Data Scientist - Legal Technology

Digital Data Foundation; Belfast City District; On-site; GBP 65,000 - 90,000; Full time

Job summary

Digital Data Foundation seeks a Data Scientist focused on Legal Technology. The role involves applying disruptive technologies to deliver scalable solutions and drive efficiencies in legal services.

You will work across e-discovery, AI, data extraction, and workflow improvements, collaborating with clients and colleagues to understand requirements and deliver data-driven results.

Qualifications

• Degree level education, with at least 2 years progressive data science experience.
• Familiarity with legal services is preferred.

Responsibilities

• Elicit business objectives or identify challenges and select appropriate data science tools.
• Collaborate with clients to understand requirements and deliver solutions.
• Design and build data processing pipelines for structured, semi-structured and unstructured sources.
• Create tools to answer specific questions and develop proofs of concept.
• Perform data cleaning, modelling, reporting, statistical analysis and algorithm development.
• Advise, plan, and deliver data-driven solutions and interpretation of results.

Job description

Belfast, Northern Ireland, United Kingdom

About the job 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