Mô tả công việc
11 Nov 2026
Data Science Expert
Category: Finance & Planning Division
Job Type:
Facility: Data & Analytics
Key Accountabilities
1. Forecasting & Planning
- Develop models for balance sheet and P&L forecasting
- Build driver‑based and scenario forecasting models
- Improve forecast accuracy and reduce manual adjustments
2. Profitability & Optimization
- Analyze profitability across customers, segment, product, channel
- Optimize pricing, marketing spends, and capital allocation
3. Customer & Business Decisioning
- Develop models: churn, CLTV, next‑best‑action, cross/upsell
- Support business teams with actionable insights
- Improve commercial effectiveness and productivity
4. Analytical Products & Automation
- Build reusable Data pipelines, ML pipelines, feature sets
- Develop dashboards and decision‑support tools
- Automate reporting, analysis, insight generation
Success Profile - Qualification and Experiences
- Strong background in Data Science / ML / Quantitative Analytics
- Proficient in Python, SQL, Spark
- Experience in Forecasting (time series), Causal inference, experimentation, Model validation & explainability
- Experience with data pipelines, ML pipelines, MLOps
- Strong business translation and stakeholder management
- Clear, concise communication of insights
- Profiency in English
Benefits
- Competitive salary package, including 13th‑month salary and performance‑based bonus.
- Annual salary review and performance evaluation.
- 15 days of annual leave and 01 birthday leave.
- Opportunities to participate in Techcombank's advanced training and development programs.
- Clear career development pathways with strong support and guidance from the management team.
- Comprehensive employee well‑being benefits, including health insurance/healthcare coverage, annual health check‑ups, birthday gifts from the Bank, team‑building activities, year‑end parties, and more.
- Provision of all necessary tools and equipment to support work effectively.
- Access to professional and technical training programs to enhance job‑related competencies.
Yêu cầu kinh nghiệm
Strong background in data science, ML, or quantitative analytics; proficiency in Python, SQL, Spark; experience in forecasting, causal inference, experimentation, model validation, data pipelines, and MLOps; strong business translation and communication; English proficiency.