Data Scientist – Rapid Prototyping & AI for Banking

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

Job summary

HCLTech in Malaysia is seeking a senior Data Scientist to lead AI model development for prioritized business use cases. You will perform technology watch, rapid feasibility assessments, and benchmark market solutions to drive decisions.

You will design and validate ML/DL models, perform feature engineering, and deliver rapid prototypes within tight timelines. Collaboration with AI teams and knowledge sharing are key.

Qualifications

• Requires a Bachelor’s or Master’s in Information Technology or equivalent.
• Minimum 7 years of experience in Data Science and ML.
• Experience in banking/finance domain with regulatory understanding.
• Proficiency in vibe coding and rapid prototyping for AI.
• Strong ML/DL expertise across supervised/unsupervised, NLP, time-series.

Responsibilities

• Conduct technology watch on AI advancements and research
• Perform rapid feasibility assessments for business use cases (2–3 days)
• Benchmark market solutions using decision matrices
• Develop quick POCs to validate hypotheses
• Provide clear, actionable technical recommendations for decisions
• Participate in business workshops to understand objectives and constraints
• Design and develop ML/DL models for prioritized business use cases
• Collaborate with AI developers to support deployment

Skills

Machine Learning

Deep Learning

NLP

Time-series analysis

Python

scikit-learn

TensorFlow

PyTorch

XGBoost

LightGBM

LLMs

RAG

Prompt engineering

Feature engineering

EDA

SQL

Git

Jupyter

Databricks

AWS SageMaker

Azure ML

GCP Vertex AI

Banking domain knowledge

Education

Bachelor’s or Master’s in Information Technology or equivalent

Tools

Git

Jupyter

Databricks

Job description

HCLTech in Malaysia is seeking a senior Data Scientist to lead AI model development for prioritized business use cases. You will perform technology watch, rapid feasibility assessments, and benchmark market solutions to drive decisions.

You will design and validate ML/DL models, perform feature engineering, and deliver rapid prototypes within tight timelines. Collaboration with AI teams and knowledge sharing are key.