Data Scientist (AI) | National Security - eSC/eDV Required

At IBM Consulting Future Now, our Artificial Intelligence practice helps clients solve complex business and mission challenges using Data Science, Machine Learning, Generative AI and Large Language Models.

We're looking for experienced Data Scientists (AI) to join our growing Hybrid Cloud & Data service line, working alongside engineers, architects, data specialists and client stakeholders to design, develop and operationalise AI-driven solutions within highly regulated and security-conscious environments.

This is a hands-on consulting role requiring practitioners who can translate business challenges into practical AI solutions whilst balancing innovation, governance, security and measurable outcomes.

Successful candidates will combine strong analytical capability with modern AI engineering practices, helping clients unlock value from traditional Machine Learning, Generative AI, Retrieval-Augmented Generation (RAG), semantic search, agentic workflows and advanced analytics.

Key Responsibilities:

As a Consulting Data Scientist, you will:

• Design, develop and deploy AI and Data Science solutions across multiple client engagements.
• Translate complex and often ambiguous business problems into practical analytical and AI-driven solutions.
• Deliver Generative AI use cases including Retrieval-Augmented Generation (RAG), semantic search, knowledge retrieval, intelligent assistants and agentic workflows.
• Apply machine learning, statistical analysis and predictive modelling techniques to structured and unstructured datasets.
• Conduct exploratory data analysis, feature engineering, model development, evaluation and validation activities.
• Evaluate, fine-tune and optimise AI models to improve performance, reliability, explainability and business value.
• Work closely with Data Engineers, Architects, Product Owners and client stakeholders throughout the delivery lifecycle.
• Support the deployment and operationalisation of AI solutions through cloud platforms, APIs, MLOps practices and modern integration approaches.
• Communicate technical findings and recommendations to both technical and non-technical audiences.
• Contribute to best practices across AI engineering, governance, responsible AI and secure-by-design delivery.
• Support and mentor junior practitioners where appropriate.