Data Scientist - Legal - London/Hybrid - TWE41665

ZipRecruiter; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading global law firm in London seeks a Data Scientist to analyze complex datasets and develop machine learning models. Join a collaborative environment where innovative data solutions transform legal services. Ideal candidates have 4-5 years experience in data science, proficiency in Python and SQL, and are comfortable with Azure tools. Excellent culture promoting open communication and creativity.

Benefits

Open communication culture

Innovative working environment

Qualifications

• 4-5 years of hands-on experience applying data science techniques.
• Skilled in Python programming and SQL.
• Comfortable with Microsoft Azure tools.

Responsibilities

• Analyse and interpret complex datasets.
• Develop and implement machine learning models.
• Collaborate closely with stakeholders to understand requirements.

Skills

Data analysis

Machine learning

Python programming

SQL

Azure tools

Effective communication

Education

Degree in Computer Science or related discipline

Tools

Azure Notebooks

Azure DevOps

Job description

Overview

twentyAI are partnering with a globally renowned law firm currently undergoing a major digital and data transformation. With a deep-rooted legacy in legal excellence and a strong global footprint, the firm is modernising its data capability to transform how they deliver services, pitch to clients, price work, and improve operational performance. This is a high-impact role for a curious, hands-on Data Scientist who wants to apply their skills in a fast-evolving environment where data science meets real-world legal practice.

You’ll join a collaborative team where engineers, lawyers, and data professionals work side by side to solve practical problems using smart, scalable solutions.

Responsibilities

• Analyse and interpret complex datasets to identify trends and patterns.
• Develop and implement machine learning models to support various business use cases.
• Collaborate closely with stakeholders to understand requirements and translate them into analytical solutions.
• Work closely with Data Engineers to build and maintain ML pipelines in an Azure-based architecture (DevOps, Notebooks, Git).
• Contribute to the continuous evaluation of model performance and ensure adherence to compliance, ethical standards, and regulatory requirements.
• Participate in team discussions and knowledge exchange to foster a culture of learning and collective problem-solving.

Requirements

• 4-5 years of hands-on experience applying data science techniques in a professional environment.
• Skilled in Python programming and proficient with querying and manipulating data using SQL.
• Comfortable working within Microsoft Azure tools, especially Azure Notebooks and Azure DevOps or related platforms.
• Degree in Computer Science, Engineering, or a related discipline — with a strong engineering mindset.
• Knowledge of financial instruments such as bonds or equities is advantageous.
• Naturally curious and pragmatic, you are keen on experimenting with early-stage solutions and iterating rapidly.
• Effective communicator who can engage easily with both technical teams and business stakeholders.

Why join?

• Be part of a forward-thinking legal organisation using data to transform how legal services are delivered and valued.
• Excellent culture, where ideas are celebrated, and everyone is encouraged to share their voice openly.

If you\'re interested in the below opportunity, please apply or send your CV to [e-mail].