Knowledge Graph consultant

at  Capgemini

WHAT YOU’LL DO:

• Semantic Technologies: We work with clients using a wide range of tools such as the whole of W3C Semantic Stack (RDF, RDFS, SPARQL, OWL, SHACL), graph databases, ontology modelling and tech stack such as Neo4j or other Labeled Property Graph implementations.
• Data Alchemy: Dive into data wrangling, craft algorithms, and deploy solutions that matter and create insights. ETL processes with various graph databases.
• Data Modeling: Craft effective data models that represent business entities and relationships.
• Wide Horizons: From tackling the complexities of fraud detection to enhancing user experiences through sophisticated product recommendation, the variety is vast.
• Cloud Expertise: We’re all about Databricks and cloud platforms (Azure, AWS, Google Cloud).
• Knowledge Sharing: We actively promote knowledge sharing and skills development at Capgemini. You’ll belong to specific areas of expertise (capability area), where lessons learnt, and experiences are shared. We think you will be happy to help upskill our junior talents if need be.
• Client Interaction: As part of a team, you’ll engage with clients, understanding their needs and developing optimal technical solutions, for them to become more data-driven.
• Flexible Approach: We are seeking a dynamic consultant who is eager to primarily focus on knowledge graph development, while also being flexible and enthusiastic about contributing to various data science projects if needed.
• International Collaborations: Our Knowledge graph team in I&D Sweden are collaborating with our neighboring countries. This opens up the opportunity for our Knowledge graph consultants to work internationally if that is within your interests.