{"id":2669712,"url":"https://alion.io/job/ntt-data-data-scientist-enterprise-ai-solutions","title":"Data Scientist – Enterprise AI Solutions","company":{"id":50348,"name":"NTT DATA","domain":"nttdata.com","url":"https://alion.io/company/ntt-data","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"B","score":75,"open_postings":30,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Petaling Jaya, Malaysia"],"countries":["MY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":14000,"max_usd":38000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":865},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"AI Agents","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Computer Vision","optional":true},{"name":"Databricks","optional":true},{"name":"Docker","optional":true},{"name":"Embeddings","optional":true},{"name":"Explainable AI","optional":true},{"name":"Microsoft Fabric","optional":true},{"name":"MLFlow","optional":true},{"name":"NLP","optional":true},{"name":"NumPy","optional":true},{"name":"Pandas","optional":true},{"name":"PyTorch","optional":true},{"name":"Recommender Systems","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Semantic Search","optional":true},{"name":"Semantic Search","optional":true},{"name":"Snowflake","optional":true},{"name":"TensorFlow","optional":true},{"name":"Time Series Forecasting","optional":true}],"status":"live","first_seen_at":"2026-10-07T00:00:00Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-17T06:37:06Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"Make an impact with NTT DATA\nJoin 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.\nYour day at NTT DATA\nThe Data Scientist will design, develop, and deploy machine learning and AI solutions that solve real business challenges across banking, healthcare, and other industries.\nYou 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.\n Responsibilities\nDesign, develop, train, and evaluate machine learning models for predictive analytics and business intelligence.\nBuild and optimise classification, regression, clustering, recommendation, forecasting, anomaly detection, and other predictive models.\nAnalyse structured and unstructured datasets to uncover business insights and opportunities.\nPrepare, clean, transform, and engineer datasets for machine learning applications.\nDevelop, validate, and monitor machine learning models throughout their lifecycle.\nBuild and optimise Retrieval-Augmented Generation (RAG) pipelines and Generative AI solutions where applicable.\nEvaluate Large Language Models (LLMs) and improve AI solution performance through prompt engineering, retrieval optimisation, and model evaluation.\nDevelop AI and machine learning pipelines using enterprise AI platforms.\nWork closely with Software Engineers to deploy AI models into production applications.\nResearch emerging AI and machine learning technologies and recommend practical solutions for customer use cases.\nDocument methodologies, experiments, and technical findings to support knowledge sharing and continuous improvement.\nRequired Qualifications & Experience\nBachelor's Degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related discipline.\nMinimum 3 years of experience in Data Science, Machine Learning, or Artificial Intelligence.\nStrong proficiency in Python for data science and machine learning.\nSolid understanding of supervised and unsupervised machine learning algorithms.\nExperience building predictive models using real-world datasets.\nExperience with feature engineering, model training, validation, and optimisation.\nStrong knowledge of statistics, probability, and data analysis techniques.\nExperience with SQL and data querying.\nExperience using Git and collaborative development workflows.\nStrong analytical thinking and problem-solving skills.\nExcellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.\nPreferred Qualifications\nExperience in one or more of the following areas is highly desirable.\nMachine Learning & Data Science\nPredictive Analytics\nClassification, Regression, Clustering, Forecasting, Recommendation Systems\nTime Series Analysis\nFeature Engineering\nModel Evaluation and Optimisation\nStatistical Modelling\nNatural Language Processing (NLP)\nComputer Vision\nExplainable AI (XAI)\nAI & Generative AI\nLarge Language Models (LLMs)\nRetrieval-Augmented Generation (RAG)\nAI Agents and Agentic Workflows\nPrompt Engineering\nAI Evaluation Frameworks\nEmbeddings and Semantic Search\nVector Databases\nAI & Data Platforms\nDatabricks\nDataiku\nSnowflake\nMicrosoft Fabric\nAzure Machine Learning\nAWS SageMaker\nMLflow\nMLOps pipelines\nModel deployment and monitoring\nProgramming & Cloud\nScikit-learn\nTensorFlow or PyTorch\nPandas and NumPy\nDocker\nAzure or AWS\nCI/CD for machine learning solutions\nWorkplace type:\nAbout NTT DATA\nNTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune\nGlobal 100. We are committed to accelerating client success and positively impacting society through\nresponsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with\nunmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and\napplication services. Our consulting and industry solutions help organizations and society move\nconfidently and sustainably into the digital future. As a Global Top Employer, we have experts in more\nthan 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as\nestablished and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each\nyear in R&D.\nEqual Opportunity Employer\nNTT 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.\nThird parties fraudulently posing as NTT DATA recruiters\nNTT 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. 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