
• Interpret complex datasets for actionable insights.
• Ensure data integrity in predictive analytics projects.
• Create dashboards and visualizations for findings.
• Stay updated on emerging data science technologies.

Skills

Programming in Python

Machine Learning frameworks

Data visualization tools (Tableau/Power BI)

Predictive modeling techniques

Problem-solving skills

Education

Degree in data science, statistics, or computer science

Job description

About Our Client

The employer is a well-established, large organization within the insurance sector, known for leveraging advanced technologies to enhance customer experiences. Based in Hong Kong, the company is committed to driving innovation and delivering impactful solutions.

Job Description

As a Data Scientist - Customer Lifetime Value & Predictive Analytics, your main responsibilities will include:

• Developing predictive models to analyze customer lifetime value and enhance retention strategies.
• Utilizing advanced analytics to forecast customer behaviors and trends within the insurance industry.
• Collaborating with cross-functional teams to implement data-driven solutions.
• Designing and deploying machine learning algorithms to optimize business outcomes.
• Interpreting complex datasets to provide actionable insights for stakeholders.
• Ensuring data integrity and accuracy in predictive analytics projects.
• Creating dashboards and visualizations to communicate findings effectively.
• Staying updated on emerging technologies and methodologies in data science.

The Successful Applicant

A successful Data Scientist - Customer Lifetime Value & Predictive Analytics should have:

• A strong academic background in data science, statistics, computer science, or related fields.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with machine learning frameworks and predictive modeling techniques.
• Excellent problem-solving skills and attention to detail.
• Familiarity with data visualization tools like Tableau or Power BI.
• A collaborative mindset and ability to work effectively in team environments.
• A passion for leveraging data to drive insights and improve customer outcomes.

What's on Offer

• Opportunity to work on a renewable contract with potential for long-term growth.
• Engagement in cutting-edge data science projects within the insurance industry.
• Collaborative and forward-thinking workplace culture in Hong Kong.
• Access to professional development and learning opportunities.