Jobs › Companies › NTT › Data Scientist – Enterprise AI Solutions

Sobre esta vaga de Data Scientist – Enterprise AI Solutions na NTT

NTT · Presencial · Petaling Jaya, Malaysia

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

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:


About NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune

Global 100. We are committed to accelerating client success and positively impacting society through

responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with

unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and

application services. Our consulting and industry solutions help organizations and society move

confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more

than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as

established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each

year in R&D.


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. Join our growing global team and accelerate your career with us. Apply today.


Third parties fraudulently posing as NTT DATA recruiters 

NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.

Pronto para se candidatar à NTT?
Candidatar-se à NTT

Sobre a NTT

Is innovation part of your DNA? Do you want to enable a connected future for people, organizations, and society? Join our growing global NTT family and you’ll be part of the world’s largest ICT company (by revenue). We’ve combined the capabilities of 28 remarkable companies to become one, leading technology services provider. Together, we help our people, clients, and communities do great things with technology to create a more secure and connected future. We employ 40,000 people across 57 countries. By bringing together the world’s best technology companies and emerging innovators, we work together to deliver sustainable outcomes to businesses and the world. Innovation is part of our DNA. W

Ver todas as vagas na NTT →

Vagas semelhantes

Cobre
Senior Data Scientist
Cobre
⚡ Candidate-se cedo LATAM Presencial
● Nova 👁 Vista ✓ Candidatada há 3h
SE
Senior Applied ML Scientist
SentiLink
⚡ Candidate-se cedo United States · local restrito $200,000–$200,000
● Nova 👁 Vista ✓ Candidatada há 3h
SE
Staff Data Scientist, Full Stack
SentiLink
⚡ Candidate-se cedo United States · local restrito $220,000–$220,000
● Nova 👁 Vista ✓ Candidatada há 3h
SE
Senior Data Scientist, Full Stack
SentiLink
⚡ Candidate-se cedo United States · local restrito $200,000–$200,000
● Nova 👁 Vista ✓ Candidatada há 3h
Rad AI
Staff ML Research Scientist
Rad AI
⚡ Candidate-se cedo San Francisco - Onsite Híbrido $190,000–$265,000
● Nova 👁 Vista ✓ Candidatada há 3h
Pika
Research Scientist, Data
Pika
⚡ Candidate-se cedo US remote · local restrito $185,000–$400,000
● Nova 👁 Vista ✓ Candidatada há 3h
Outtake
Founding Applied Data Scientist
Outtake
⚡ Candidate-se cedo New York City Presencial
● Nova 👁 Vista ✓ Candidatada há 3h
NA
Sr. ML Scientist/Engineer, AI Platform
Nightfall AI
⚡ Candidate-se cedo Bengaluru Híbrido
● Nova 👁 Vista ✓ Candidatada há 3h
EL
Research Engineer / Research Scientist, Data Quality & Evaluations
Epsilon Labs, Inc.
⚡ Candidate-se cedo San Francisco, CA Presencial
● Nova 👁 Vista ✓ Candidatada há 3h

Cadastre-se para receber sugestões sob medida com base nas vagas que você abre e nas buscas que você salva.

Mais vagas na NTT

Ver todas as vagas na NTT →

Candidatar-se agora
🤖

Opa — calma aí

A JobsRadar foi feita para pessoas de verdade passando por um momento difícil na busca por emprego — não para requisições automatizadas. Você está clicando rápido demais e agora está temporariamente bloqueado.

Volte mais tarde. Se você está mesmo procurando emprego, estamos com você — apenas aja como um ser humano.

Catch your next role the second it’s posted.

Create a free account and we’ll watch the boards for you — the instant a job matches your search, it lands in your inbox or Telegram. No digging, no refreshing.

Create free account

Free forever · takes 30 seconds · already have one?

Ganhe vantagem na sua busca por emprego.

Entre no nosso canal do Telegram para o que ajuda você a conseguir a vaga — referências salariais, o pulso semanal do mercado e avisos de novos recursos. Sem spam, só sinal.

Entre no canal — é grátis