Description
Knowledge Graph BA/Semantic BA - Investment Bank
My client is looking for an experienced contract Knowledge Graph BA/Semantic BA to join the team. 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. There is a shift in how highly variable structured and unstructured information is linked, to building knowledge that can be meaningfully understood by people and machines.
Key skills:
- Knowledge Graph and Semantic BA will require multi-disciplinary capabilities required to explain, design and create powerful knowledge graph models - a good balance of business and technical understanding
- 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, eg 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
Desirable skills:
- Ability to utilize NLP (Natural Learning Processing), machine learning and semantic text mining to translate data into machine understandable representations to support advanced analytics, classification, inference processing and knowledge extraction
- Financial Services/Investment Banking
Responsibilities:
- 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 where future strategies could lead
- 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
Please apply now for immediate consideration and further details.
Keywords: Knowledge Graph BA, Semantic BA, Graph BA, Knowledge Representation, Semantic Technologies, SPARQL, RDF, OWL, SWRL, Investment Bank, Investment Banking.
Scot Lewis Associates Ltd is acting as an employment business.