Senior Data Scientist – Ip Development For Strategic Markets
London Stock Exchange Group
Bucharest, Romania
Hybrid
End-to-end data science solutions
Llm and nlp hands-on experience
Python data analysis and sql
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 — spanning Sustainable Finance & Investment (SFI), Islamic Finance, emerging market exchanges, and international localisation
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 — spanning Sustainable Finance & Investment (SFI), Islamic Finance, emerging market exchanges, and international localisation.
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.
If you enjoy the intellectual challenge of novel problem-solving, have strong hands-on experience with LLMs and NLP, and take pride in shipping things that have real-world impact, this role is for you.
Matching 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 — spanning Sustainable Finance & Investment (SFI), Islamic Finance, emerging market exchanges, and international localisation.
Skills & Requirements
Must-have
end-to-end data science solutions
LLM and NLP hands-on experience
Python data analysis and SQL
production deployment and scalability
cross-functional team collaboration
Nice-to-have
familiarity with SFI/ESG markets
interactive UI development experience
agentic AI workflows
model monitoring tools
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, and cloud platforms (AWS or Azure)