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Data Scientist - Legal Technology

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Full Remote
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Offer summary

Qualifications:

Educated to degree level with at least 2 years of progressive experience in Data Science., Proficiency in standard ETL and data analysis languages such as R, Python, Scala, and SQL., Understanding of data types, structures, and standards like JSON and XML., Exceptional communication skills to explain technical concepts to non-technical audiences..

Key responsabilities:

  • Collaborate on innovative solutions in e-discovery, AI, and data visualization for legal services.
  • Elicit business objectives and identify challenges to select appropriate tools.
  • Design and create data processing pipelines for various data sources.
  • Develop proofs of concept and deliver solutions for data analysis and interpretation.

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Digital Data Foundation Hrtech: Human Resources + Technology Startup https://www.digitaldatafoundation.com
2 - 10 Employees
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Job description

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 individuals from varying non-technical backgrounds

Required profile

Experience

Industry :
Hrtech: Human Resources + Technology
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Innovation
  • Communication

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