Data Consultant

Job Summary

About the role HCL Technologies Malaysia SDN BHD is seeking a motivated and talented Senior Data Scientist to join our team in Kuala Lumpur. This full-time position offers the opportunity to work on cutting-edge projects and collaborate with a dynamic team of professionals. What you'll be doing As part of IT Innovation projects, you will join the AI Factory/Innovation team as a Senior Data Scientist with a dual strategic role: technology watch and AI model development. Mission 1 – Technology watch and feasibility: You will be the technical reference for new AI/ML approaches (LLMs, new architectures, emerging techniques). You will assess the technical feasibility of business use cases, benchmark market solutions (vendors, open-source), and deliver quick POCs (2–3 days) to validate hypotheses before major investment. Mission 2 – AI model development: You will design and develop ML/DL models for selected use cases, from algorithm selection to final optimisation. You will build rapid prototypes (POCs in 2–4 weeks) and support a junior Data Scientist in developing their skills. As a vibe coding expert, you use generative AI tools (GitHub Copilot, Cursor, Claude, ChatGPT) to accelerate data exploration, model prototyping, analysis code generation and documentation, while maintaining a critical mindset regarding the results. You will work in an agile mode, closely with the Products & Innovation business teams, AI developers, architects and other Data Scientists. Targeted profile : Senior Data Scientist with banking/finance experience, expert in ML/DL and proficient in vibe coding, able to quickly assess the technical feasibility of AI use cases, develop POCs, and stay at the forefront of technological advances. Technology watch and feasibility: •     Weekly technology watch on AI advances (papers, new approaches, tools) •    Rapid technical feasibility assessments of business use cases (2–3 days max) •    Benchmark of market solutions (vendors vs open-source) with decision matrix •    Quick POCs to validate hypotheses before major investment •    Clear and actionable technical recommendations for decision-makers •    Participation in business workshops to understand needs AI model development: •    Design and development of ML/DL models for priority use cases •    Justified choice of algorithms and technical approaches (baseline, state-of-the-art) •    Feature engineering and model optimisation (performance, robustness) •    Rapid prototyping using vibe coding (POC in 2–4 weeks) •    Rigorous validation of models (metrics, robustness, bias) •    Comprehensive technical documentation (notebooks, methodology, results) •    Collaboration with AI developers for industrialisation Mentoring and knowledge sharing: •    Support to the junior Data Scientist (pair programming, code reviews) •    Knowledge transfer on advanced techniques and best practices •    Sharing of technology watch findings with the team (tech talks, documentation) •    Contribution to the library of prompts and vibe coding techniques •    Facilitation of technical workshops and feedback sessions What we're looking for •     Bachelor's or Master degree in information technology or equivalent •      •    At least 7 years of experience in Data Science / Machine Learning •    Proven experience in the banking/finance sector (understanding of business challenges) •    Demonstrated experience in vibe coding with productive use of AI tools for rapid prototyping •    Expertise in ML/DL: supervised learning, unsupervised learning, deep learning, NLP, time series •    Proficiency in Python frameworks: scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM •    In-depth knowledge of LLMs and modern techniques (fine-tuning, RAG, prompt engineering, agents) •    Expertise in feature engineering and variable selection •    Strong skills in exploratory data analysis and statistics •    Experience in model evaluation and optimisation (hyperparameter tuning, cross-validation) •  

