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Managing Principal Semantics & Graph Engineering

Job LocationLondon
EducationNot Mentioned
Salary£90,000 - £180,000 per annum
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent, full-time

Job Description

Data ConsultantLondon, United KingdomSalary up to £180,000 + BenefitsLooking for a Data Consultant to work with a business consultancy who focus on the financial services sector.THE COMPANYJoin this innovative management consultancy, this well established company is well known for its fantastic culture and exciting work environment. Over the last few years they have put huge investment into their data growth and they are now looking for a senior member to join the team focusing on graph and semantics engineering.THE ROLEThis role will allow you to improve your analytical skills; building models, improving modelling for architecture, and visualising the data to an expertise standard. Please see below for an overview of the role:

  • Streamline processes
  • Automate processes
  • Interpret data for trends
  • Propose new models
  • Implement new solutions using graph data and semantics
  • Lead and mentor a high performing team
  • Scale the data practice
  • Work with other partners to improve theyre graph technologies
  • YOUR SKILLS AND EXPERIENCE
  • A degree or masters in computer science, Physics, Mathematics or similar
  • Advanced SQL, Python, R, Pytorch, Tensorflow, Keras etc
  • Technically strong when handling data
  • Experience leading and coaching Junior Data Scientists
  • Mentorship experience desirable
  • Experience with working with Graph and Semantic Data
  • Strong knowledge of knowledge representation
  • Experience working with semantic technologies
  • Experience working with Graph/Triph stores and technologies
  • Tech stack: Neo4j, TigerGraph, Stardog, GraphDB
  • Good knowledge of Data Architecture
  • SALARY AND BENEFITS
  • Salary ranging from £90,000 - £180,000
  • + a number of benefits
  • HOW TO APPLY
  • Please register your interest by sending your CV to Charlotte York via the apply link on this page
  • APPLY NOW

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