Data Scientist (Artificial Intelligence)

Dcap Commercial; Kuala Lumpur; On-site; MYR 60,000 - 90,000; Full time

Job summary

A fintech innovation company in Kuala Lumpur is seeking a Data Scientist specializing in artificial intelligence. The role involves credit risk modeling, AI experimentation, and application development. Candidates should possess a degree in Data Science or a related field, along with 1-4 years of experience and skills in Python, SQL, and machine learning. This position offers an opportunity to work in a dynamic environment, allowing you to make a significant impact on product evolution and financial inclusion.

Benefits

Career Development

Work alongside experienced leaders

Access by public transport

Qualifications

• 1 - 4 years of experience in data science with a strong portfolio of research projects.
• Demonstrated ability to set up experiments and track metrics.
• Ability to explain experimental results to non-technical stakeholders.

Responsibilities

• Research and develop credit scoring models using machine learning techniques.
• Conduct experiments on Large Language Models to build autonomous agents.
• Collaborate with risk management teams to translate data findings into strategies.

Skills

Python

SQL

Machine Learning

Data Science

Cloud Platforms (AWS, GCP)

Education

Bachelor’s or Master’s degree in Data Science, AI, Computer Science, Statistics, or a related field

Tools

Docker

Job description

DCAP Digital is an innovative leader in the fintech industry, revolutionizing consumer financing with its proprietary Lending-as-a-Service (LaaS) platform. We are leaders combining expertise in both the financial domain and technologies. Our full-stack solution connects liquidity providers with consumers, promoting financial inclusion through alternative credit scoring methods. We empower the underserved segment and first-time borrowers by providing accessible and equitable financing opportunities.

Key Features

• Seamless digital customer journey for partners
• Specialized financing for vehicle purchases
• Dedicated support for the underserved segment

Our Culture

• "Fail-Fast, Learn-Faster": Rapidly testing new ideas to identify what works and what doesn’t.
• Applied Research: Bridging the gap between academic papers and production-grade fintech solutions.
• Continuous Evolution: Viewing every model deployment as an experiment to be monitored, validated, and improved.

We are seeking an experiment-oriented Data Scientist specializing in artificial intelligence to join our dynamic team. This role blends advanced data science expertise with applied AI research to drive the evolution of our products. You will not just implement existing tools but will experiment with novel architectures to solve complex challenges in credit risk and Generative AI.

Key Responsibilities

• Credit Risk Modeling and Analysis (≈50%)
  • Research and develop next-generation credit scoring models using experimental machine learning techniques and non-traditional data sources.
  • Design and execute experiments to test new features and hypotheses regarding credit risk behaviours in underserved populations.
  • Collaborate with risk management teams to translate complex data findings into actionable credit assessment strategies.
  • Enhance model robustness through rigorous A/B testing, back-testing, and validation frameworks.
  • Address ad hoc data analysis requests with a focus on uncovering causal relationships.
• AI Experimentation and Application Development (Approx. 50%)
  • Conduct experiments on Large Language Models (LLM) to build autonomous agents and intelligent workflows.
  • Design rapid prototypes and proof-of-concepts (PoCs) to test the feasibility of new AI technologies.
  • Partner with engineering teams to integrate successful experimental models into our scalable LaaS platform.
  • Optimize LLM inference and RAG (Retrieval-Augmented Generation) pipelines for cost and latency.
• Other Duties Perform other related duties and ad-hoc tasks as assigned by the management to support the department’s goals.

Qualifications

• Technical Skills
  • Bachelor’s or Master’s degree in Data Science, AI, Computer Science, Statistics, or a related field.
  • 1 - 4 years of experience in data science, with a strong portfolio of research projects or experimental modelling.
  • Advanced proficiency in Python and SQL.
  • Experimental Mindset: Demonstrated ability to set up experiments, track metrics, and draw statistical conclusions.
  • Plus: Familiarity with cloud platforms (AWS, GCP) and containerization (Docker).
  • Intellectual Curiosity: A strong desire to dig deep into "why" a model behaves the way it does, not just "how" to deploy it.
  • Communication: Ability to explain experimental results and technical trade-offs to non-technical stakeholders.
  • Resilience: Comfortable with the ambiguity of research work where experiments may fail before they succeed.
• Why You’ll Love This Role
  • VCs-Backed Startup: With the support of big and well-known investors, we’re positioned for long term success.
  • Work alongside experienced leaders and innovators: Who are passionate about cutting-edge technology.
  • Career Development: Be the pioneer key player in a collaborative environment.
  • Make a Real Impact: Your contribution will directly shape the future of our products and the financing industry.
  • Workplace: Accessible by public transport.