Data Scientist (NI based / remote)

Closing date: 19th of April, 2024

*Junior Data Science, Belfast*

About Axiom:

Axiom is a recognized leader in the business of law, and defined the “alternative legal services” category over 20 years ago.  While not a law firm, Axiom would rank among the top 10 big law firms by number of lawyers employed. 

Axiom manages a diverse global network of legal professionals that are matched to engagements with Axiom’s prestigious clients using a bespoke technology platform.  While Axiom has made progress to automate this matchmaking process using machine learning, the vast majority of matches are still made manually by Axiom staff. 

Axiom is ready to transition from manual to automated matchmaking by pioneering technologies within the machine learning space. Using NLP and other data extraction, Axiom seeks to build out the capability to identify the best talent for roles at the right time. Pulling information out of the vast database of Talent and Client preferences, Axiom believes it can provide best in class experiences to the broad Axiom Talent Network.

To enable this transformation, Axiom’s Research & Development department is adding to our newly formed Data Science team.  This is your opportunity to join early stages of Axiom’s data science journey and help chart the course of Axiom’s future. 

About Data Science at Axiom:

The data science function within Axiom R&D is new, but with big eyes. A dedicated team focused on solving the deeper questions, the pod currently has a Sr Data Scientist, Data Engineer, and is joined by a science focused Product Manager from the Product team.

Axiom is looking for an Associate Data Scientist to define and build solutions that discover new and innovative ways to utilize the data within Axiom’s reach.

Our team’s mission is to constantly challenge the status quo and drive innovation to improve our Client, Talent, and Internal user’s experiences. This role requires knowledge in the areas of machine learning and statistics who can adapt theoretical models to an applied environment. The ideal candidate will have experience with models for natural language processing tasks.

A successful candidate will have a passion for clarity, be a self-starter comfortable with ambiguity, have strong attention to detail, be able to work in a fast-paced and entrepreneurial environment and be driven by a desire to innovate. Given the complex nature of the questions we are working on, the ideal candidate will be relentlessly curious and be able to/be interested in having the business conversations underlying the data.

About the role:

• Design and build ML solutions that capture business and customer insights from various sources and help drive business outcomes
• Collaborate with engineers and product managers to design and implement ML solutions
• Continuously interrogate, improve, and experiment with new and existing ML solutions at Axiom
• Collaborate with your peers and team members on challenges and technical building blocks
• Publish and present your work at internal and external scientific venues in the fields of ML

About you:

Required Qualifications:

• Bachelor’s Degree or equivalent experience
• 2+ years of demonstrated proficiency with data querying using SQL
• 2+ years of demonstrated data modeling techniques in R or Python
• 2+ years of demonstrated proficiency deploying reporting and analytics representing modeling outputs
• 1+ years of applied research experience
• 1+ years of experience defining research and development practices in an applied environment
• 1+ years of experience reviewing research papers, algorithms, and code
• Strong relationship-building and stakeholder-management skills
• High technical acumen and ability to communicate effectively with a variety of technical stakeholders
• Self-starter with strong sense of ownership, drive for results, and problem-solving skills

Preferred Qualifications:

• Masters or PhD in computer science, machine learning, mathematics, statistics, or another quantitative field
• Familiarity working with AWS big data processing technologies (S3, Sagemaker, Redshift, EMR, Spark)
• Familiarity in data modeling, ETL development, and data warehousing
• Knowledge of NLP and statistical models
• At least one record of publication in machine learning
• Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code review, source management, build processes, testing, and operations
• Familiarity with Jira, Confluence, and gitlab

Accommodation for Individuals with Disabilities: Upon request and consistent with applicable laws, Axiom will attempt to provide reasonable accommodations for individuals with disabilities who require an accommodation to participate in the application process. To request an accommodation to complete the application form, please contact us at [email protected] and include “Applicant Accommodation” in the subject line.