L
London Stock Exchange
Data Scientist
Skills
SQL QueriesPythonData ScienceData VisualizationNumPypandasData AnalysisMachine LearningAIWorkdayAzure
7 days ago
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Important information
Contract type:
Permanent
Location:
London, UK
Work mode:
Onsite
Published on:
13 October 2026
What they need
- We are seeking an experienced Data Scientist to help develop and deploy enterprise-scale AI and machine learning solutions that improve operational efficiency, service resilience and customer outcomes
- You will work closely with software engineers, SREs, product managers, platform teams and business stakeholders to identify opportunities, build predictive models, evaluate AI solutions and take products from concept through to production
- Design, build and deploy machine learning models to solve operational and business challenges
- Develop predictive analytics capabilities focused on incident prevention, service health, operational risk and customer experience
- Support the development of Generative AI applications leveraging LLMs, retrieval systems and agentic workflows
- Evaluate emerging AI technologies and recommend practical applications across the organisation
- Perform advanced statistical analysis and modelling across large-scale operational and engineering datasets
- Develop feature engineering, experimentation and model evaluation frameworks
- Create insights and recommendations that drive decision making for senior stakeholders
- Build and maintain reproducible data science workflows and pipelines
- Partner with engineering and product teams to transition solutions from proof-of-concept into production
- Define success metrics and measurement frameworks for AI products
- Support model monitoring, governance and continuous improvement activities
- Contribute to AI product roadmaps and prioritisation discussions
- Work with subject matter experts from Engineering, Operations, Service Management and Product organisations
- Communicate technical concepts clearly to both technical and non-technical audiences
- Contribute to the growth of LSEG’s AI and Data Science community through knowledge sharing and mentoring
- Promote responsible AI, model governance and data-driven decision making- The ideal candidate combines strong technical expertise with commercial awareness and the ability to translate complex data into actionable insights and measurable business value
- Experience working with structured and unstructured data at scale
- Demonstrable experience delivering machine learning or AI solutions within a large-scale enterprise environment
- Proven ability to translate business problems into measurable analytical outcomes
- Strong experience applying statistical modelling, predictive analytics and experimentation techniques
- Experience taking models from development into production environments
- SQL and large-scale data analysis
- Data visualisation and storytelling tools
- Python and associated data science ecosystem (Pandas, NumPy, Scikit-learn)
- Machine learning techniques including classification, regression, clustering and anomaly detection
- Cloud-based data science platforms and MLOps practices
- Experience with Generative AI, LLMs, RAG architectures or agent-based AI solutions
- Ownership and accountability for delivery
- Strong problem-solving capability and analytical thinking
- Customer-focused mindset with a focus on outcomes
- Clear communication and stakeholder management skills
- Commitment to continuous learning and innovation
- Curiosity and a passion for applying AI to real-world challenges
- Ability to work effectively across organisational boundaries
- Experience within financial services, regulated environments or market infrastructure
- Familiarity with Azure AI services and Microsoft AI ecosystem
- Experience developing AI-powered automation solutions
- Knowledge of Responsible AI and model governance frameworks
- Experience with observability, SRE or operational analytics use cases
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