Data Scientist analyzing large datasets to discover trends and supporting business stakeholders with data - driven insights. Designing machine learning models and presenting information through data visualization.
LG
Hybrid Senior Data Scientist – IP Development, Strategic Markets
Posted 8 hours 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
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Data Scientist designing generative AI applications at Roche, leveraging extensive expertise in AI and business applications. Collaborating with teams and influencing technical priorities in a dynamic environment.
Data Scientist building extensible multi - agent infrastructure at Roche. Focused on Generative AI solutions transforming healthcare and biotech operations.
Data Scientist executing complex data science projects in Pharma R&D at Roche. Leading AI initiatives and data integration efforts to drive strategic decision - making.
Senior Data Scientist building machine learning solutions for Kempower's EV charging software. Collaborating across teams and mentoring junior colleagues in a hybrid work environment.
Data Science Intern supporting AI/ML initiatives within Foundation GEOINT. Working on computer vision and geospatial data analysis for government customers.
Data Scientist helping drive customer success and engagement using data - driven insights at OpenAI. Collaborating with various business units to optimize performance and foster growth.
Data Scientist III at Frost managing data extraction and modeling for banking services. Lead projects, mentor analysts, and design machine learning algorithms for business optimization.
Data Scientist role at Vivo, engaging in data transformation and machine learning on large datasets. Focus on big data analytics using modern tools and methodologies in a telecom environment.
Internship in Data Science and AI at Ekimetrics focusing on data - driven marketing solutions. Join a team to analyze data, develop models, and improve business performance.