Data Scientist - Legal - London/Hybrid - TWE41665

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

Job summary

A leading legal firm is seeking a Data Scientist to join their innovative team in London. You will leverage your data science skills to transform legal services through data analysis and machine learning. This role requires at least 4-5 years of experience with a strong background in Python and SQL, along with proficiency in Microsoft Azure tools. If you are naturally curious and enjoy collaborative work, this is the ideal opportunity for you.

Benefits

Forward-thinking culture

Encouraged open communication

Qualifications

• 4-5 years of hands-on experience in data science.
• Skilled in Python and SQL for data manipulation.
• Experience with Microsoft Azure tools is required.

Responsibilities

• Analyse and interpret complex datasets.
• Develop machine learning models for business use cases.
• Collaborate with stakeholders for analytical solutions.

Skills

Data analysis

Machine learning

Python programming

SQL querying

Microsoft Azure

Education

Degree in Computer Science or Engineering

Tools

Azure Notebooks

Azure DevOps

Job description

Job Description

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 currently modernising their 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 is celebrated, and everyone is encouraged to share their voice openly

If you're interested in the below opportunity, click Apply or send your CV to [e-mail]