Data Scientist; AI National Security - eSC​/eDV

At IBM Consulting UK Future Now, you’ll build a career at the forefront of hybrid cloud and AI, working with leading clients across the public and private sectors.

You’ll collaborate with top industry professionals, gain hands on experience with cutting edge technologies, and deliver solutions that create real business impact. From day one, you’ll work on meaningful, high profile programmes that stretch your skills and accelerate your growth.

We invest heavily in you—supporting continuous learning, in demand skills development, and long term career progression.

You’ll thrive in a flexible, inclusive environment that values curiosity, encourages reinvention, and recognises what makes you unique.

• Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme
• More traditional benefits, such as 25 days holiday (in addition to public holidays), private medical, dental & optical cover, online shopping discounts, an Employee Assistance Program, life assurance and a group pension plan through salary sacrifice.

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 ope rationalise 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.

• 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.

Bachelor's Degree

We're looking for experience across several of the following areas:

• Strong proficiency in Python and modern Data Science tooling including Pandas, Num Py, Scikit-learn, PyTorch, Tensor Flow or similar libraries.
• Commercial experience…