We are looking for a skilled and forward-thinking Data Scientist to join our team and help design, build, and deploy intelligent solutions across modern cloud and agent-based ecosystems. This role will focus on developing scalable AI-driven applications, working across data, backend services, and user-facing solutions to support business innovation and decision-making.

The ideal candidate will have strong experience in applied AI and machine learning, with exposure to modern agentic platforms and cloud AI tooling such as Copilot Studio, Azure AI Foundry, Amazon Bedrock, Claude Code, Gemini, and BMAD for building and embedding agents. The environment is technology-flexible, and the team is not limited to a specific programming language, as long as the candidate is comfortable working in modern object-oriented ecosystems.

What you’ll do

• Design, develop, and deploy data science and AI solutions to solve business problems and improve decision-making.
• Build and embed intelligent agents using modern AI platforms and tools.
• Develop and operationalise machine learning, generative AI, and agent-based solutions in enterprise environments.
• Work closely with engineering teams to integrate AI capabilities into backend services and digital platforms.
• Contribute to the design of scalable backend services using a microservices architecture.
• Collaborate with frontend teams where needed to support AI-enabled web applications.
• Translate business requirements into data science models, AI solutions, and production-ready services.
• Participate in solution design, experimentation, testing, and continuous improvement of AI products.
• Ensure solutions are secure, scalable, maintainable, and aligned to architectural standards.
• Support the deployment and optimisation of AI solutions across cloud-native environments.

Technical environment

AI / Agent Tooling
Experience with one or more of the following is advantageous:

• Copilot Studio
• Azure AI Foundry
• Amazon Bedrock
• Claude Code
• Gemini
• BMAD

Backend / Microservices
Experience with one or more of the following:

• Java with Spring Boot
• Python
• Go
• Rust

Frontend

• Angular for web development

Architecture

• Backend services implemented as microservices

Your expertise

• Experience in Data Science, Machine Learning, and applied AI solution delivery.
• Good understanding of LLMs, AI agents, prompt design, and intelligent automation.
• Experience building or supporting AI-enabled applications in a production environment.
• Strong coding ability in at least one modern object-oriented or backend language.
• Experience working in microservices-based architectures.
• Ability to work across technical teams including engineering, architecture, and frontend delivery.
• Understanding of cloud-based AI platforms and modern enterprise solution design.
• Strong problem-solving skills and the ability to convert complex business challenges into practical technical solutions.

Qualifications

• Relevant qualification in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field.
• Relevant AI / cloud / machine learning certifications would be advantageous.

Competencies

• Strong analytical and problem-solving ability.
• Comfortable working in a fast-paced, evolving technical environment.
• Able to work across multiple technologies and adapt to new tools quickly.
• Strong communication and collaboration skills.
• Innovative mindset with a passion for emerging AI technologies.
• Results-driven, curious, and solutions-oriented.