Data Scientist Senior Advisor

Role Overview

Join NTT DATA UK’s Data Practice at India offshore, a multi-disciplinary team delivering enterprise-scale data platforms, analytics, and data-led transformation for clients. As a Data Scientist, you will work on Machine Learning, Predictive Analytics, and Applied AI use cases to help clients move beyond traditional reporting towards evidence-led, AI-enabled decision making.

What You Will Do

Develop machine learning models for forecasting, classification, recommendation, optimisation, clustering, and anomaly detection. Perform exploratory data analysis, feature engineering, model training, validation, and model evaluation. Communicate insights, model outputs, and recommendations in a clear, practical, and business-relevant way.

Why It Might Be a Fit

We are looking for a Data Scientist with a solid background in Machine Learning, Statistics, and Predictive Analytics to join NTT DATA UK’s Data Practice at India offshore. You will contribute hands-on across the model development lifecycle, from data understanding and feature engineering through to model training, evaluation, deployment support, and ongoing improvement.

Requirements

• 6-10 years of commercial experience in Data Science, Machine Learning, or Advanced Analytics roles
• Strong hands-on Python experience for data analysis, feature engineering, and model development
• Strong SQL skills and experience working with complex or sizeable datasets
• Solid theoretical and practical understanding of supervised learning, unsupervised learning, statistical modelling, feature engineering, validation, model evaluation, and optimisation
• Hands-on experience with Python-based machine learning libraries, especially Scikit-Learn and at least one of XGBoost, LightGBM, TensorFlow, or PyTorch
• Experience developing models beyond exploratory analysis into reusable, documented, and testable assets
• Strong understanding of model evaluation, including appropriate metrics, validation approaches, overfitting, data leakage, baseline comparison, and business impact assessment
• Ability to explain model assumptions, limitations, drivers, and risks, including awareness of model explainability, bias, data quality, and responsible AI considerations
• Clear communication skills and the ability to work collaboratively in mixed technical and business teams

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Paid holidays
• Retirement plan
• Learning budget
• Parental leave
• Wellness program
• Visa sponsorship available
• Relocation assistance available

Tagged as: Data Analysis, Forecasting, Python, SQL