Data Analysis, Insurance, 70k

Ambition; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

Ambition seeks a data science leader to design, develop, and deploy ML and analytics solutions for a leading insurance company. You will build predictive models, forecasting tools, and intent-driven analytics while exploring Generative AI use cases.

You will create actionable dashboards with Power BI and translate business needs into scalable data solutions. You will collaborate with business stakeholders and tech teams, handling large datasets, ensuring governance and regulatory compliance, and

Qualifications

• Bachelor's or Master's in a quantitative field.
• 5+ years in Data Science/ML/Advanced Analytics.
• Strong Python and SQL programming.
• Proven production ML model development & deployment.
• Experience with Power BI and data visualization.
• Knowledge of Generative AI/LLMs is advantageous.

Responsibilities

• Design, develop, and deploy ML, AI, and analytics solutions.
• Build predictive, forecasting, and recommendation models.
• Explore Generative AI use cases for innovation and automation.
• Create dashboards and reporting with Power BI for insights.
• Perform feature engineering, model validation, and monitoring.

Skills

Data Science

Python

SQL

Machine Learning

Power BI

Communication

Stakeholder Management

Problem Solving

Education

Bachelor's degree or Master's in Data Science/CS/Statistics/Engineering

Job description

Our client is a leading insurance company.

Responsibilities

• Design, develop, and deploy machine learning, AI, and advanced analytics solutions to solve complex business challenges.
• Build predictive models, recommendation engines, forecasting models, and intelligent decision-support tools.
• Explore Generative AI and Agentic AI use cases to drive innovation and automation.
• Develop interactive dashboards and reporting solutions using Power BI to deliver actionable business insights.
• Perform data exploration, feature engineering, model validation, and performance monitoring on large datasets.
• Partner with business stakeholders, technology teams, and data professionals to translate business requirements into scalable data solutions.
• Present insights, recommendations, and project outcomes to senior stakeholders and business leaders.
• Ensure all solutions follow data governance, privacy, and regulatory requirements.

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Business Analytics, or a related quantitative discipline.
• 5+ years of experience in Data Science, Machine Learning, Advanced Analytics, or related fields.
• Strong hands-on programming skills in Python and SQL.
• Proven experience developing and deploying machine learning models in a production environment.
• Experience with machine learning techniques such as Classification, Regression, Clustering, Forecasting, Recommendation models, Propensity modelling
• Experience working with large and complex datasets.
• Knowledge of Generative AI, Large Language Models (LLMs), AI Agents, or intelligent automation is highly advantageous.
• Experience with Power BI, data visualization, and stakeholder-facing analytics projects.
• Strong communication skills with the ability to explain technical concepts to non-technical stakeholders.
• Able to thrive in a fast-paced project environment and manage multiple initiatives concurrently.