Business Analyst (Data Science) - Tech Consultancy

Salary: £95,000 - 130,000 per year

Requirements:

• We require all applicants to hold UK security clearance to Developed Vetting (DV) 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.
• 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 helping apply data science or machine learning in Defence/Security, the wider public sector, or academia.
• Strong communication skills, including preparing accessible, engaging and impactful reports and presentations and conveying complex issues to diverse audiences.
• Ability to communicate complex business problems effectively with technical and non-technical stakeholders.
• Experience building productive relationships with colleagues and clients.
• Evidence of contribution to practice development, including developing new propositions, mentoring colleagues and supporting bid work.
• Desirable: demonstrable experience working with limited direction to complete tasks and create defined deliverables linked to a project.
• Desirable: understanding of how to apply data and data science techniques for data analysis.
• Desirable: understanding of mathematics, statistics, and probability.
• Desirable: knowledge of data visualisation tools and ability to create dashboards and reports.
• Desirable: knowledge of the machine learning lifecycle, from prototyping state-of-the-art models to scaling and managing for enterprise use.
• Desirable: understanding of key considerations for ethical and responsible data and AI, and experience applying them.

Responsibilities:

• Join our multidisciplinary Data Science and Machine Learning team supporting clients in the Defence and Security sector.
• Work with key stakeholders to identify opportunities and requirements for data and AI projects.
• Help apply structured data analysis, data science, and machine learning techniques to enable actionable business insights.
• Promote user adoption of developed data tools and products.
• Take responsibility for deliverables and client stakeholder relationships.
• Deliver solutions for our clients using agile methodologies.
• Research and develop innovative solutions that deliver real-world impact.
• Pioneer the 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 a deep understanding of the Defence and Security sector and the context for successful AI solutions and services.

Technologies:

• AI
• Support
• Machine Learning
• Security

More:

We are Deloitte, working across Technology and Transformation to help our clients solve some of the biggest technology and transformation challenges. We support Defence and Security clients with innovative data, analytics, and AI solutions, and we are growing our teams across Bristol, London, and Manchester. This role offers hybrid working, with the opportunity to work from our local office, client sites, virtual collaboration spaces, and remotely depending on role requirements. We are committed to inclusion, integrity, collaboration, and measurable impact, and we invest in world-class development, wellbeing, and a culture where everyone can belong and grow.

last updated 34 week of 2026