Data Scientist – Enterprise AI Solutions

NTT Communications; Kuala Selangor; On-site; MYR 120,000 - 240,000; Full time

Job summary

NTT DATA is seeking a Data Scientist to design, develop, and deploy ML and AI solutions across industries. You'll work on the full AI lifecycle—from data exploration and feature engineering to predictive modelling, Generative AI, and MLOps.

You will collaborate with Software Engineers, Tech Leads, and Solution Architects to deliver data-driven solutions and measurable business value, applying latest AI and ML techniques in a dynamic, diverse environment.

Qualifications

• Bachelor's degree in a data-related field.
• At least 3 years of experience in Data Science, ML, or AI.
• Strong proficiency in Python for data science and ML.
• Solid understanding of supervised and unsupervised learning.
• Experience with feature engineering, model training, validation, and optimisation.
• Experience with SQL and data querying.
• Experience using Git and collaborative development workflows.
• Excellent communication skills for technical and non-technical stakeholders.

Responsibilities

• Design, develop, train, and evaluate ML models for predictive analytics.
• Build and optimise classification, regression, clustering, forecasting and other models.
• Analyse structured/unstructured data to derive insights.
• Prepare, clean, transform, and engineer datasets for ML applications.
• Develop, validate, and monitor ML models throughout their lifecycle.
• Build RAG pipelines and Generative AI solutions where applicable.
• Evaluate LLMs and improve AI solution performance via prompts and retrieval.

Education

Bachelor's degree in Data Science, Computer Science, AI, Statistics, Mathematics or related field

Tools

Python

SQL

Git

Pandas/NumPy

Scikit-learn

TensorFlow/PyTorch

MLflow

Databricks

Azure AWS

Docker

Job description

Continue to make an impact with a company that is pushing the boundaries of what is possible. At NTT DATA, we are renowned for our technical excellence, leading innovations, and making a difference for our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can continue to grow, belong, and thrive.

Your career here is about believing in yourself and seizing new opportunities and challenges. It’s about expanding your skills and expertise in your current role and preparing yourself for future advancements. That’s why we encourage you to take every opportunity to further your career within our great global team.

Your day at NTT DATA

The Data Scientist will design, develop, and deploy machine learning and AI solutions that solve real business challenges across banking, healthcare, and other industries.

You will work across the full AI lifecycle, from data exploration and feature engineering to predictive modelling, machine learning, Generative AI, and MLOps. Working closely with Software Engineers, Technical Leads, and Solution Architects, you will help transform data into intelligent solutions that deliver measurable business value.

Responsibilities

• Design, develop, train, and evaluate machine learning models for predictive analytics and business intelligence.
• Build and optimise classification, regression, clustering, recommendation, forecasting, anomaly detection, and other predictive models.
• Analyse structured and unstructured datasets to uncover business insights and opportunities.
• Prepare, clean, transform, and engineer datasets for machine learning applications.
• Develop, validate, and monitor machine learning models throughout their lifecycle.
• Build and optimise Retrieval-Augmented Generation (RAG) pipelines and Generative AI solutions where applicable.
• Evaluate Large Language Models (LLMs) and improve AI solution performance through prompt engineering, retrieval optimisation, and model evaluation.
• Develop AI and machine learning pipelines using enterprise AI platforms.
• Work closely with Software Engineers to deploy AI models into production applications.
• Research emerging AI and machine learning technologies and recommend practical solutions for customer use cases.
• Document methodologies, experiments, and technical findings to support knowledge sharing and continuous improvement.

Required Qualifications & Experience

• Bachelor's Degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related discipline.
• Minimum 3 years of experience in Data Science, Machine Learning, or Artificial Intelligence.
• Strong proficiency in Python for data science and machine learning.
• Solid understanding of supervised and unsupervised machine learning algorithms.
• Experience building predictive models using real-world datasets.
• Experience with feature engineering, model training, validation, and optimisation.
• Strong knowledge of statistics, probability, and data analysis techniques.
• Experience with SQL and data querying.
• Experience using Git and collaborative development workflows.
• Strong analytical thinking and problem-solving skills.
• Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.

Preferred Qualifications

Experience in one or more of the following areas is highly desirable.

Machine Learning & Data Science

• Predictive Analytics
• Classification, Regression, Clustering, Forecasting, Recommendation Systems
• Time Series Analysis
• Feature Engineering
• Model Evaluation and Optimisation
• Statistical Modelling
• Natural Language Processing (NLP)
• Computer Vision
• Explainable AI (XAI)

AI & Generative AI

• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• AI Agents and Agentic Workflows
• Prompt Engineering
• AI Evaluation Frameworks
• Embeddings and Semantic Search
• Vector Databases

AI & Data Platforms

• Databricks
• Dataiku
• Snowflake
• Microsoft Fabric
• Azure Machine Learning
• AWS SageMaker
• MLflow
• MLOps pipelines
• Model deployment and monitoring

Programming & Cloud

• Scikit-learn
• TensorFlow or PyTorch
• Pandas and NumPy
• Docker
• Azure or AWS
• CI/CD for machine learning solutions

Workplace type:

Equal Opportunity Employer

NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Accelerate your career with us.