Data Scientist

Data Scientist - 7months - £700pd (inside) - London

Trust in Soda are partnered with a leading Financial Service's digital transformation agency as they build out their core Data Science offering

Financial services firms have significant challenges and great opportunities to manage and exploit data - their own and new big data sets. Their ability to compete, to comply, and to transform is tied to their ability to unlock hidden links between data scattered around various data silos and extract value from it. Next generation tools in the industry will include AI systems powered by knowledge graphs - able to handle complexity and ensure that the answers they provide have context and can be explained

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
Capco's clients are beginning to exploit this paradigm shift - a shift in how highly variable structured and unstructured information is linked - to building knowledge that can be meaningfully understood by people and machines
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 Capco established capabilities and relationships - maintaining thought leadership in how graph is applied today, and where future 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

Top Skills

Graph and Semantic Data Consultants 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, 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