Senior Data Scientist – Ip Development For Strategic Markets

London Stock Exchange Group

Bucharest, Romania
Hybrid (3 days per week in-office)
Nlp and data science solutions
Genai/llms
Python for data analysis
The London Stock Exchange Group is seeking a Senior Data Scientist for their Bucharest office, focusing on developing innovative data science solutions for emerging markets, particularly in Sustainable Finance and Investment. The ideal candidate should possess a strong background in NLP, machine learning, and collaborative project engagement

Job Summary

  • Within the Data Science team of the Strategic Markets business unit at LSEG, we are building proprietary data science solutions for a cluster of high-growth, fast-evolving markets.
  • This is an IP development role. You'll be researching, designing, building and evaluating solutions that address real gaps in these markets, from carbon emissions modelling to ESG data extraction from company filings.
  • We're looking for someone with an end-to-end mentality. Research and development is the core of the role, but the work isn't done when the model works in a notebook — it's done when it's in production, performing reliably at scale, and delivering value.

Matching Summary

Match Score: 85

The London Stock Exchange Group is seeking a Senior Data Scientist for their Bucharest office, focusing on developing innovative data science solutions for emerging markets, particularly in Sustainable Finance and Investment. The ideal candidate should possess a strong background in NLP, machine learning, and collaborative project engagement.

Skills & Requirements

Must-have

  • NLP and data science solutions
  • GenAI/LLMs
  • Python for data analysis
  • Machine learning and NLP techniques
  • Cloud platforms (AWS or Azure)
  • Production deployment and scalability

Nice-to-have

  • Sustainable Finance & Investment (SFI)
  • Islamic Finance
  • Emerging market exchanges
  • Interactive UI development
  • Agentic AI workflows

Key Requirements

  • 5+ years of experience as a Data Scientist
  • Bachelor's, Master's or PhD in Computer Science, AI, Machine Learning, or related field
  • Hands-on experience building and deploying LLM-based solutions
  • Proficiency with Git, Docker

Work Rights

Not specified

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