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Data Ontologist

Trust In Soda
Job LocationLondon
EducationNot Mentioned
Salary500.00 - 800.00 per day
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypeContract , full-time

Job Description

Data OntologistRate: Market RateDuration: 3 months +Start Date: ASAPLocation: Remote/LondonIR35: Inside Role Description

  • Graph and Semantic Engineering are emerging enterprise data technologies that leverage ontologies and related advanced analytics - including artificial intelligence - to build and represent knowledge in expressive and novel ways
  • Primary responsibility in this role is to help clients succeed by understanding, exploiting, designing, and implementing solutions involving graph and semantic technologies - including advanced data management and analytics, and other innovative new ways
  • Other responsibilities include growing the Data Practice domain in scale and capability - applying an entrepreneurial mindset to build upon established capabilities and relationships - maintaining thought leadership in how graph is applied today, and wherefuture strategies could lead
  • This will involve shaping and executing the hiring strategy and developing the best of in-house talent
  • In the fast-changing landscape of potential partners in graph technology, an ongoing curiosity and developing connections with key partners, will enable valuable support for clients
We require Data Ontologys to work in team to build out data lineage offering and operationalise Lineage sparql queries and lead team of data analysts. Deliverables;
  • Delivery and delivery management of analytics that demonstrate completeness of process, system and data flows using metadata captured and maintained in an RDF graph database.
  • Ability to measure and challenge completeness and quality of data
  • Ability to visualize outputs using Powerpoint, Excel, Qlikview/Sense (optional),
  • HTML/Javascript (optional)
  • Understanding of data management concepts such as Authorised Sourcing, Data Quality management, Data Lineage, Data Cataloguing.
Key Experience/ Skills:
  • Sound understanding of Knowledge Representation and Semantic Technologies (OWL, RDF, SWRL, SPARQL, JSON-LD) including semantic modelling and data integration, data unification, knowledge graph design, ontology and taxonomy
  • Awareness of the breadth of use cases for these technologies, prudent user interface design which exploit the power of graph and mitigates the challenges of visualizing graph data
  • Experience with Graph/Triple Stores and related technologies, e.g. PoolParty, Stardog, TigerGraph, Ontotext GraphDB, Grakn, MarkLogic, Metaphactory, Neo4j
  • Understanding of data/information architecture and modelling languages such as UML, ER, IDEF, Data Flow Diagram
  • Excellent Communication skills - be an effective, passionate, trusted advocate and communicator for Graph and Semantic Technologies
Other desired skills:
  • Good awareness of financial services domain is a great advantage
  • Ability to utilize NLP, machine learning and semantic text mining to translate data into machine understandable representations to support advanced analytics, classification, inference processing and knowledge extraction
  • Familiarity with mapping techniques, e.g. R2RML, for transforming relational/tabular datasets into triples
  • Agile software development frameworks, e.g. Scrum, Kanban, Extreme Programming

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