Data Scientist – Enterprise AI Solutions

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.

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

• 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

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.