Data Scientist - Legal Technology & Innovation

Digital Data Foundation

Belfast

Full time

Sep 9


Data Scientist – Legal Technology

£ Excellent Salary + Benefits - Ireland


James Carrera of Digital Data Foundation has been retained to source a talented Data Scientist to be centric in the application of disruptive technologies for scalable solutions in Legal Technology, to solve challenges & drive efficiencies.


Responsibilities

With applications in e-discovery, AI, data extraction, data visualisation and workflow, the data scientist will work closely and collaboratively, at the cutting edge of innovation, to change the way legal services are delivered.

  • Elicit business objectives or identify challenges and select appropriate tools.
  • Work internal and external with clients to understand requirements.
  • Design/create data processing pipelines for structured, semi-structured and unstructured sources that aid data exploration and modelling.
  • Design/create tools that allow the business to answer specific, relevant questions.
  • Develop proofs of concept to assist in business decisions.
  • Data cleaning, modelling, reporting, statistical analysis, algorithm development, resource planning.
  • Advise, plan, and deliver appropriate solutions to analyse data and interpret results.


Experience

Educated to degree level you will have at least 2 years progressive experience in Data Science.

  • Understanding of legal services, preference given to those with legal experience
  • Standard ETL and/or data analysis languages - R, python, Scala, SQL
  • Creating software packages/libraries including documentation and tests
  • Understanding of data types, data structures, and notation/markup standards such as JSON and XML
  • Principles of visualisation
  • Knowledge of latest trends in data science, a passion for innovation
  • Exceptional communicator, the ability to explain technical aspects clearly and simply to indivduals from varying non-technical backgrounds


For a confidential discussion contact James Carrera

Digital Data Foundation


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Digital Data Foundation

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