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Lead Data Scientist - AI

IND-Bangalore-A, RMZ Infinity

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
Apply at London Stock Exchange Group

What you’ll work on

Full posting
  • Develop and deploy production-level AI models using GenAI tools like OpenAI and Gemini

  • Build AI document intelligence to extract and validate data from financial filings

  • Design retrieval and knowledge search systems using OCR, semantic search and RAG

  • Tune AI models for accuracy and efficiency

  • Evaluate third-party AI solutions on performance, scalability and business fit

From the employer’s posting
Develop and deploy production-level AI models using Gen AI capabilities like OpenAI, Gemini, etc
Develop and deploy AI-powered document intelligence solutions to extract, structure, validate, and generate insights from complex financial documents
Design and optimize scalable retrieval and knowledge discovery frameworks using OCR, NLP, semantic search, Retrieval-Augmented Generation (RAG)
Tune and optimize AI models to improve their accuracy, efficiency and overall fitness for purpose in various applications.
Evaluate third-party AI solutions on both functional and non-functional aspects

What you’ll bring

All qualifications

Core experience

  • 10+ years of Extensive experience applying data science methods to solve real-world problems with a proven track record of deploying AI models and solutions to production.
  • Bachelor’s degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or related field, or equivalent work experience
  • Proficiency in Object-Oriented programming in Python with expertise in key data science and machine learning libraries (e.g.
  • Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices, ensuring seamless and scalable delivery.
  • Excellent communication skills for summarizing complex technical concepts clearly and effectively to both technical and non-technical partners.
  • Proven experience building production-grade document intelligence solutions for extracting, structuring, and analyzing text-based information from large and complex financial documents using OCR, Intelligent Document Processing (IDP), NLP, information extraction, and Generative AI techniques.
Qualification wording
10+ years of Extensive experience applying data science methods to solve real-world problems with a proven track record of deploying AI models and solutions to production.
Bachelor’s degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or related field, or equivalent work experience
Proficiency in Object-Oriented programming in Python with expertise in key data science and machine learning libraries (e.g. TensorFlow, PyTorch and Scikit-Learn).
Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices, ensuring seamless and scalable delivery.
Excellent communication skills for summarizing complex technical concepts clearly and effectively to both technical and non-technical partners.
Proven experience building production-grade document intelligence solutions for extracting, structuring, and analyzing text-based information from large and complex financial documents using OCR, Intelligent Document Processing (IDP), NLP, information extraction, and Generative AI techniques.
Education & alternatives
Education - Bachelor’s degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or related field, or equivalent work experience What you’ll get in return

Tools in this posting

  • Python
  • AWS
  • Azure
  • PyTorch
  • scikit-learn
  • TensorFlow
Source — Tool mentions in context
- Strong data analysis skills, with a foundation in probability, to lead robust model development and interpretation. - Proficiency in Object-Oriented programming in Python with expertise in key data science and machine learning libraries (e.g. TensorFlow, PyTorch and Scikit-Learn). - Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices, ensuring seamless and scalable delivery.
- Proficiency in Object-Oriented programming in Python with expertise in key data science and machine learning libraries (e.g. TensorFlow, PyTorch and Scikit-Learn). - Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices, ensuring seamless and scalable delivery. - Proven track record to establish and uphold coding standards to ensure high-quality, maintainable code.
- Proven experience building production-grade document intelligence solutions for extracting, structuring, and analyzing text-based information from large and complex financial documents using OCR, Intelligent Document Processing (IDP), NLP, information extraction, and Generative AI techniques. - Hands-on expertise with industry-leading AI and document understanding platforms, frameworks, and tools, including but not limited to OpenAI, Gemini, Claude, Llama, Azure AI Document Intelligence, AWS Textract, Google Document AI, LangChain, LlamaIndex, vector databases, and related technologies. Desirable skills

Posting record

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Live
First seen by us
Sep 29, 2026 · 19 days ago
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Last seen by us
Oct 18, 2026

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Job description

View original posting ↗

Are you an experienced data scientist with a passion for productionising AI solutions? Do you want to build innovative solutions for financial markets and professionals by co-developing with teams of brilliant, collaborative data scientists? If so, we’d love to talk to you!


