Data Science Manager

We are seeking an experienced Data Science leader to manage a team of exceptional Data Scientists and ML Engineers building next-generation AI solutions for financial markets.

The successful candidate will have a consistent track record of leading technical teams, scaling AI initiatives from concept to production, and fostering a culture of innovation, collaboration, and continuous improvement.

Responsibilities:

• Lead the design, development, evaluation, and deployment of production-grade AI and Machine Learning solutions.
• Drive innovation in Generative AI, Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), Deep Learning, and Transformer-based architectures.
• Define the technical vision for AI products, ensuring solutions are scalable, secure, maintainable, and aligned with business objectives.
• Provide deep expertise in model development, experimentation, optimization, evaluation, and production deployment.
• Establish standard methodologies for LLM evaluation, model benchmarking, AI quality measurement, and performance assessment.
• Evaluate emerging AI technologies, foundation models, and third-party solutions to find opportunities for innovation and business value.
• Guide architectural decisions across AI platforms, model-serving infrastructure, data pipelines, and MLOps/LLMOps capabilities.
• Partner closely with Engineering teams to productionize AI solutions and drive operational excellence.
• Build, mentor, and lead high-performing teams of Data Scientists and AI/ML practitioners.
• Set clear goals, drive accountability, and support career growth and development.
• Lead performance management, coaching, feedback, and talent development activities.
• Foster a culture of innovation, collaboration, ownership, and continuous learning.
• Drive hiring, onboarding, succession planning, and team growth initiatives.
• Accelerate technical excellence through mentoring, technical reviews, and knowledge sharing.

Requirements:

• Proven track record of building, leading, and developing high-performing teams of Data Scientists, ML Engineers, and AI practitioners.
• Demonstrated success delivering large-scale AI initiatives from ideation to production with measurable business impact.
• Strong coaching, mentoring, performance management, and talent development capabilities.
• Experience leading multiple concurrent programs, balancing priorities, resources, and customer expectations.
• Exceptional leadership, communication, and influencing skills with experience engaging senior leadership and executive collaborators.
• Extensive experience designing, building, and deploying production-grade AI and Machine Learning solutions at scale.
• Deep expertise in LLMs, Generative AI, RAG, Agentic AI, Deep Learning, Neural Networks, and Transformer architectures.
• Hands-on experience with LLM evaluation, benchmark design, model validation, prompt engineering, guardrails, and AI quality assessment.
• Good foundation in statistics, probability, optimization, experimentation, and applied machine learning.
• Advanced proficiency in Python and modern AI frameworks, including PyTorch, TensorFlow, Scikit-Learn, Hugging Face, LangChain, Semantic Kernel, and related ecosystems.
• Experience building and scaling enterprise AI platforms, ML infrastructure, and intelligent applications serving thousands of users.
• Strong understanding of model observability, monitoring, evaluation frameworks, experimentation, reliability, and operational perfection.
• Expertise in cloud-native AI development using Azure AI Foundry, Azure Machine Learning, Azure OpenAI, Azure AI Search, AWS AI Services, and modern cloud architectures.
• Experience implementing MLOps and LLMOps practices, including CI/CD, model lifecycle management, governance, and production operations at scale.

Benefits:

• Lead the development of next-generation AI products, demonstrating large-scale datasets, advanced AI models, and modern technologies to solve complex customer challenges.
• Shape AI strategy, influence product direction, and build capabilities that deliver dynamic outcomes for customers worldwide.
• Work at the forefront of Generative AI, LLMs, Agentic AI, Analytics, and Intelligent Search, helping define the future of AI innovation in financial markets.
• Accelerate your leadership and technical career through continuous learning, innovation, and exposure to large-scale AI initiatives.