AI Business Analyst, AI & Data, Defence and Security

Connect to your Industry

Do you want to be at the heart of some of the biggest and most ambitious programmes undertaken to keep our country safe?

We are proud of the impact we have with our Defence & Security clients, the strength of our relationships, and the variety of our skills and expertise that we bring to help them achieve their mission.

We’re growing our teams across all of Technology and Transformation. If you are cleared to DV level, and want to grow your career in this sector, we are very keen to hear from you.

Connect to your career at Deloitte

Deloitte drives progress. Using our vast range of expertise, we help our clients' become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more.

What brings us all together at Deloitte? It’s how we approach the thousands of decisions we make every day. How we behave, our beliefs and our attitudes. In other words: our values. Whatever we do, wherever we are in the world, we lead the way , serve with integrity , take care of each other , foster inclusion , and collaborate for measurable impact . These five shared values lead every decision we make and action we take, guiding us to deliver impact how and where it matters most.

Connect to your opportunity

We are seeking committed new talent to join our multidisciplinary Data Science and Machine Learning team, with a focus on our clients in the Defence and Security sector. Our goal is to work together with our clients to drive innovation and insight from their data, using cutting edge data, analytics, and AI techniques. Your primary responsibility is to make data valuable for our clients. This will involve working with key stakeholders to identify opportunities and requirements for data and AI projects, helping apply structured data analysis, data science, and machine learning techniques to enable actionable business insights, and promoting user adoption of the developed data tools and products.

In your role, you will have responsibility for deliverables and client stakeholder relationships and will be delivering solutions for our clients using agile methodologies. You will:

• Research and develop innovative solutions that deliver real-world impact
• Pioneer implementation of new techniques and technologies
• Participate in all phases of the lifecycle from capturing user needs and developing prototypes to scaling and managing live services
• Help apply data science, machine learning and AI techniques creatively to solve complex problems
• Be responsible for the high-quality delivery of projects
• Shape new propositions and support winning new projects
• Support continual learning and development in the team
• Develop deep understanding of the Defence and Security sector and the context for AI solutions and services to be successful

All applicants must hold UK security clearance to Developed Vetting level,

We are looking for candidates with both technical and business focused skills and experience, who can articulate the outcomes and value of their work.

Essential skills and experience:

• Experience in identifying, analysing, prioritising and validating business and user requirements for data and data science products and services
• Experience in conducting options analyses, feasibility assessments, impact assessments, and value estimations that contribute to business case development
• Experience in identifying and comparing the best processes or delivery methods to deliver data and data science capabilities, including measuring and evaluating outcomes
• Hands-on experience of helping apply data science or machine learning in Defence/Security, wider public sector, or in academia
• Strong communication skills, including preparing accessible, engaging and impactful reports and presentations and conveying complex issues to diverse audiences
• Ability to effectively communicate complex business problems with technical and non-technical stakeholders
• Building productive relationships with colleagues and clients
• Evidence of contribution to practice development, including developing new propositions, mentoring colleagues and supporting bid work

It is desirable to have demonstrable experience with a few of the following:

• Experience working with limited direction to complete tasks and create defined deliverables linked to a project
• Understanding of how to apply data and data science techniques for data analysis
• An understanding of mathematics, statistics, and probability
• Knowledge of data visualisation tools and ability to create dashboards and reports
• Knowledge of the machine learning lifecycle, from prototyping state-of-the-art to scaling and managing for enterprise use
• Understanding of key considerations for Ethical and Responsible data and AI, and experience applying them