Senior Data Scientist
Summary
Build and validate AI/ML models for financial services, focusing on rapid prototyping, LLM techniques, and end-to-end ML/DL development in a fast-paced, agile environment.
Senior AI/ML Data Scientist – Innovation & Model Development
Key Responsibilities
- Track latest AI/ML developments (LLMs, architectures, emerging techniques) and assess relevance to business use cases
- Evaluate feasibility of AI solutions and recommend optimal technical approach
- Build rapid POCs (2–3 days) to validate ideas before investment
- Benchmark vendor and open-source solutions with clear comparison and recommendations
- Design and develop ML/DL models end-to-end (algorithm selection, feature engineering, optimisation)
- Deliver prototypes within short timelines (2–4 weeks) with strong validation standards
- Ensure model performance, robustness, and bias checks
- Use generative AI tools (e.g. Copilot, ChatGPT, Claude, Cursor) to accelerate prototyping and development
- Collaborate with product, business, and engineering teams in an agile environment
- Support junior team members through mentoring, code reviews, and knowledge sharing
Skills & Experience
- 7+ years of experience in Data Science / Machine Learning
- Proven experience in banking or financial services
- Strong expertise in ML/DL (supervised, unsupervised, NLP, time series)
- Hands‑on experience with Python (scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM)
- Solid understanding of LLMs and modern techniques (fine‑tuning, RAG, prompt engineering, agents)
- Strong foundation in statistics, EDA, feature engineering, and model evaluation
- Experience with SQL and large‑scale data processing
- Exposure to cloud ML platforms (AWS, Azure, or GCP)
- Familiarity with Git, Jupyter, Databricks
Preferred Skills & Attributes
- Experience in Computer Vision, Reinforcement Learning, or Graph ML
- Strong analytical thinking and problem solving
- Ability to simplify complex topics into clear recommendations
- Critical mindset towards model outputs and AI-generated code
- Pragmatic, with focus on speed and business impact
- Strong communication and stakeholder management
- Comfortable working in ambiguity
- Proactive, with ownership and mentoring mindset
Work Environment
- Agile, fast‑paced innovation environment
- Close collaboration with business, product, and engineering teams
- Focus on rapid experimentation and delivery of AI solutions
- English‑speaking environment (fluency required)
Work Location
Putrajaya (Fully onsite role)