Data Science Team Lead

Linklaters is a global law firm, providing legal services in 20 countries and through 30 offices. 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.

Your Role

As Linklaters continues to pioneer a data-driven approach within the legal sector, the significance of AI and Machine Learning in our operations is ever-increasing. We are leveraging these technologies to enhance our legal services, improve client experiences, and maintain our competitive edge. This role is crucial in driving our AI/ML initiatives, as it involves not only technical expertise but also a deep understanding of how these technologies can be applied innovatively in a legal context. Your contributions will be pivotal in shaping the firm's future in AI, impacting both internal processes and client outcomes.

• Analyse large structured & unstructured datasets to drive meaningful insights for business functions and leadership teams.
• Extract and index unstructured data from legal documents using Python packages.
• Lead the team's delivery across a portfolio of projects spanning predictive modelling, time-series forecasting, experimentation and causal inference, optimisation, and LLM/RAG/GenAI applications — selecting fit-for-purpose techniques (classical ML by default, deep learning and LLMs where genuinely warranted) — with clear business value cases and measured impact.
• Develop, test and deploy deep learning models to improve document extraction accuracy and document drafting efficiency.
• Partner with Data Engineering team to design and maintain scalable data pipelines across the firm's Databricks Lakehouse platform.
• Collaborate with legal, business, Technology teams and clients to understand data requirements, translate legal requirements into technical solutions, and develop and build appropriate data solutions.
• Horizon scan to keep abreast of technological advancements and evolving tools and techniques.
• Provide daily tactical guidance to the data science team, establishing coding standards, architectural patterns, and delivery methodologies.
• Serve as technical authority for AI/ML implementations including agentic workflows, with accountability for codebase quality, scalability, and maintainability.
• Act as designated cover for senior data leadership during periods of absence, operating at strategic level to maintain operational and strategic continuity.
• Operate as a revenue-enabler through direct contribution to billable client work, not solely as an internal support function.
• Perform data engineering functions during resource constraints while maintaining full performance in primary data science responsibilities.
• Maintain hands-on contribution to critical codebase modules including contract analysis and risk factor functionality.
• Manage data scientists and provide technical mentorship and code review across the wider data engineering team, contributing to technical capability development and demonstrating leadership reach beyond direct reporting lines.

About You

• Minimum 8 years’ experience in data science with a record of delivering data projects.
• Experience managing and mentoring junior data scientists.
• Masters or PhD in Computer Science, Data Science, or AI/ML applications.
• Advanced proficiency in TensorFlow, PyTorch, Scikit-Learn, NLTK, SpaCY, Gensim, or FastText.
• Demonstrated experience in deploying deep learning models in a regulated industry and in a production environment.
• Leadership experience in data science projects.

Our Benefits

• Private Medical Insurance
• