# Data Science Manager **Company**: London Stock Exchange Group (LSEG) **Location**: Edinburgh **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Category**: Data Science **Industry**: Finance **Apply**: https://lseg.wd3.myworkdayjobs.com/en-US/Careers/job/GBR-London-10-Paternoster-Square/Data-Science-Manager_R0121775-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_dbd21d11-bab ## Description 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. ## Skills ### Required - Generative AI - Large Language Models (LLMs) - Agentic AI - Retrieval-Augmented Generation (RAG) - Deep Learning - Transformer architectures - Python - PyTorch - TensorFlow - Scikit-Learn - Hugging Face - LangChain - Semantic Kernel - Azure AI Foundry - Azure Machine Learning - Azure OpenAI - Azure AI Search - AWS AI Services ### Nice to have - Experience leading teams building AI products for financial services, capital markets, research, analytics, or other data-intensive domains - Experience developing multi-agent systems, autonomous workflows, copilots, and intelligent AI assistants - Knowledge of reinforcement learning, fine-tuning, synthetic data generation, model compression, and advanced optimization techniques - Experience with Knowledge Graphs, vector databases, semantic search, retrieval systems, and Graph RAG architectures - Strong understanding of Responsible AI, model governance, AI safety, privacy, regulatory compliance, and risk management frameworks - Experience with DevOps, CI/CD, Kubernetes, Infrastructure as Code, containerization, and distributed computing platforms --- Source: [Apply at lseg.wd3.myworkdayjobs.com](https://lseg.wd3.myworkdayjobs.com/en-US/Careers/job/GBR-London-10-Paternoster-Square/Data-Science-Manager_R0121775-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)