Senior Data Scientist

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)

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