Senior Data Scientist – Ip Development For Strategic Markets
Land Securities Group
Bucharest, Romania
Hybrid (3 days per week in office)
End-to-end mentality
Llms and nlp hands-on experience
Production deployment
The Senior Data Scientist role at Land Securities Group involves developing data science solutions for strategic markets, focusing on challenges such as carbon emissions modeling and ESG data extraction. The position requires strong hands-on experience in NLP and machine learning, along with collaboration across teams to ensure the solutions are market-relevant and production-ready
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 Senior Data Scientist role at Land Securities Group involves developing data science solutions for strategic markets, focusing on challenges such as carbon emissions modeling and ESG data extraction. The position requires strong hands-on experience in NLP and machine learning, along with collaboration across teams to ensure the solutions are market-relevant and production-ready.
Skills & Requirements
Must-have
end-to-end mentality
LLMs and NLP hands-on experience
production deployment
Python for data analysis and SQL
statistics and machine learning
cross-functional team collaboration
Git, Docker, and cloud platforms
Nice-to-have
SFI/ESG, Islamic Finance, emerging markets
interactive UI development
model monitoring tools
agentic AI workflows
prior ML/NLP research
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)
Ability to produce clear technical and non-technical documentation