Data Scientist

Persyaratan Umum

Deskripsi Pekerjaan

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

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