DATA SCIENTIST

Duncan & Ross Consulting; Abu Dhabi; On-site; AED 320,000 - 520,000; Full time

Job summary

Duncan & Ross Consulting seeks a Data/AI Scientist to design, develop, and industrialize AI/ML solutions for defense, civil aviation, and aerospace. You will translate operational needs into tailored algorithms, ensuring a successful Build & Run deployment within an agile team.

Required 5–7 years in AI/ML engineering, strong Python expertise, and hands-on MLOps. Onsite in Abu Dhabi with immediate start; English fluency essential; French/Arabic preferred.

Qualifications

• Master's Degree in Computer Science, Data Science, Artificial Intelligence, or Engineering.
• 5–7 years minimum in AI/ML engineering.
• Experience deploying ML solutions to production.
• Strong client-facing workshop experience.
• Fluency in English; French and/or Arabic preferred.
• Onsite in Abu Dhabi, UAE; immediate start.

Responsibilities

• Ideate with stakeholders and clients to identify needs and design custom AI solutions.
• Analyze complex datasets to select, develop, test, and validate ML/DL models for real‑world use cases.
• Implement end-to-end ML pipelines from data collection to production deployment (MLOps).
• Communicate model objectives, performance, and business value to technical and non‑technical stakeholders.
• Share insights and best practices across the AI Center of Excellence.
• Prepare technical documentation and ensure cybersecurity, data sovereignty, and ethics standards.

Skills

AI/ML engineering

End-to-end ML deployment

Data architecture design

Client-facing workshops

MLOps

Python

Education

Master's Degree in CS/DS/AI/Engineering

Tools

MLflow

GitLab

Docker

CI/CD tools

Jenkins

Artifactory

SonarQube

Jira

Job description

We are looking for a motivated Data / AI Scientist to join our project. In this role, you will play a key part in designing, developing, and industrializing advanced AI and Machine Learning solutions for critical systems across defense, civil aviation, and aerospace sectors.

As an active contributor to an agile team, you are expected to be a force of proposal, adaptable to change, and committed to translating operational needs into tailor‑made algorithmic solutions to ensure the successful "Build & Run" deployment of high‑impact AI use cases.

Key Responsibilities

• Participate actively in ideation workshops with internal stakeholders and external clients to identify operational needs and design custom algorithmic AI solutions.
• Rapidly analyze complex datasets to select, develop, test, and validate the most relevant ML/DL models adapted to specific use cases and sensitive data constraints.
• Implement end-to-end Machine Learning pipelines, from data collection and feature engineering to production deployment and monitoring (MLOps).
• Effectively communicate model objectives, performance, and business value to both technical teams and non‑technical decision‑makers.
• Actively share insights, best practices, and technological breakthroughs across the AI Center of Excellence to enrich collective knowledge and support organizational growth.
• Prepare technical documentation and ensure strict adherence to cybersecurity, data sovereignty, and ethical AI standards.

Engineering Skills

• Solid practical experience (5 to 7 years minimum) in AI and Machine Learning engineering.
• Proven track record of deploying end-to-end ML solutions into production, from initial data collection to end‑user deployment.
• Strong ability to design robust algorithmic solutions and data architectures suited for critical systems and real‑time operational constraints.
• Demonstrated experience participating in or leading client‑facing workshops and technical ideation sessions.

Technical Skills

• Advanced knowledge of statistics, Machine Learning, and Deep Learning algorithms.
• Hands‑on experience and understanding of RAG and MCP principles.
• Deep proficiency in Python and mainstream AI/DL frameworks (TensorFlow, PyTorch); exposure to Java, Spark, or Scala is a plus.
• Solid understanding of database technologies and SQL (with exposure to NoSQL systems).
• Practical experience with MLOps tools (MLflow) and modern development environments (GitLab, Docker, CI/CD).
• Familiarity with data security, privacy, and sovereignty constraints in defense or critical infrastructure environments.
• Mandatory hands‑on experience with Jira, as well as Agile, CI/CD, and DevOps tooling (Git, Jenkins, Artifactory, and Sonar).

Soft Skills

• Excellent active listening and communication skills, with the ability to explain complex ML models and convince non‑technical stakeholders.
• Proactive mindset with high autonomy, responsiveness, and strong initiative‑taking capability.
• Strong team spirit and ability to collaborate effectively within cross‑functional agile teams.
• Capacity to analyze complex operational problems and act as a force of proposal.

Qualification

• Master's Degree in Computer Science, Data Science, Artificial Intelligence, or Engineering.
• High fluency in spoken and written English; additional fluency in French and/or Arabic is preferred.
• Experience working in agile project management environments and conducting customer‑facing meetings.

Location: Abu Dhabi, UAE (onsite) | Duration: 3 months | Start: immediate | UAE‑based candidates only | Language: English; French and/or Arabic preferred

Vertical:

Technology