Senior Data Scientist

About Atome Financial

Headquartered in Singapore, Atome Financial is building a world-class tech enabled financial services platform that is the best companion of our customers lifetime. As a part of the Advance Intelligence Group, a Series D fintech unicorn and ranked Top 10 on LinkedIn's 2023 Top Singapore StartUps list with over 1,400+ staff worldwide, we are united by a shared vision and purpose: to Advance with Intelligence for a Better Life--for our customers, colleagues and communities.

Atome Financial operates in 5 ASEAN markets (Singapore, Malaysia, Indonesia, Philippines, and Thailand). We have 3 key products:

• Atome BNPL: A leading buy now pay later brand in ASEAN and partners over thousands of online and offline brands
• Atome Card: A paylater anywhere card.
• Kredit Pintar: A leading Indonesia digital lending apps, regulated and supervised by Indonesia's Financial Services Authority (OJK).
  
  

Our culture is built on values that are core to who we are and what we stand for:

• We foster an INNOVATION mindset
• We achieve results with EFFICIENCY and excellence
• We take pride in the QUALITY of our work
• We uphold INTEGRITY in all we do
• We embrace COLLABORATION to work across business lines and borders
  
  

Responsibilities

• Design, build and continuously improve data science and AI-powered products, with a primary focus on LLM applications such as chatbots, AI agents, RAG, tool calling and workflow automation. The role may also involve recommendation systems, search, ranking and other machine learning applications.
• Develop and maintain end-to-end machine learning and AI solutions, including data processing, feature engineering, model development, experimentation, evaluation, API services, deployment, monitoring and production optimization.
• Explore and apply modern LLM technologies and frameworks where appropriate, including prompt engineering, retrieval, embeddings, structured outputs, agent workflows and related tooling. Prior hands-on experience with frameworks such as LangChain is a plus, but not required.
• Proficiently leverage coding agents and AI-assisted development tools in daily work to accelerate coding, debugging, testing, refactoring and technical research, while maintaining high standards of code quality and reliability.
• Build robust evaluation and monitoring frameworks for machine learning and LLM applications, covering model or response quality, latency, cost, retrieval/ranking performance and system reliability, and use data and experimentation to continuously improve user experience and business impact.
  
  

Requirements

• Strong programming and software engineering skills, with proficiency in Python and familiarity with developing, deploying and maintaining production-grade data or machine learning applications.
• Solid hands-on experience in data science or machine learning, such as predictive modeling, recommendation systems, search/ranking, NLP, deep learning or other applied ML areas.
• Good understanding of machine learning fundamentals, experimentation and model evaluation. Experience with LLMs, prompt engineering, RAG, vector databases, embeddings, agent systems or major LLM APIs is preferred but not mandatory.
• Strong interest in building LLM-powered products and willingness to quickly learn and work with modern LLM application frameworks and technologies.
• Comfortable using coding agents and AI-assisted development tools as part of the software development workflow, with the ability to effectively instruct, review and validate AI-generated code.
• Diligent and practical, with strong problem-solving, communication and collaboration skills, and the ability to work effectively in a fast-paced environment.
• Candidates with experience building production-grade machine learning systems, recommendation/search systems, or LLM-powered applications will be considered favorably.