About Linklaters 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 senior 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. Up to 2 years of experience in a data science or data analytics role, including internships or academic projects. 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. Our Benefits 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: Health & Wellbeing: 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 and CVs (direct or via agency) are only accepted online via the portal. Queries related to our roles must be directed to the relevant recruitment team and not the partners, practices or stakeholders ( lateralrecruitment@linklaters.com for legal roles or ukbtrecruitment@linklaters.com for business team roles ).