• Semantics Research Scientist (Senior Data Scientist)

    Location IE-Dublin 2
    Job ID
    2019-15644
    # of Openings
    1
    Job Category
    Information Technology
  • Overview

    UL is seeking a Semantics Research Scientist (Senior Data Scientist) to join the iON Compliance team in Dublin, Ireland.

     

    iON Compliance is a big data platform combining data ingest, analytics, machine learning and elements of artificial intelligence within a data lake. iON is now looking to add a Semantics Research Scientist (Senior Data Scientist) to our team to accelerate the growth of the most innovative UL digital technology investment in its history. Our goal is to enable the UL client base to effectively apply the recent developments in the digital revolution, by giving them the ability to truly leverage their own corpus of data with internal core competences and win in a rapidly evolving digital eco-system.

    Responsibilities

    Semantic Search Powering
    ·         Build the tools necessary to optimize the use of our internal document semantic search engine

    ·         Understand the architecture of the open source document indexing (Apache SOLR), Elastic Search and search engine Open Semantic Search (OSS)

    ·         Implement the use of ontologies/dictionaries, exploring OSS features in depth to fully leverage those tools (enable tagging documents with relevant entities)

    ·         Improve and update ontologies/dictionaries

    ·         Develop processes to update and debug OSS when new releases or patches are available

    ·         Optimize our unstructured data collection pipeline

     

    Information Extraction And Linkage

    ·         Implement state-of-the-art Named Entity Recognition for multiple entities leveraging Multi-task learning

    ·         Establish relationship extraction between entities with classification of relationship types

    ·         Perform topic modeling on documents in combination with sentiment analysis

     

    Insight Extraction

    ·         Leverage the information extracted from documents to design algorithms to alert analysts of important catalyst events

    ·         Design and implement the storage of the extracted information in a graph database

    ·         Use knowledge graph inference to propose un-witnessed relationships between entities (establish new links) and support data linkage corrections (remove wrong links)

    Qualifications

    Skills & Qualifications:

    ·         Proficient in Python and R with experience in understanding existing complex code

    ·         Experience working in Azure Data Lake environment and using GitHub

    ·         Experience reproducing published results and improving on them using Tensorflow

    ·         Experience developing machine learning models at scale from inception to business impact

    ·         Successful experience in collaborating on code development

    ·         Ability to partner with team members using strong written and verbal communication

    ·         Experience in graph database design, query language and knowledge graph algorithms (such as neo4j), ontologies (OWL and RDF)

    ·         Experience in knowledge engineering and use of protégé

    ·         Experience in knowledge graph inference and interfacing with Neural Network preferred

    ·         Experience in active learning, web scraping, and/or developing and executing a research agenda are ideal

    ·         Self-motivated, proactive, and able to thrive in ambiguous situations

    ·         Strong communication skills (written and verbal)

     

    Experience & Education Requirements:
    ·         PhD and 2+ years’ experience (preferred) or Master's degree and 5+ years' work experience

    ·         Experience working in the retail/health care/finance industry is a plus

     

    Working Conditions:
    ·         Dynamic, interactive, fast-paced office environment

    ·         Limited domestic or international travel may be required

    ·         Authorized to work in Ireland

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