About The Role:
At Krom Bank Indonesia, we are building the future of digital banking through Machine Learning and AI, including Large Language Models (LLMs) and AI agents. We are looking for a Data Scientist who will work closely with Analysts, Machine Learning Engineers, Product teams, and business stakeholders to build practical AI solutions that improve customer experience, internal operations, and business decision-making.
You will take ownership from problem discovery, experimentation, and model development to deployment and continuous improvement in production. Our ideal candidate is hands-on, result-focused, and strong in both quantitative thinking and business understanding.
⸻
Job Purpose:
Design, develop, and deploy machine learning models and AI-powered applications across functions such as credit scoring, fraud detection, risk management, customer intelligence, and operational automation.
⸻
Key Responsibilities:
- Build and deploy machine learning models and AI-powered applications
- Develop predictive models for credit scoring, fraud detection, recommendation systems, and customer segmentation
- Build AI applications using LLMs, RAG, and AI agents for internal and customer-facing use cases
- Design end-to-end AI pipelines from data preparation to production deployment
- Research and improve models using modern ML techniques and AI tooling
- Collaborate with Product, Engineering, Risk, Operations, and Business teams to solve business problems
- Monitor and improve model performance, reliability, and explainability
- Contribute to Data Science and AI best practices across the team
About You:
Formal Education:
- Minimum Bachelor's Degree (S1) in Computer Science, Mathematics, Statistics, Engineering, Artificial Intelligence, or other related quantitative fields.
⸻
Professional Qualification
- Strong understanding of machine learning modeling and predictive analytics
- Proficiency in Python or R
- Good knowledge of MySQL/PostgreSQL and data platforms such as S3
- Experience building and deploying ML or AI applications
- Familiarity with LLMs and modern AI application patterns
- Strong analytical thinking and problem-solving skills
- Good communication and collaboration skills
- Strong ownership mindset and ability to work in a fast-paced environment
⸻
Relevant Work Experience
- Minimum 1 year of relevant experience in Data Science, Machine Learning, or AI development
- Hands-on experience building and deploying machine learning models or AI applications
Preferred Qualifications
- Experience building LLM-powered applications such as chatbots, AI assistants, or AI agents
- Familiarity with RAG, vector databases, and frameworks such as LangChain, Google ADK, or OpenAI Agents
- Experience using FastAPI, Streamlit, or similar frameworks
- Experience in Deep Learning and/or NLP models
- Experience in fintech, digital banking, lending, or high-scale consumer platforms
Bonus Points
- Experience with credit risk modeling, fraud detection, or alternate data evaluation in financial services
