Senior Data Scientist

Overview

Role Overview

Key Responsibilities

• 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

Requirements

• 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, 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 at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.*
• MultiBank Group is an equal opportunity employer.
• We welcome applications from candidates of all backgrounds and do not discriminate on the basis of nationality, gender, age, religion, or disability.