1. Data Quality & Structure
o Designing, maintaining and optimising relational, graph and vector databases.
o Ensuring consistent data modelling, data quality and interoperability.
2. Data Vendors & Integration
o Selecting, integrating and managing external data sources and suppliers.
o Negotiating and aligning around API integrations, data schemes and licensing models.
o Monitoring that data matches our internal data standards and use cases.
3. Data Modeling & Augmentation
o Developing smart data structures suitable for sector-specific applications.
o Applying data augmentation to enrich datasets and improve representation.
4. AI & Sector-specific Models
o Developing and fine-tuning of sector-specific AI models.
o Experimenting with agentic AI and conversational pipelines.
5. Complex Questions & Conversational Search
o Building solutions that allow customers to ask complex questions and get answers.
o Developing the query and conversational AI infrastructure that makes this possible.
