Data Scientist - Legal Technology

Digital Data Foundation; Belfast; On-site; GBP 100,000 - 125,000; Full time

Job summary

A data solutions company based in the United Kingdom is seeking a talented Data Scientist to apply disruptive technologies in Legal Technology. The position emphasizes developing efficient solutions for legal services. Key responsibilities include designing data processing pipelines, collaborating with clients, and performing data analysis. The ideal candidate will have a degree, at least 2 years of experience, and proficiency in data analysis languages. This role offers an excellent salary and benefits.

Benefits

Excellent Salary

Benefits

Qualifications

• At least 2 years of progressive experience in Data Science.
• Understanding of legal services, preferably with legal experience.
• Experience with ETL and data analysis languages.
• Ability to create software packages and documentation.

Responsibilities

• Elicit business objectives and select appropriate tools.
• Collaborate with clients to understand requirements.
• Design data processing pipelines for various data types.
• Develop proofs of concept for business decisions.
• Clean, model, and analyze data.

Skills

data analysis

communication skills

data cleaning

data modeling

algorithm development

Education

Degree in relevant field

Tools

R

Python

Scala

SQL

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