Data Scientist

HCLTech; Putrajaya; On-site; MYR 180,000 - 280,000; Full time

Job summary

HCLTech is seeking an experienced Data Scientist/AI Specialist to drive rapid prototyping and advanced AI solutions for banking and finance use cases. You will lead the model design, feature engineering, and evaluation, translating complex analytics into actionable business recommendations.

The role demands strong hands‑on skills with Python, ML frameworks, and cloud platforms, plus the ability to communicate clearly with both technical and business stakeholders.

Qualifications

• Bachelor’s or Master’s degree in Information Technology or equivalent.
• Minimum 7 years’ experience in Data Science and Machine Learning.
• Demonstrated banking or finance sector experience with regulatory understanding.
• Proven vibe coding experience for rapid prototyping and productivity.
• Experience with supervised and unsupervised learning, deep learning, NLP, and time‑series analysis.
• Proficiency in Python and ML frameworks.
• In-depth knowledge of LLMs and modern approaches (fine‑tuning, RAG, prompt engineering, agents).
• Strong feature engineering, statistics, and model evaluation skills.
• Experience with cloud platforms (AWS SageMaker, Azure ML, GCP Vertex AI).
• SQL and large‑scale data handling; version control (Git), notebooks (Jupyter), and Databricks.
• Nice to have: Computer Vision, Reinforcement Learning, Graph ML.

Responsibilities

• Conduct regular technology watch on AI advancements and tools.
• Perform rapid feasibility assessments for business use cases (2–3 days).
• Benchmark market solutions and open‑source alternatives using decision matrices.
• Develop quick proofs‑of‑concepts to validate hypotheses before large investments.
• Provide actionable technical recommendations to support decision‑making.
• Design and develop ML/DL models for prioritized business use cases.
• Select and justify algorithms from baseline to state‑of‑the‑art.
• Feature engineering and model optimization for performance and robustness.
• Deliver rapid prototypes using vibe coding within 2–4 weeks.
• Validate models with metrics, robustness, and bias checks.
• Document methodology, experiments, and results.

Skills

Phyton

Machine learning

NLP

Time-series analysis

LLMs

RAG

Education

Bachelor's or Master's in Information Technology

Tools

AWS SageMaker

Azure ML

GCP Vertex AI

SQL

Git

Jupyter

Databricks

Job description

• Conduct regular technology watch on AI advancements, including research papers, emerging techniques, and new tools
• Perform rapid technical feasibility assessments for business use cases within short timelines (2–3 days)
• Benchmark market solutions by comparing vendor offerings and open‑source alternatives using decision matrices
• Develop quick proof‑of‑concepts (POCs) to validate hypotheses prior to significant investment
• Provide clear, actionable technical recommendations to support decision‑making
• Participate in business workshops to understand objectives, constraints, and potential AI applications
• Design and develop machine learning and deep learning models for prioritized business use cases
• Select and justify appropriate algorithms and technical approaches, from baseline to state‑of‑the‑art solutions
• Perform feature engineering and model optimization to enhance performance, robustness, and reliability
• Deliver rapid prototypes using vibe coding methodologies within 2–4 weeks
• Ensure rigorous model validation, including performance metrics, robustness checks, and bias assessment
• Produce comprehensive technical documentation covering methodology, experiments, and results
• Collaborate closely with AI developers to support solution industrialization and deployment
• Provide hands‑on support to junior Data Scientists through pair programming and code reviews
• Facilitate knowledge transfer on advanced AI techniques, tools, and best practices
• Share technology watch insights with the team via documentation, presentations, and technical talks
• Contribute to and evolve a shared library of prompts and vibe‑coding techniques
• Lead technical workshops and feedback sessions to promote continuous learning and improvement

Skill Requirements

• Bachelor’s or Master’s degree in Information Technology or an equivalent field
• Minimum of 7 years’ experience in Data Science and Machine Learning
• Proven experience within the banking or finance sector, with understanding of business and regulatory challenges
• Demonstrated expertise in vibe coding, leveraging AI tools for rapid prototyping and productivity
• Supervised and unsupervised learning
• Deep learning, NLP, and time‑series analysis
• Proficiency in Python and key ML frameworks:
• In‑depth knowledge of Large Language Models (LLMs) and modern approaches:
• Fine‑tuning, Retrieval‑Augmented Generation (RAG), prompt engineering, and agents
• Advanced skills in feature engineering and variable selection
• Strong foundation in exploratory data analysis (EDA) and statistics
• Experience with model evaluation and optimisation, including hyperparameter tuning and cross‑validation
• Hands‑on experience with cloud‑based ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI)
• Proficiency in SQL and working with large‑scale datasets
• Experience with version control and data science tools:
• Git, Jupyter, Databricks
• Nice to have: Exposure to Computer Vision, Reinforcement Learning, or Graph ML

Soft Skills & Professional Attributes

• Strong intellectual curiosity with an active technology‑watch mindset
• Ability to synthesize complex technical concepts into clear, actionable recommendations
• Critical and analytical approach to model outputs and AI‑generated code
• Pragmatic decision‑making with focus on ROI and business impact
• High level of scientific rigor in experimentation, validation, and documentation
• Excellent communication skills, both technical and business‑oriented
• Comfort working in ambiguous and evolving environments
• Proactive mindset with the ability to initiate ideas and make proposals
• Strong mentoring and pedagogical skills, supporting junior Data Scientists
• Agile, adaptive, and collaborative working style

Must Have Skills

• Phyton
• Machine Learning and Statistical modeling