Key Responsibilities

About the role HCL Technologies Malaysia SDN BHD is seeking a motivated and talented Senior Data Scientist to join our team in Kuala Lumpur. This full-time position offers the opportunity to work on cutting-edge projects and collaborate with a dynamic team of professionals. What you'll be doing As part of IT Innovation projects, you will join the AI Factory/Innovation team as a Senior Data Scientist with a dual strategic role: technology watch and AI model development. Mission 1 – Technology watch and feasibility: You will be the technical reference for new AI/ML approaches (LLMs, new architectures, emerging techniques). You will assess the technical feasibility of business use cases, benchmark market solutions (vendors, open-source), and deliver quick POCs (2–3 days) to validate hypotheses before major investment. Mission 2 – AI model development: You will design and develop ML/DL models for selected use cases, from algorithm selection to final optimisation. You will build rapid prototypes (POCs in 2–4 weeks) and support a junior Data Scientist in developing their skills. As a vibe coding expert, you use generative AI tools (GitHub Copilot, Cursor, Claude, ChatGPT) to accelerate data exploration, model prototyping, analysis code generation and documentation, while maintaining a critical mindset regarding the results. You will work in an agile mode, closely with the Products & Innovation business teams, AI developers, architects and other Data Scientists. Targeted profile : Senior Data Scientist with banking/finance experience, expert in ML/DL and proficient in vibe coding, able to quickly assess the technical feasibility of AI use cases, develop POCs, and stay at the forefront of technological advances. Technology watch and feasibility: •     Weekly technology watch on AI advances (papers, new approaches, tools) •    Rapid technical feasibility assessments of business use cases (2–3 days max) •    Benchmark of market solutions (vendors vs open-source) with decision matrix •    Quick POCs to validate hypotheses before major investment •    Clear and actionable technical recommendations for decision-makers •    Participation in business workshops to understand needs AI model development: •    Design and development of ML/DL models for priority use cases •    Justified choice of algorithms and technical approaches (baseline, state-of-the-art) •    Feature engineering and model optimisation (performance, robustness) •    Rapid prototyping using vibe coding (POC in 2–4 weeks) •    Rigorous validation of models (metrics, robustness, bias) •    Comprehensive technical documentation (notebooks, methodology, results) •    Collaboration with AI developers for industrialisation Mentoring and knowledge sharing: •    Support to the junior Data Scientist (pair programming, code reviews) •    Knowledge transfer on advanced techniques and best practices •    Sharing of technology watch findings with the team (tech talks, documentation) •    Contribution to the library of prompts and vibe coding techniques •    Facilitation of technical workshops and feedback sessions What we're looking for •     Bachelor's or Master degree in information technology or equivalent •      •    At least 7 years of experience in Data Science / Machine Learning •    Proven experience in the banking/finance sector (understanding of business challenges) •    Demonstrated experience in vibe coding with productive use of AI tools for rapid prototyping •    Expertise in ML/DL: supervised learning, unsupervised learning, deep learning, NLP, time series •    Proficiency in Python frameworks: scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM •    In-depth knowledge of LLMs and modern techniques (fine-tuning, RAG, prompt engineering, agents) •    Expertise in feature engineering and variable selection •    Strong skills in exploratory data analysis and statistics •    Experience in model evaluation and optimisation (hyperparameter tuning, cross-validation) •  

Skill Requirements

About the role HCL Technologies Malaysia SDN BHD is seeking a motivated and talented Senior Data Scientist to join our team in Kuala Lumpur. This full-time position offers the opportunity to work on cutting-edge projects and collaborate with a dynamic team of professionals. What you'll be doing As part of IT Innovation projects, you will join the AI Factory/Innovation team as a Senior Data Scientist with a dual strategic role: technology watch and AI model development. Mission 1 – Technology watch and feasibility: You will be the technical reference for new AI/ML approaches (LLMs, new architectures, emerging techniques). You will assess the technical feasibility of business use cases, benchmark market solutions (vendors, open-source), and deliver quick POCs (2–3 days) to validate hypotheses before major investment. Mission 2 – AI model development: You will design and develop ML/DL models for selected use cases, from algorithm selection to final optimisation. You will build rapid prototypes (POCs in 2–4 weeks) and support a junior Data Scientist in developing their skills. As a vibe coding expert, you use generative AI tools (GitHub Copilot, Cursor, Claude, ChatGPT) to accelerate data exploration, model prototyping, analysis code generation and documentation, while maintaining a critical mindset regarding the results. You will work in an agile mode, closely with the Products & Innovation business teams, AI developers, architects and other Data Scientists. Targeted profile : Senior Data Scientist with banking/finance experience, expert in ML/DL and proficient in vibe coding, able to quickly assess the technical feasibility of AI use cases, develop POCs, and stay at the forefront of technological advances. Technology watch and feasibility: •     Weekly technology watch on AI advances (papers, new approaches, tools) •    Rapid technical feasibility assessments of business use cases (2–3 days max) •    Benchmark of market solutions (vendors vs open-source) with decision matrix •    Quick POCs to validate hypotheses before major investment •    Clear and actionable technical recommendations for decision-makers •    Participation in business workshops to understand needs AI model development: •    Design and development of ML/DL models for priority use cases •    Justified choice of algorithms and technical approaches (baseline, state-of-the-art) •    Feature engineering and model optimisation (performance, robustness) •    Rapid prototyping using vibe coding (POC in 2–4 weeks) •    Rigorous validation of models (metrics, robustness, bias) •    Comprehensive technical documentation (notebooks, methodology, results) •    Collaboration with AI developers for industrialisation Mentoring and knowledge sharing: •    Support to the junior Data Scientist (pair programming, code reviews) •    Knowledge transfer on advanced techniques and best practices •    Sharing of technology watch findings with the team (tech talks, documentation) •    Contribution to the library of prompts and vibe coding techniques •    Facilitation of technical workshops and feedback sessions What we're looking for •     Bachelor's or Master degree in information technology or equivalent •      •    At least 7 years of experience in Data Science / Machine Learning •    Proven experience in the banking/finance sector (understanding of business challenges) •    Demonstrated experience in vibe coding with productive use of AI tools for rapid prototyping •    Expertise in ML/DL: supervised learning, unsupervised learning, deep learning, NLP, time series •    Proficiency in Python frameworks: scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM •    In-depth knowledge of LLMs and modern techniques (fine-tuning, RAG, prompt engineering, agents) •    Expertise in feature engineering and variable selection •    Strong skills in exploratory data analysis and statistics •    Experience in model evaluation and optimisation (hyperparameter tuning, cross-validation) •  

