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Axiom Law

Flexible legal talent for in-house teams

Data Scientist Manager

Data SciencePosted on Nov 6
Full-timeBelfast, UKNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in a quantitative field is required.
  • Three or more years of SQL proficiency are required.
  • Two or more years of experience in data modeling, ETL development, data warehousing, and software engineering best practices, including version control, CI/CD, and object-oriented programming, are required.
  • Two or more years of hands-on experience in statistical analysis, including hypothesis testing and experimental design, using Python are required.
  • Two or more years of experience developing, validating, and optimizing machine learning models in Python are required.
  • Two or more years of experience researching and developing natural language processing projects, including at least one year incorporating large language models and Agentic AI, is required.
  • Two or more years of independently leading projects through the full lifecycle, from stakeholder requirements gathering and scoping through proof of concept, deployment, reporting, and dashboarding, are required.
  • The candidate must be able to build strong stakeholder relationships, communicate complex technical concepts to non-technical stakeholders, work autonomously, and balance multiple cross-functional priorities.

Responsibilities

  • Develop advanced AI, machine learning, and statistical solutions to capture business and customer insights and drive core operational outcomes.
  • Partner cross-functionally with engineers and product managers while providing technical and scientific guidance to team members.
  • Continuously interrogate, experiment with, and improve new and existing machine learning solutions across the platform.

Desired Qualifications

  • A master's or PhD in computer science, machine learning, mathematics, statistics, or another quantitative field is preferred.
  • Experience using Databricks, Snowflake, or similar cloud platforms for end-to-end machine learning projects, including collaborative notebook development, experiment tracking with MLflow, large-scale feature engineering, job orchestration and pipeline automation, dashboarding for stakeholder reporting, and production model deployment is preferred.
  • Experience with AWS big data processing technologies, including S3, EC2, APIs, and Spark, is preferred.
  • Familiarity with natural language processing and statistical models, Jira, Confluence, and GitLab is preferred.

About the Company

Axiom Law

Flexible legal talent for in-house teams

Axiom Law provides flexible legal talent to businesses, serving as an on-demand extension to in-house legal teams. It offers a pool of high-caliber lawyers who can handle everyday tasks or complex outside counsel work, enabling teams to work smarter and faster while controlling costs. The model works by deploying vetted legal professionals to client teams as needed, delivering integrated legal services rather than traditional project outsourcing. This approach differentiates Axiom Law from competitors through its scalable, cost-effective talent pool that matches the expertise of large law firms and its emphasis on closely collaborating with clients to understand their operations. The company aims to help businesses grow faster, reduce risk, and operate more efficiently by providing flexible, high-quality legal support without overspending.

Company size
1,001-5,000
Company stage
Growth Equity (Venture Capital)
Total funding
$28M
Headquarters
New York City, New York
Founded
2000

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