Key Facts

Remote From:

Full time

Mid-level (2-5 years)

Hard Skills

Data Collection Data Science Artificial Intelligence Data Visualization Algorithm Analysis Data Modeling Python (Programming Language) Statistical Analysis Analytics SQL (Programming Language) Scala (Programming Language) R (Programming Language) ETL (Extract Transform Load) Data Cleansing Court Experience JSON Java XML

Other Skills

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Collaboration
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Communication
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Problem Solving

Digital Data Foundation

Hrtech: Human Resources + Technology

About Digital Data Foundation

Finding your talent is our talent.We’re a talent solutions business focused on relationships, not transactions. So our range of services is designed not just to help you fill your roles quickly, but fill them with candidates who’ll enhance your business.We’re highly consultative, collaborative, and we’re proactive when it comes to finding solutions. Creating relationships rather than transactions, Clients rather than Customers.Our niche recruitment offering coupled with an in-depth expert knowledge of our core markets has enabled us to offer a true global recruitment solution.Legal Services and Technology recruitment experts - we’ve got a passion for supporting an industry that’s always thinking ahead, with innovation at its core.Carrying that spirit of innovation into our business – finding new and better ways to help our clients find the best talent at each and every level of their development.We’re people experts, focused on creating relationships between clients and candidates that stand the test of time. We know our industry inside and out, and build successful teams that make a difference - all around the world.

Company type: Startup

Industry: Hrtech: Human Resources + Technology

Founded: 2018

Company size: 2 - 10

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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