Data Scientist, Manager

Axiom is looking for a Data Scientist, Manager to define and build innovative AI, machine learning, and statistical solutions that optimize our bespoke legal talent matchmaking platform. Working in a fast-paced environment where most matches are currently done manually, you will bridge the gap between complex data and business outcomes-challenging the status quo to improve Client, Talent, and internal user experiences.

Specifically, This Role Will

• Design & Build: Develop advanced AI, ML, and statistical solutions that capture business/customer insights and drive core operational outcomes.

• Collaborate & Guide: Partner cross-functionally with engineers and product managers while providing technical and scientific guidance to team members.

• Iterate & Experiment: Continuously interrogate, experiment with, and improve new and existing ML solutions across the platform., * Familiarity with NLP and statistical models, Jira, Confluence, and GitLab.
• Axiom is an equal opportunity employer and committed to a diverse workforce.

• Based in Northern Ireland

• Our People Reflect Our Values! We are:
• Innovative: We generate new, creative, and disruptive ideas to change the status quo in their fields
• Performance Oriented: We possess an unbelievable work ethic and unwavering commitment to quality
• Cross-functionally collaborative: We bring others together, creating strong relationships across lines of difference
• Data & Fact Based: We seek to understand and learn from information and perspectives everywhere
• Customer First: We aim to delight our clients and legal talent at every opportunity

• Technical & Data Fundamentals: Bachelor’s degree in a quantitative field; 3+ years of SQL proficiency; and 2+ years of experience in data modeling, ETL development, data warehousing, and software engineering best practices (version control, CI/CD, object-oriented programming).

• Statistical & Machine Learning Modeling: 2+ years of hands-on experience in statistical analysis (hypothesis testing, experimental design) in Python, and machine learning modeling (development, validation, optimization in Python).

• NLP & Generative AI Expertise: 2+ years researching and developing Natural Language processing projects, including 1+ year incorporating Large Language Models and Agentic AI.

• End-to-End Project Ownership: 2+ years independently leading projects through the full lifecycle-from stakeholder requirement gathering and scoping through proof-of-concept to fully deployed solutions, reporting, and dashboarding.

• Stakeholder Management & Autonomy: Strong relationship-building skills with high technical acumen, capable of communicating complex technical concepts to non-technical stakeholders and working autonomously while balancing multiple cross-functional priorities.

Preferred Qualifications

• Master’s or PhD in computer science, machine learning, mathematics, statistics, or another quantitative field.

• Experience working with Databricks, Snowflake or similar cloud platforms for end-to-end machine learning projects, including collaborative notebook development, experiment tracking with MLflow, feature engineering at scale, job orchestration and pipeline automation, dashboarding for stakeholder reporting, and production model deployment.

• Experience working with AWS big data processing technologies, including S3, EC2s, APIs and Spark.

About Axiom

Axiom is a recognized leader in the business of law and defined the alternative legal services category more than 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 matched to engagements with Axiom’s prestigious clients using a bespoke technology platform. While Axiom has made progress automating this matchmaking process using machine learning, the vast majority of matches are still made manually by Axiom staff.