Consultant/Manager - Data Science And Machine Learning - Defence & Security

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

Location: Bristol

Salary: up to £87,000 + Clearance Bonus + Benefits

Clearance: Applicants must currently hold the highest level of UK Government security clearance DV

Connect to your opportunity  

We are seeking committed new talent to join our multidisciplinary Data Science and Machine Learning team within DSSV (Data Science, Simulation and Visualisation), 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 Science and Machine Learning techniques alongside Digital Transformation. 

As a Consultant in our team, you will: 

• Apply Data Science and Machine Learning techniques creatively to solve complex problems 
• Research and develop innovative solutions 
• Stay abreast in new Machine Learning techniques and data technologies 
• Participate in all phases of the Data Science lifecycle from PoC to fully tested productionised solutions 
• Prepare technical documentation 
• Be responsible for the high-quality delivery of key parts of our engagements working with our senior data scientists 
• Suggest practical solutions to clients and work to implement these solutions as a part of larger project teams 
• Assisting in the crafting of responses to client proposal requests and in pitching Data Science projects to client 
• Develop deep understanding of the Defence and Security sector and the opportunities for transformation from AI & Data 

Connect to your skills and professional experience 

All applicants must hold a DV (Developed Vetting) clearance to apply. 

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: 

• 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 and their use (Transformers, CNNs, regression, vector embeddings)  
• Structured approach to problem solving 
• Ability to convey complex and highly technical issues to diverse audiences 
• Ability to manage client relationships 
• Strong communication skills 
• Adaptability of skill set 
• Contribute to practice development, including research and developing new propositions and material 

It would also be desirable if you have demonstrable experience with a few of the following: 

• Experience with Data Science and Machine Learning services and toolkits from Cloud providers (AWS, Azure, GCP)  
• Practical experience with Python and the Jupyter ecosystem (Lab, Notebook) and their libraries, norms and tooling 
• 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 
• Experience using state-of-the-art techniques for Natural Language Processing applications 
• Experience using state-of-the-art techniques for Computer Vision applications 
• Strong understanding of basic probability concepts such as probability distribution, basic expectation and variance, simple conditional probabilities, Bayes' theorem, combinatorics 
• Strong knowledge in the Machine Learning lifecycle, and in ways to facilitate collaboration and productivity in each of its phases 
• Experience with one or more common workflow / pipelining frameworks (Kubeflow, MLFlow, Argo or equivalents) 
• Understanding of key considerations for Ethical AI and experience applying them 

This is a business-critical position and we are looking to arrange interviews as soon as possible. To be considered please apply directly or contact me via email at lewis.thompson@searchability.com