At a Glance
- Tasks: Lead innovative AI and machine learning projects to optimise legal talent matchmaking.
- Company: Axiom, a leader in alternative legal services with a diverse global network.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Join a collaborative team that values innovation and performance.
- Why this job: Make a real impact by bridging data and business outcomes in a fast-paced environment.
- Qualifications: 3+ years of SQL experience and strong skills in statistical analysis and machine learning.
The predicted salary is between 63000 - 77000 £ per year.
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.
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.
About you:
- 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.
- 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.
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 benefits@axiomlaw.com and include “Applicant Accommodation” in the subject line.
Data Science, Manager employer: Axiom
Axiom is an exceptional employer for Energy Lawyers, offering a dynamic and flexible work environment that fosters collaboration across diverse sectors such as energy, utilities, and renewables. With a strong emphasis on employee growth, Axiom provides opportunities for professional development while ensuring a supportive culture that values practical, business-focused legal advice. Working remotely allows for a balanced lifestyle, making it an attractive choice for those seeking meaningful and rewarding employment in the energy sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science, Manager
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Axiom!
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✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Axiom.
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We think you need these skills to ace Data Science, Manager
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Axiom, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Axiom. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Axiom
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Axiom!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
