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9 Sept 2025

Expert, Data Decision Science (Life Insurance project)

Category:  Retail Banking Group
Job Type: 
Facility:  Data & Analytics

Job Purpose

Empowering self-service analytics: Build intuitive dashboards and manage scalable data models that help teams access and explore data independently. 

Solving business problems with insights: Apply analytical thinking to uncover patterns, trends, and root causes that drive business performance and customer value. 

Scaling intelligence with ML & AI: Leverage machine learning and AI to address unknown-unknowns, automate decision-making, and unlock new opportunities at scale. 

Key Accountabilities (1)

1. Data Analytics & Visualization

  • Design and maintain scalable data models and dashboards that empower business users to explore data and make informed decisions independently.

  • Analyze complex datasets using scripting languages (e.g., SQL, Python) to uncover trends, patterns, and performance drivers. 

  • Develop visualizations and reports that support data storytelling and enhance understanding of business-critical metrics.

  • Collaborate with stakeholders to define analytical needs and translate them into actionable data solutions.

 

Key Accountabilities (2)

2. Insight Generation & Business Problem Solving

  • Lead deep-dive analyses to identify root causes, business opportunities, and performance gaps.

  • Translate data into meaningful insights that inform strategic decisions and improve customer value and operational efficiency.

  • Build and maintain statistical models for ongoing and ad hoc analysis to support performance management and business planning.

  • Partner with cross-functional teams to frame business questions and deliver data-driven answers.

Key Accountabilites (3)

3. Scalable Intelligence with ML & AI

  • Apply machine learning and AI techniques to solve complex, ambiguous problems—especially those involving unknown-unknowns.

  • Develop and monitor models that automate decision-making and unlock new business capabilities.

  • Evaluate and integrate new data sources and technologies to enhance model accuracy and relevance.

Success Profile - Qualification and Experiences

Qualifications 
- Bachelor's degree in Data Science, Risk Management, Statistics, Mathematics or Quantitative Analysis 
Work Experience 
- 5+ years of relevant experience in areas of data science, data analysis, reporting và planning, problem solving for business 
- English proficiency requirements are pursuant to Techcombank's policy 
- Experience in querying databases and using programming languages (e.g. R, Python, Scala, SQL) 
- Experience in building reporting with actionable intelligent 
- Experience communicating complex analysis and models across a diverse team 
- Experience in data management, ETL and analysis functions  
- Experience with data analysis and BI tools such as Tableau, QlikView, Spark would be a plus 
- Deep understanding of Information Security principles to ensure compliant handling and management of data 
- Strong understanding of Agile principles, practices and scrum methodology 
- Experience working in Agile teams to support digital transformation projects 

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