Senior Data Scientist

About the Job:
Welcome to the company, a global financial pioneer established in 2005 in California, now headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs. Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$ 35 billion. As a heavily regulated institution with oversight from 18+ financial regulators across 5 continents, and recipient of over 80 financial awards, the company is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.

We are seeking a Senior Data Scientist to join our AI and Machine Learning team. The role sits at the intersection of machine learning, large language models, and agentic AI systems, focusing on delivering production-grade intelligent solutions within a fintech environment. The successful candidate will contribute to AI strategy, lead end-to-end model development, and work closely with cross-functional teams across data engineering, software engineering, and business functions.

Key Responsibilities:

• Design, develop, and evaluate data-driven algorithms across classification, regression, segmentation, and anomaly detection, applying both classical and deep learning approaches.
• Prototype and assess LLM-based and multimodal systems for document understanding, knowledge extraction, information retrieval, and workflow automation, including fine-tuning, RAG pipelines, and domain adaptation.
• Design and implement agentic AI systems including task-oriented agents, workflow orchestrators, tool-using agents, and autonomous reasoning frameworks.
• Own the full machine learning lifecycle from data preparation through model training, deployment, and ongoing production maintenance.
• Integrate AI-enabled products into existing systems in close collaboration with data engineers and software engineers.
• Establish monitoring frameworks to track model performance post-deployment, identify drift and data quality issues, and drive continuous improvement.
• Stay current with advances in AI research, contribute to internal knowledge sharing, and mentor junior data scientists.

Requirements:

• 5 to 10 years of hands-on experience in machine learning and deep learning applied to real-world, production-grade problems.
• Proven track record of developing, deploying, and scaling end-to-end ML pipelines in enterprise or industrial contexts.
• Hands-on experience building and deploying LLM applications including fine-tuning, RAG systems, and multimodal extensions.
• Experience designing and implementing agentic AI systems or autonomous reasoning frameworks.
• Strong foundation in applied mathematics, probability, and statistics underlying modern ML and DL methods.
• Advanced Python programming skills with a focus on clean, production-ready code.
• Deep knowledge of ML algorithms and DL architectures including CNNs, Transformers, Diffusion models, and Graph Neural Networks.
• Proficiency in prompt engineering, evaluation frameworks, and structured output design for LLM-based systems.
• Experience in the fintech sector is a strong advantage.
• Bachelor's, Master's, or PhD in Computer Science, Applied Mathematics, Statistics, or a related field; strong candidates with equivalent industry experience will be considered.

Technical Stack:

• ML Frameworks: PyTorch, TensorFlow, Scikit-learn, XGBoost
• LLM and Agentic Tooling: LangChain, LlamaIndex, Hugging Face, OpenAI and Anthropic APIs, LangGraph, AutoGen, CrewAI
• MLOps and Development: ClearML, MLflow, Git, Docker, CI/CD pipelines, PyCharm, Jupyter

Why Join Us?

• Work with one of the world’s leading financial derivatives institutions.
• Competitive salary plus performance-based incentives.
• Access to a dynamic, international, and fast-growing environment.
• Strong opportunities for career progression within a global financial group.
• Be part of a business committed to innovation, excellence, and long-term growth.
• Become part of our international community dedicated to excellence, innovation, and shaping the future of finance.

Equal Opportunity Employer:
The company welcomes applications from candidates of all backgrounds and does not discriminate based on nationality, gender, age, religion, or disability.