Data Scientist - Portfolio Analytics & AI Innovation
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Responsibilities
- Portfolio Analytics & Insights
- Analyze complex datasets across consumer, enterprise, and corporate portfolios to generate actionable business insights
- Develop comprehensive reporting frameworks to monitor and ensure achievement of portfolio quality targets
- Collaborate with cross-functional teams to translate analytical findings into strategic recommendations
- Design and implement advanced statistical models to assess portfolio performance and risk metrics
- Machine Learning & AI Model Development
- Build, train, and deploy machine learning and deep learning models for portfolio classification and segmentation
- Develop predictive models to enhance credit risk assessment and customer behavior analysis
- Implement end-to-end ML pipelines from data preprocessing to model deployment and monitoring
- Research and integrate cutting-edge AI techniques to solve complex business challenges
- Marketing Campaign Analytics
- Conduct comprehensive post-campaign analysis to measure effectiveness and ROI of marketing initiatives
- Analyze campaign performance decay patterns and temporal effectiveness trends
- Develop models to understand campaign impact degradation over time and across customer segments
- Create executive-level dashboards and presentations to communicate campaign insights
- Technical Innovation
- Stay current with emerging trends in data science, machine learning, and artificial intelligence
- Prototype and evaluate new analytical tools and methodologies
- Contribute to the development of our AI/ML infrastructure and best practices
- Participate in knowledge sharing sessions and technical discussions within the team
- Required Qualifications
- Technical Skills
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related quantitative field
- Advanced proficiency in Python programming with strong experience in data science libraries (pandas, NumPy, scikit-learn, TensorFlow/PyTorch)
- Solid understanding of machine learning algorithms, statistical modeling, and deep learning architectures
- Experience with data visualization tools and techniques for presenting complex analytical results
- Familiarity with SQL databases and data warehousing concepts
- Professional Attributes
- Demonstrated eagerness to learn and adopt new techniques in deep learning and artificial intelligence
- Strong analytical thinking and problem-solving capabilities
- Excellent communication skills with ability to present technical concepts to non-technical stakeholders
- Self-motivated individual who takes initiative and drives projects to completion
- Collaborative mindset with experience working in cross-functional teams
Benefits
Additional Information
At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal. Job Description Globe Telecom, the Philippines' leading telecommunications company, is seeking a talented Data Scientist to join our Credit Risk Management & Finance AI Department. This role offers the opportunity to drive data-driven insights and develop advanced machine learning solutions that directly impact our portfolio performance and business strategy across our diverse services.
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Company Intel
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