Role Overview
Join NTT DATA UK’s Data Practice at India offshore as a Data Scientist with a solid background in Machine Learning, Statistics, and Predictive Analytics. Contribute hands-on across the model development lifecycle, from data understanding and feature engineering through to model training, evaluation, deployment support, and ongoing improvement.
What You Will Do
Develop machine learning models for forecasting, classification, recommendation, optimisation, clustering, and anomaly detection. Apply statistical and machine learning techniques to analyse structured and semi-structured datasets.
Why It Might Be a Fit
Experience with Generative / Agentic AI, LLMs, and AI-enabled products is preferred, but the core of this role is strong applied machine learning capability rather than AI tooling alone.
Requirements
- 3-5 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, ideally with exposure to pilot or production environments
- 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
- Competitive salary
- Benefits package
- Opportunities for career growth and development
- Collaborative and inclusive work environment
- Access to a robust ecosystem of innovation centers and established and start-up partners
To apply for this job please visit career8.successfactors.com.

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