Consultant - Manager, Data Science and Machine Learning, AI & Data, Defence & Security

• 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.
• 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.

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:

• Hands-on experience of applying data science or machine learning in Defence/Security, wider public sector, or in academia
• Understanding of a range of machine learning architectures and models (e.g. Transformers, CNNs, Generative AI) and understand their applicability to client use cases
• Strong communication skills, including preparing engaging and impactful reports and presentations and conveying complex issues to diverse audiences
• 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 applying state-of-the-art techniques to derive insights from text, audio, imagery or video content
• Experience with Data Science and Machine Learning services and toolkits from Cloud providers (AWS, Azure, GCP) or equivalent
• Practical experience with Python and good practice tools and processes for developing high quality code
• Familiarity with common Python libraries for data management, statistical analysis, machine learning. visualisation, interactive web front-ends
• Experience with popular machine learning frameworks such as TensorFlow and PyTorch
• Strong understanding of statistics and probability
• Strong knowledge of the machine learning lifecycle, from prototyping state-of-the-art to scaling and managing for enterprise use
• Experience with one or more common workflow / pipelining frameworks (Kubeflow, MLFlow, Argo or equivalents)
• Understanding of key considerations for Ethical and Responsible AI and experience applying them

Deloitte drives progress. Our firms around the world help our clients become market leaders wherever they compete. Deloitte invests in outstanding people with diverse talents and backgrounds, empowering them to achieve more than they can elsewhere. Our work combines consulting with action and integrity. We believe that when our clients and society are stronger, so are we.