Data Scientist - Machine Learning, AI, Python in London

You will join NTT DATA UK's Data Practice, a multi-disciplinary team delivering enterprise-scale data platforms, analytics and data-led transformation for clients. As part of the growing Data Science capability within the Data Practice, you will work on Machine Learning, Predictive Analytics and Applied AI use cases that help clients move beyond traditional reporting towards evidence-led, AI-enabled decision making. You will work alongside data engineers, data architects, platform specialists and consultants across Snowflake, Databricks and Microsoft Fabric to develop practical, production-ready machine learning solutions. 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. 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. 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. Machine Learning & Advanced Analytics 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. Perform exploratory data analysis, feature engineering, model training, validation and model evaluation. Build reusable notebooks, scripts and pipelines that support repeatable machine learning delivery. Support monitoring and continuous improvement of models used in pilot or production environments. Support proof-of-concepts, project delivery, estimates, solution options and technical documentation where required. Work with Data Engineering and Architecture teams to access, prepare and validate data for machine learning workloads. Use platforms such as Snowflake, Databricks and Microsoft Fabric where appropriate for data preparation, experimentation and deployment support. Follow good engineering practices for version control, testing, documentation and reproducibility. Contribute to MLOps ways of working, including model versioning, deployment handover and performance monitoring. Consider model explainability, data quality, bias, privacy and responsible AI implications where relevant. 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. ~ 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. ~ Exposure to pilot or production deployment of machine learning models. Good understanding of MLOps concepts such as versioning, reproducibility, monitoring and deployment handover. Experience with at least one modern cloud data or analytics platform, such as Snowflake, Databricks, Microsoft Fabric, Azure, AWS or GCP. MSc or equivalent experience in Data Science, Statistics, Mathematics, Computer Science, Artificial Intelligence, Physics, Engineering or a related quantitative discipline. Experience with Spark or distributed data processing frameworks. Experience preparing data pipelines or analytical datasets to support machine learning workloads. Awareness of data engineering, data architecture, data governance and enterprise data platform concepts. NTT DATA UK&I is an ambitious business, and we want our people to be ambitious too: in your outlook, attitude and career goals. Building on our amazing heritage, we are embracing future opportunities with positivity, energy and commitment. We are developing programmes and initiatives to help our people to feel encouraged, appreciated and valued: we want you to feel like you belong here. Curiosity fuels us, ambition drives us and innovation is how we push boundaries to shape the future. We are also proud to share that we have a range of Inclusion Networks such as: the Women's Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network and the Parent Network. For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options. For more information on NTT DATA UK & Ireland please click here: NTT DATA We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a Disability Confident Committed Employer - we want to see every candidate performing at their best throughout the job application and interview process, if you require any reasonable adjustments during the recruitment process, please let us know and we look forward to hearing from you.