Data Scientist

Linklaters is a global law firm, with 31 offices in 21 countries worldwide.

Linklaters is a people business. Being best in class in the eyes of our clients means that our people must be exceptional.

We look not only for brilliant minds, but for people who will thrive in our environment: people who love working collaboratively and demonstrate the innovative, efficient, agile, entrepreneurial, and responsible mind-set we aim to bring to every interaction.

Ours is an environment of outperformance. We achieve this not with targets and incentives, but by fostering a positive, supportive, fair, and open atmosphere.

We respect and value difference but insist on inclusivity. We celebrate all aspects of diversity and challenge any form of bias. This is vital to our ability to work as one team, with a common goal.

The Role

You will play a critical role in developing data-driven solutions to solve complex challenges within the legal sector, delivering real business value to Linklaters and its clients.

Key responsibilities:

• Assist in developing, testing, and refining data science models using established methods such as classification, regression, clustering, and natural language processing.
• Work closely with other data scientists, legal practice teams, and business stakeholders to understand requirements and contribute to use case development.
• Support the preparation and cleaning of structured and unstructured data for analysis using Python and SQL.
• Contribute to exploratory data analysis (EDA) to uncover patterns and trends relevant to legal and business questions.
• Develop well-documented Python scripts and notebooks for reproducible analysis and insights.
• Help build and test machine learning pipelines in alignment with the firm's Azure-based architecture.
• Use Power BI or other data visualisation tools to support storytelling and insight delivery.
• Follow best practices in code versioning using Azure DevOps and assist in maintaining collaborative code repositories.
• Support the testing and monitoring of deployed models to ensure performance and compliance with ethical and legal standards.
• Participate in knowledge sharing, training, and documentation to support data literacy across the firm.

About You

Educational Background & Professional Experience:

• Bachelor's or master's degree in a quantitative field such as Data Science, Computer Science, Mathematics, Statistics, or Engineering.
• 4+ years of experience in a data science.
• Experience working in environments with sensitive data or professional services is a plus but not essential.
• Ability to break down complex technical concepts for non-technical audiences.
• Strong collaboration and communication skills, with an eagerness to learn and contribute within a team setting.

Technical Experience:

• Proficient in Python for data analysis, including use of key libraries (e.g. Pandas, NumPy, Scikit-learn, Matplotlib).
• Good working knowledge of SQL for querying and transforming structured data.
• Basic understanding of common machine learning techniques and ability to implement them in Python.
• Exposure to Azure ecosystem (e.g., Azure Machine Learning, Azure Blob Storage, Azure Synapse, or Databricks on Azure) is desirable.
• Familiarity with version control and collaborative coding workflows (e.g., Git, Azure DevOps).
• Experience with Power BI or similar tools to produce interactive dashboards or visualisations.
• Understanding of responsible AI principles, including transparency and model explainability, is a plus.

Joining Team Linklaters will see you qualify for a range of benefits designed to reward the vital contribution you'll be making to our success. These include:

• Private Medical Insurance
• Free in-house fitness centre and subsidised health club memberships
• Free onsite GP service and periodic health assessments

Finance:

• Pension and flexible savings options
• Income protection and life assurance
• Mortgage advice and will-writing services

Family & Lifestyle:

• Electric car and cycle to work schemes
• Emergency family care
• Additional holiday/birthday leave
• Maternity/paternity/shared parental leave
• Travel insurance and season ticket loan
• Option to join sports and social clubs, as well as our employee networks groups (such as our Gender Equality Network, With Pride, or Social Mobility Networks)

If you think this role would suit you, please click apply below. We look forward to hearing from you!

Technical Skills

This list of duties and responsibilities above is not exhaustive. It is intended to describe the general content of, and requirements for, the performance of this job. As such, the role may also include the undertaking of additional tasks as required.

Application Policy

Applications are only accepted online via the portal. Any queries or profiles must be directed to the lateral recruitment team on: and not the practice or partners.

About Us

This is the place where talent meets opportunity and where passion meets purpose.

At Linklaters, the work we do means carving a path through unexplored territory, working on complex legal matters, across jurisdictions and borders and providing outstanding service and confidence to our clients.

Having the vision to see things differently and the determination to deliver excellence, every time. That's what makes us who we are. You can see your true potential connecting with dynamic colleagues all over the world, united by purpose and shared values and working together as one inclusive, collaborative team.

With second to none training and support, this is the place where you meet your future.

This is Linklaters.

Job Offer Scams

Be alert to fictitious job opportunity posts and offers of employment which claim to be in the name of Linklaters. We have been made aware of various recruitment-related scams which ask for upfront payments, for example, for office equipment and promise start up bonuses and reimbursement in return for such payments. These scams often involve the use of email addresses similar to a genuine domain name. Genuine emails from Linklaters only use the domain of . We will never ask you to make payments for office equipment or otherwise as part of our recruitment process. If you are in doubt about a job opportunity that appears to relate to our firm, please get in touch using the contact details on our careers website at .

Pre-joiner Screening

In the event that we make an offer to you, and where local legislation permits, we will conduct pre-engagement screening checks that may include but are not limited to your professional and academic qualifications, your eligibility to work in the relevant jurisdiction, any criminal records, your financial stability and references from previous employers. Your offer will be subject to the successful completion of these checks which will be initiated following your consent.

As a responsible business, it is important that we represent the diversity of our people, our clients and our communities. We know that diversity makes us a better law firm and helps us attract the best talent, drive innovation with diversity of thought, and deliver the best experience to everyone who comes into contact with us. We recruit on the basis of merit, irrespective of age, disability, gender, gender identity, race or ethnicity, marital status, religion, sex, sexual orientation or any other status protected by the laws or regulations in the locations where we operate.

Selection decisions, and the reasons for those decisions, are recorded at each stage of the selection process. Selection criteria and, where appropriate, technical skills tests are in place to measure an individual's ability for the safe and effective performance of a job. Those involved in recruitment and selection decisions and processes are also provided with guidance on diversity issues. If you require reasonable adjustments to be made during the selection process, please talk to a member of the recruitment team so that any required adjustments can be made in advance.Specific experience requirements advertised on a role do not intend to preclude applications from candidates who may have more or less experience. Our intention is only to indicate a guideline as to the necessary skills for the role as described.