Other Requirements

About the role HCL Technologies Malaysia SDN BHD is seeking a motivated and talented Senior Data Scientist to join our team in Kuala Lumpur. This full-time position offers the opportunity to work on cutting-edge projects and collaborate with a dynamic team of professionals. What you'll be doing As part of IT Innovation projects, you will join the AI Factory/Innovation team as a Senior Data Scientist with a dual strategic role: technology watch and AI model development. Mission 1 – Technology watch and feasibility: You will be the technical reference for new AI/ML approaches (LLMs, new architectures, emerging techniques). You will assess the technical feasibility of business use cases, benchmark market solutions (vendors, open-source), and deliver quick POCs (2–3 days) to validate hypotheses before major investment. Mission 2 – AI model development: You will design and develop ML/DL models for selected use cases, from algorithm selection to final optimisation. You will build rapid prototypes (POCs in 2–4 weeks) and support a junior Data Scientist in developing their skills. As a vibe coding expert, you use generative AI tools (GitHub Copilot, Cursor, Claude, ChatGPT) to accelerate data exploration, model prototyping, analysis code generation and documentation, while maintaining a critical mindset regarding the results. You will work in an agile mode, closely with the Products & Innovation business teams, AI developers, architects and other Data Scientists. Targeted profile : Senior Data Scientist with banking/finance experience, expert in ML/DL and proficient in vibe coding, able to quickly assess the technical feasibility of AI use cases, develop POCs, and stay at the forefront of technological advances. Technology watch and feasibility: •     Weekly technology watch on AI advances (papers, new approaches, tools) •    Rapid technical feasibility assessments of business use cases (2–3 days max) •    Benchmark of market solutions (vendors vs open-source) with decision matrix •    Quick POCs to validate hypotheses before major investment •    Clear and actionable technical recommendations for decision-makers •    Participation in business workshops to understand needs AI model development: •    Design and development of ML/DL models for priority use cases •    Justified choice of algorithms and technical approaches (baseline, state-of-the-art) •    Feature engineering and model optimisation (performance, robustness) •    Rapid prototyping using vibe coding (POC in 2–4 weeks) •    Rigorous validation of models (metrics, robustness, bias) •    Comprehensive technical documentation (notebooks, methodology, results) •    Collaboration with AI developers for industrialisation Mentoring and knowledge sharing: •    Support to the junior Data Scientist (pair programming, code reviews) •    Knowledge transfer on advanced techniques and best practices •    Sharing of technology watch findings with the team (tech talks, documentation) •    Contribution to the library of prompts and vibe coding techniques •    Facilitation of technical workshops and feedback sessions What we're looking for •     Bachelor's or Master degree in information technology or equivalent •      •    At least 7 years of experience in Data Science / Machine Learning •    Proven experience in the banking/finance sector (understanding of business challenges) •    Demonstrated experience in vibe coding with productive use of AI tools for rapid prototyping •    Expertise in ML/DL: supervised learning, unsupervised learning, deep learning, NLP, time series •    Proficiency in Python frameworks: scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM •    In-depth knowledge of LLMs and modern techniques (fine-tuning, RAG, prompt engineering, agents) •    Expertise in feature engineering and variable selection •    Strong skills in exploratory data analysis and statistics •    Experience in model evaluation and optimisation (hyperparameter tuning, cross-validation) •