Senior Data Scientist

Welcome to Multi Bank Group
, a global financial pioneer established in 2005 in California and now proudly 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, Multi Bank Group 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, computer vision, and large language models, with a focus 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.

• Design, develop, and evaluate data‑driven algorithms across classification, detection, segmentation, regression, and anomaly detection, applying both classical and deep learning approaches. Rapidly prototype solutions and evaluate their performance against business objectives

• Prototype and assess LLM‑based and multimodal systems for document understanding, knowledge extraction, information retrieval, and workflow automation, including fine‑tuning foundation models, building RAG pipelines, and extending models for domain‑specific applications

• Design and implement agentic AI systems including task‑oriented agents, workflow orchestrators, tool‑using agents, and autonomous reasoning frameworks. Translate complex business workflows into reliable, observable, and maintainable AI‑driven pipelines

• Own the full machine learning lifecycle from data collection, preparation, and cleaning through model training, evaluation, deployment, and ongoing production maintenance. Champion best practices in MLOps, versioning, and reproducibility

• Contribute to solution architecture and collaborate closely with data engineers, software engineers, and domain experts to integrate AI‑enabled products into existing systems

• Establish robust monitoring frameworks to evaluate AI solution performance post‑deployment. Proactively identify data quality issues, model drift, and performance degradation, and drive continuous improvement initiatives

• Stay current with advances in AI research, mentor junior data scientists, contribute to internal knowledge sharing, and support the broader AI community of practice within the organization

• 5 to 10 years of hands‑on experience in classification, detection, and segmentation using both classical and deep learning approaches, applied to real‑world, production‑grade problems

• Proven track record of developing, deploying, and scaling end‑to‑end ML pipelines in industrial or enterprise contexts

• Hands‑on experience building and deploying LLM applications including models such as GPT, Llama, Falcon, and Claude, covering fine‑tuning, RAG systems, domain adaptation, and multimodal extensions

• Experience designing and implementing agentic AI systems including task‑oriented agents, workflow orchestrators, or autonomous reasoning frameworks

• Experience collaborating in cross‑functional teams and communicating technical outcomes to non‑technical stakeholders

• 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,…