Data Science Intern supporting AI/ML initiatives within Foundation GEOINT. Working on computer vision and geospatial data analysis for government customers.
LG
Hybrid Senior Data Scientist – IP Development, Strategic Markets
Posted 1 hour ago
About the role
- Senior Data Scientist developing NLP and data science solutions for fast-evolving markets at LSEG. Collaborating with Subject Matter Experts to ensure production-ready, customer-focused outcomes.
Responsibilities
- Research, design and build advanced NLP and data science solutions targeting challenges in fast-moving, non-standard markets
- Stay current with the latest developments in data science, GenAI/LLMs, NLP, and competitor offerings
- Collaborate with internal Subject Matter Experts to ensure solutions are methodologically sound and aligned with real market needs
- Take ownership of solutions from prototype through to production — including production-ready handoffs, scalability, and ongoing quality
- Collaborate with engineering and operations teams to build robust models, pipelines, and user interfaces
- Identify and assess relevant data sources; develop and maintain data queries and pipelines
- Analyse data, identify patterns, and ensure designs are practical, customer-focused, and production-ready
- Integrate internal and external data sources into end-to-end pipelines for solution development
- Provide technical leadership on project planning, deliverable scoping, and solution architecture
- Act as a Subject Matter Expert on existing data science models for internal and external partners
- Communicate complex analyses and findings clearly to both technical and non-technical audiences
- Proactively surface risks and work with collaborators to develop mitigation strategies
Requirements
- Bachelor's, Master's or PhD in Computer Science, AI, Machine Learning, or a related field
- 5+ years of experience as a Data Scientist, with a strong emphasis on NLP, GenAI, machine learning, or advanced analytics
- Hands-on experience building and deploying LLM-based solutions in commercial products or platforms
- Strong Python skills: data analysis (pandas/polars), SQL and API querying, modular programming, and performance optimisation
- Solid grounding in statistics, machine learning, model evaluation, and classical NLP techniques
- Experience working collaboratively with cross-functional teams including domain experts, engineers, and business stakeholders
- Proficiency with Git, Docker, and cloud platforms (AWS or Azure)
- Ability to produce clear technical and non-technical documentation and presentations
Benefits
- healthcare
- retirement planning
- paid volunteering days
- wellbeing initiatives
Job title
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Experience level
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Not specified
Degree requirement
Tech skills
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