Data Science & AI: Data Scientist

Spektrum have a wide range of exciting opportunities in several global locations.

We are always looking to add great new talent to our team and look forward to hearing from you.

Spektrum supports apex purchasers (NATO, UN, EU and National Government and Defence) and their Tier 1 supplier ecosystem with a wide range of specialist services. We provide our clients with professional services, specialised aerospace and defence sales, delivery, and operational subject matter expertise. We are looking for personnel to join our team and support key client projects.

Who we are supporting

Allied Command Transformation (ACT) is NATO’s leading agent for change: driving, facilitating, and advocating the continuous improvement of Alliance capabilities to maintain and enhance the military relevance and effectiveness of the Alliance. The main objectives of ACT are: providing appropriate support to NATO missions and operations; leading NATO military transformation; and improving relationships, interaction and practical cooperation with partners, nations and international organisations. ACT therefore leads Alliance concept development, capability development, training and lessons-learned initiatives and provides unfettered military support to policy development within NATO.

The program 

Capability Development & Management Support (CDMS)

 DCOS Capability Development (CAPDEV) acts as the Supreme Allied Commander Transformation's Director for guidance, direction and coordination of the activities and resources of the Capability Development Directorate.

The Requirements Division will execute all tasks and activities needed to support requirements management for NATO capabilities

The Capability Requirements (CR) Branch will develop the Capability Requirements Brief and recommended courses of action to resolve issues through the life cycle management of requirements using matrixed, cross-functional project-specific Requirements Management teams.

The Requirements Forward Branch (Mons) is responsible for conducting requirements development and management representation and engagement-related functions in Europe.

The Capability Division coordinates the development of capabilities from capability planning through acceptance and then disposal with management entities, NATO Headquarters staff and the NATO Governance Structure

The Capability Forward Branch (Mons) coordinates with ACO, NCIA, NSPA, NATO HQ, territorial Host Nations, and NATO Centres of Excellence (COEs) to support the development of capabilities.

Strategic Plans and Policy (SPP) supports Allied Command Transformation in formalizing military advice to shape future military strategy, political guidance, and other policy documents supporting NATO’s strategic objectives.

Role Duties and Responsibilities

• Contribute to the development and implementation of an enabling data science and AI capability at HQ SACT and across the NATO Enterprise, with a specific focus on scalable data engineering and software systems to support AI initiatives.
• Design, develop, and maintain robust data pipelines and architectures to manage the ingestion, transformation, and processing of structured and unstructured data for large Language Model (LLM)-based applications and other AI systems.
• Lead efforts to optimize data delivery and automate data engineering processes, proposing enhancements to infrastructure to improve scalability, efficiency, and reliability in support of LLM deployments.
• Build API-based infrastructure and frameworks that enable seamless integration of LLMs and ML models with operational systems, ensuring performance, security, and interoperability with NATO environments.
• Support the development, testing, and validation of microservices and containerized applications to operationalize AI/ML capabilities, including deployment of LLM use cases within NATO.
• Implement distributed data storage and processing systems (e.g., cloud-based or hybrid architectures) that align with NATO standards and enable scalable use of LLMs across the enterprise.
• Develop tools and systems to improve data accessibility, enabling data scientists and analysts to efficiently interact with and query data for training, inference, and analytics.
• Coordinate with data scientists, software engineers, and system architects to align data engineering workflows with broader AI/ML objectives, ensuring timely delivery of clean, high-quality data for LLM training and inference.
• Establish mechanisms for real-time data processing and streaming, enabling LLMs to operate effectively in dynamic and responsive applications,