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# Data Scientist, Manager

- **Company:** Axiom
- **Location:** Belfast, United Kingdom
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Confluence, JIRA, Big Data, Continuous Integration, Extract Transform Load (ETL), Data Warehousing, Database Queries, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Natural Language Processing, Object-Oriented Software Development, Software Construction, Feature Engineering, Large Language Models, Snowflake, Apache Spark, Generative AI, Agentic-AI, Gitlab, Build Management, Information Technology, Machine Learning Operations, Software Version Control, Databricks
- **Published:** November 7, 2026
- **Apply:** https://startup.jobs/data-science-manager-axiom-4-10703436

## About the Role

* 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.

## Description

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