Senior AI & Business Analytics Engineer
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Job Summary
Role Summary
We are seeking a Senior AI & Business Analytics Engineer to join the Data & AI team of one of Asias leading digital role combines Data Science AI Engineering Cloud Engineering and Advanced Business Analytics. The successful candidate will design build deploy and operate AI-powered solutions that drive revenue growth improve customer engagement optimize pricing strategies and deliver personalized customer experiences. The ideal candidate has experience developing production-grade machine learning solutions building cloud-native data platforms and leveraging Generative AI and AI Agents to create measurable commercial outcomes.
Ideal Candidate Profile
A hands-on practitioner who has successfully deployed end-to-end AI solutions into production combining machine learning cloud engineering data pipelines and AI agents. Examples may include pricing propensity models personalized loan offers recommendation engines customer next-best-action solutions campaign optimization or revenue growth initiatives.
Key Responsibilities
Business Analytics & Machine Learning
Design and deploy predictive models supporting customer growth acquisition retention and revenue generation.
Build pricing propensity recommendation personalization and customer segmentation models.
Develop analytics solutions that improve commercial performance across customer journeys.
Work closely with business stakeholders to identify prioritize and deliver high-impact analytics opportunities.
AI Agents & Personalization
Design and deploy AI agents supporting customer engagement and decision intelligence.
Leverage Generative AI technologies to improve personalization and customer experience.
Build solutions for:
Personalized loan offers
Pricing propensity models
Product recommendation engines
Customer next-best-action solutions
Campaign optimization and targeting
Revenue growth and customer engagement initiatives
Data Engineering & Platform Development
Design and develop ETL/ELT pipelines supporting advanced analytics and AI use cases.
Build DAG-based orchestration and automation workflows.
Ensure reliable access to high-quality data across analytical platforms.
Cloud & AI Platform Engineering
Deploy and manage AI/ML workloads on cloud platforms.
Implement MLOps capabilities and continuous delivery practices.
Support scalable and secure AI platform operations.
Required Qualifications
Bachelors or Masters degree in Computer Science Data Science Statistics Mathematics Engineering or related disciplines.
5 years of experience in Data Science Machine Learning AI Engineering or Advanced Analytics.
Proven experience building and deploying machine learning models into production environments.
Strong Python programming skills and experience with modern AI/ML frameworks.
Experience developing ETL/ELT pipelines and data processing solutions.
Experience with DAG orchestration and workflow automation.
Cloud experience (AWS preferred).
Experience deploying AI/ML solutions and AI agents in production environments.
Practical experience with Generative AI LLMs AI Agents and AI-assisted workflows.
Strong business acumen and ability to translate analytical solutions into measurable business outcomes.
Preferred Qualifications
Banking fintech digital banking or financial services experience.
Experience building:
Pricing propensity models
Recommendation engines
Personalization platforms
Customer segmentation solutions
Revenue optimization initiatives
Experience deploying production-grade AI agents.
Demonstrated ability to quantify business impact through revenue growth customer engagement conversion improvement or operational efficiency gains.
(Note: Due to the high volume of applications we receive we are unable to respond to every candidate individually. If you have not received a response from GFT regarding your application within 10 workdays please consider that we have decided to proceed with other candidates. We truly appreciate your interest in GFT and thank you for your understanding)
Required Experience:
Senior IC
About Company
We see opportunity in technology. In domains such as cloud, AI, mainframe modernisation, DLT and IoT, we blend established practice with new thinking to help our clients stay ahead.
