Senior Data Scientist
Build models that predict, recommend and automate, and bring them into production with our engineering team — a 12-month engagement.
About the role
You will develop machine-learning and statistical models for client products and for Omneth AI, from exploration to deployment.
This engagement covers a reporting suite for a finance team, over 12 months.
Engagement & compensation
This is a project-based engagement of 12 months, remote, for someone based in Dubai, United Arab Emirates. The total project fee is AED 396,000–504,000, paid in monthly instalments of AED 33,000–42,000, depending on experience and final scope.
- Country
- United Arab Emirates
- City
- Dubai
- Work mode
- Remote
- Contract
- Project-based
- Duration
- 12 months
- Project fee
- AED 396,000–504,000 for 12 months
- Paid monthly
- AED 33,000–42,000 per month
- Languages
- English
What you will do
- Frame business problems as modelling problems
- Build, evaluate and iterate on models
- Deploy models with engineering and monitor them in production
- Work with language models and retrieval systems
- Explain results and limitations to stakeholders
- Mentor colleagues and help improve how the team works
- Report progress against agreed milestones and hand over clean, documented work
What we look for
- 5+ years of professional experience in data science or machine learning
- Strong Python and the scientific stack
- Solid statistics and machine-learning fundamentals
- Experience bringing a model into production
- Excellent written and spoken English
- Based in or near Dubai
Nice to have
- Experience with LLMs, embeddings and retrieval
- MLOps tools
- Time-series forecasting
What we offer
- A defined scope, clear milestones and a project fee paid monthly
- Work for clients around the world in a fast-growing company
- A small team where your contribution is visible
- AI tools in your daily work
- Flexible hours within your time zone
Tools & skills
How to apply
Upload your CV and your details are filled in automatically. You then answer a few questions about the role and your experience. We respond to every application within two weeks.