LSEG (London Stock Exchange Group)
AI

Senior Data Scientist

LSEG (London Stock Exchange Group) · București, IF, RO · $25k

Actively hiring Posted 4 months ago

Responsibilities

  • Research, design and build advanced NLP & data science solutions to address ESG-related challenges (e.g., company carbon emissions estimations, ESG data extraction from company filings).
  • Collaborate with engineering and operations teams to deploy robust and scalable models, pipelines, and user interfaces.
  • Maintain and enhance existing methodologies and codebases to add new features and improve quality. Stay on top of the latest R&D in data science, NLP (GenAI), competitor offerings, and sustainable finance.
  • Advise internal and external partners on knowledge of SFI models as a Subject Matter Expert (SME).
  • Data Analysis and Integration Identify and assess data sources, as well as develop data queries needed by projects.
  • Analyze data and identify patterns to ensure practical, customer focused and production-ready designs. Integrate internal and external data sources into end-to-end pipelines for solution development.
  • Project Management & Collaborator Engagement Collaborate with cross-functional team members across research, engineering and operations to drive successful project outcomes.
  • Provide technical leadership in project planning, deliverable scoping and solution architecture.
  • Proactively identify potential risks and issues, and engaging collaborators to develop and implement mitigation strategies.
  • Effectively communicate complex analyses and insights to both technical and non-technical audiences through clear reports, visualizations and presentations.

Basic qualifications

  • Bachelor, Master or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Minimum 5 years’ working experience as a Data Scientist or similar roles, with emphasis on machine learning, NLP or advanced analytics.
  • Strong coding skills with track record of delivering data science solutions in commercial products or platforms.
  • Advanced Python: data analysis (pandas/polars), data query (SQL, APIs), modular programming, performance optimization, etc.
  • Core Expertise: statistics, machine learning, model evaluation, and classical NLP techniques.
  • Ability to produce clear, structured technical and non-technical materials.
  • Collaboration Tools: Git, containerization (Docker) and cloud platforms (AWS, Azure) LLM Fundamentals: understanding of use cases, cost structures, human-in-the-loop workflows, and RAG.

Preferred qualifications

  • Experience in developing LLM-based solutions for commercial products or platforms.
  • Experience with building interactive user interfaces (e.g., Gradio, Streamlit, Dash)
  • Experience with model monitoring tools (e.g., MLflow, Weights & Biases)
  • Experience with agentic AI
  • Research experience in machine learning, NLP or ESG
  • Work experience in financial industry or ESG-related projects.

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Fulltime Ai Data Science Nlp
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