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LSEG

Global financial market infrastructure and data

Lead Data Scientist - AI

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • At least 10 years of experience applying data science methods to real-world problems, including a track record of deploying AI models and solutions to production.
  • Strong data analysis skills and a foundation in probability for model development and interpretation.
  • Proficiency in object-oriented programming in Python and expertise with data science and machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn.
  • Expertise in cloud technologies, especially Azure and/or AWS, and deployment practices for scalable delivery.
  • A track record of establishing and upholding coding standards for high-quality, maintainable code.
  • Communication skills to explain complex technical concepts clearly to technical and non-technical partners.
  • Experience building production-grade document intelligence solutions to extract, structure, and analyze information from large, complex financial documents using OCR, Intelligent Document Processing, natural language processing, information extraction, and generative AI techniques.
  • Hands-on expertise with AI and document-understanding platforms, frameworks, and tools, including OpenAI, Gemini, Claude, Llama, Azure AI Document Intelligence, AWS Textract, Google Document AI, LangChain, LlamaIndex, and vector databases.
  • A bachelor's degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, or Physics, or equivalent work experience.

Responsibilities

  • Develop and deploy production-level AI models using generative AI capabilities such as OpenAI and Gemini, and data-driven solutions aligned with strategic business objectives.
  • Tune and optimize AI models to improve accuracy, efficiency, and fitness for purpose.
  • Evaluate third-party AI solutions for functional and non-functional suitability, including performance, scalability, and business needs.
  • Establish and apply model evaluation and coding standards to maintain production-grade code.
  • Work with business and engineering partners to define project requirements and direction, and establish development roadmaps.
  • Develop and deploy AI-powered document intelligence solutions to extract, structure, validate, and generate insights from complex financial documents, including regulatory filings, financial statements, earnings transcripts, research reports, and other unstructured content.
  • Design and optimize scalable retrieval and knowledge discovery frameworks using OCR, natural language processing, semantic search, Retrieval-Augmented Generation, and large language models for accurate information extraction and analysis.

Desired Qualifications

  • Working knowledge of DevOps practices, including code versioning, continuous integration and continuous delivery pipelines, automated testing, and monitoring, to streamline development workflows and improve deployment reliability.

About the Company

LSEG

Global financial market infrastructure and data

LSEG provides global financial market infrastructure and data across the full value chain. It delivers data, analytics, and risk-management tools, benchmarks via FTSE Russell, regulatory and financial crime risk services, and trading, clearing, and settlement through its Capital Markets and Post Trade divisions, typically accessed via subscriptions, licensing, and fees. The company differentiates itself by offering an integrated, end-to-end platform that covers pre-trade data and analytics to post-trade processing with a broad, global footprint. Its goal is to grow over the long term by leveraging its diversified portfolio and international reach to create value for shareholders and customers.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1801

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