Senior Data Scientist

Job Title: Senior Data Scientist Company: London Stock Exchange Group Job Category: Data Science Roles & Responsibilities: The Emerging Tech Standard Delivery Team drives the adoption of advanced technologies and develops enterprise‑ready solutions for D\&A Operations. In this role, the individual partners with Operations and Technology teams to design data‑driven solutions that deliver clear business and customer value. Role, Responsibilities \& Key Accountabilities: * Own the product vision for an industry‑leading data management framework, covering data acquisition, cleaning, transformation, and related workflows. * Support Lead Data Scientist on end\-to\-end AI/ML lifecycle: problem definition, design, experimentation, deployment, and continuous improvement. * Define an optimized user experience for financial analytics data pipelines, unifying multiple tools and services into an integrated workflow. * Partner with analytics domain experts to understand business data needs and translate them into a practical platform and framework strategy. * Lead the execution of this strategy in close collaboration with engineering and project delivery teams. * Communicate product goals, progress, and achievements to product, engineering, business leaders, sales, proposition, support, and other internal stakeholders. * Stay informed on financial analytics market trends to maintain a forward‑looking, future‑ready strategy. * Continuously learn and adapt to emerging technologies and techniques in financial analytics. * Develop and deploy production‑grade AI models and data‑driven solutions aligned with strategic objectives. * Tune and optimize AI models to improve accuracy, performance, and scalability. * Evaluate third‑party AI capabilities using both functional and non‑functional criteria. * Establish and enforce coding standards to ensure a maintainable, robust codebase. * Collaborate with Software Engineers and cross‑functional teams to define requirements, set direction, and shape development roadmaps. * Hands‑on experience in data science, including Natural Language Processing, Large Language Models, prompt engineering, and Retrieval‑Augmented Generation (RAG). * Skilled in training, testing, and validating deep learning models as well as classical machine learning models. * Ability to design and implement evaluation frameworks for automation solutions based on business requirements. * Experience building solutions and onboarding workloads on AWS or other cloud platforms. * Expertise in web crawling and scraping techniques, entity identification and extraction, and advanced pre‑ and post‑processing methods using emerging technologies such as prompt engineering. * Proficient in processing structured, semi‑structured, and unstructured data from PDFs and scanned documents. * Proven ability to apply strong statistical analysis skills, including probability and applied statistics, to model development and evaluation. * Strong influencing and collaboration skills, supporting cross‑team execution and alignment. * Hands\-on experience with leading commercial or open\-source data management tools. * Excellent written, verbal, and presentation skills, with the ability to present to peers, senior management, and cross\-functional partners. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice. Work Location: Bengaluru, India Availability: Full time

* Experience with Git‑based version control and CI/CD pipelines (GitLab/GitHub runners). * Familiarity with MLOps principles and experience deploying solutions on cloud platforms (AWS and/or Azure). * Experience in large financial services or investment banking environments. * Familiarity with Refinitiv or LSEG products and financial data workflows. * Experience working with global or distributed teams. * Comfort interacting with senior stakeholders, including executives and C‑suite partners. Education: * Master’s degree in Statistics, Mathematics, or Computer Science with a Data Science certification, or an Engineering degree specializing in Data Science and Artificial Intelligence. * Proficiency in Python, R, and SQL.. Key Skills: Data Science, Python, SQL, Statistics, Machine Learning Salary: INR 500000 - 1e+06 per yearly