As an individual contributor Lead Data Scientist, you will drive the development of high-impact, scalable AI solutions, moving beyond prototypes to production systems.

We are looking for lead applied data scientist with the proven ability to manage project timelines and deliver high-quality models and code that aligns with business goals.

The successful candidate will combine strong problem-solving skills with a collaborative approach to ensure team success.


What you'll be doing

This role combines hands-on technical leadership with strategic oversight in a high-impact environment focused on innovation and continuous development.

  • Develop and deploy production-level AI models using Gen AI capabilities like OpenAI, Gemini, etc and data-driven solutions that align with strategic business objectives.
  • Tune and optimize AI models to improve their accuracy, efficiency and overall fitness for purpose in various applications.
  • Evaluate third-party AI solutions on both functional and non-functional aspects, assessing their suitability based on performance, scalability, and business needs.
  • Establish and apply model evaluation and coding standards to maintain production grade code.
  • Work closely 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, NLP, semantic search, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs) to enable accurate information extraction and analysis.

What you'll bring


Essential Skills

  • 10+ years of Extensive experience applying data science methods to solve real-world problems with a proven track record of deploying AI models and solutions to production.
  • Strong data analysis skills, with a foundation in probability, to lead robust model development and interpretation.
  • Proficiency in Object-Oriented programming in Python with expertise in key data science and machine learning libraries (e.g. TensorFlow, PyTorch and Scikit-Learn).
  • Expertise in cloud technologies (emphasis on Azure and/or AWS) and deployment practices, ensuring seamless and scalable delivery.
  • Proven track record to establish and uphold coding standards to ensure high-quality, maintainable code.
  • Excellent communication skills for summarizing complex technical concepts clearly and effectively to both technical and non-technical partners.
  • Proven experience building production-grade document intelligence solutions for extracting, structuring, and analyzing text-based information from large and complex financial documents using OCR, Intelligent Document Processing (IDP), NLP, information extraction, and Generative AI techniques.
  • Hands-on expertise with industry-leading AI and document understanding platforms, frameworks, and tools, including but not limited to OpenAI, Gemini, Claude, Llama, Azure AI Document Intelligence, AWS Textract, Google Document AI, LangChain, LlamaIndex, vector databases, and related technologies.

Desirable skills

  • Working knowledge of DevOps practices, including code versioning, CI/CD pipelines, automated testing, and monitoring, to streamline development workflows and improve deployment reliability.

Education

  • Bachelor’s degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or related field, or equivalent work experience

What you’ll get in return

  • High-impact projects: We work on a variety of pioneering AI products and leverage extensive datasets to solve complex, high-value challenges.
  • Competitive benefits: You will enjoy a strong compensation package, comprehensive benefits, and ongoing investment in career growth and skill development.
  • Industry leadership: This is an opportunity to be a founding member of the organization that’s delivering brand-new products that democratize modeling and analytics solutions.
  • Collaborative environment: We provide opportunities for continuous learning and professional development in a work environment of dedicated, highly experienced teams.

We recognize that to attract the best talent, we need to be flexible, and we are open to discussing work arrangements with you. We take a hybrid approach to the workplace; this role is considered ‘digital first’, which requires attending the office at least one day per week while some teams and colleagues choose to collaborate in the office more frequently.

You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.

We're proud to have been recognised as a Great Place to Work® in India ‘25

Career Stage:

Manager

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.

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.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.

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.

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Location & working pattern

IND-Bangalore-A, RMZ Infinity

- Collaborative environment: We provide opportunities for continuous learning and professional development in a work environment of dedicated, highly experienced teams. We recognize that to attract the best talent, we need to be flexible, and we are open to discussing work arrangements with you. We take a hybrid approach to the workplace; this role is considered ‘digital first’, which requires attending the office at least one day per week while some teams and colleagues choose to collaborate in the office more frequently. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.
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