Principal Data Consultant - Graph & Semantics.

at  Capco

PRINCIPAL DATA CONSULTANT - GRAPH & SEMANTICS

Joining Capco means joining an organisation that is committed to an inclusive working environment where you’re encouraged to #BeYourselfAtWork. We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It’s important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table – so we’d love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help.

ABOUT US

Capco is global technology and business consultancy with a focus on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry, combining innovative thinking with unique expert know-how. The solutions we offer our customers every day are as diverse as our employees.

SKILLS & EXPERTISE

• Graph and Semantic Senior Data Consultants will require multi-disciplinary capabilities required to explain, design, and deliver powerful knowledge graph models – a good balance of business and technical understanding
• 5+ years of experience with Knowledge Representation and Semantic Technologies, e.g. OWL, RDF, SWRL, SPARQL, JSON-LD, Turtle, N-Quads, including semantic modelling and data
• Proficiency in at least one of the following languages: Python, Java, C-based languages
• Has working knowledge of several Graph/Triple Stores and related technologies, e.g. Stardog, Anzo, GraphDB, Apache Jena, TigerGraph, TypeDB, MarkLogic, Metaphactory, Neo4j, Protégé,Poolparty
• Has worked on multiple use cases for these technologies, and is able to transform client use cases into graph-based solutions efficiently
• Experience delivering knowledge graph projects including data acquisition, modelling, pipelines and visualisation.
• Has managed technology projects with a sizeable amount of data
• Excellent Communication skills – be an effective, passionate, trusted advocate and communicator for Graph and Semantic Technologies
• Experience in applying semantic technologies in an industry setting, or practical experience as part of an academic, Library Science or Information/Knowledge Management career

OTHER DESIRED SKILLS:

• Experience in the 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
• Agile software development frameworks, e.g. Scrum, Kanban, Extreme Programming
• Understanding of data management and governance toolsets and methodologies

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.
• Leading the development and proposition of innovative solutions as Capco expands its engagement with clients interested in exploring the capabilities and advantages of Semantic Graph Technologies.

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.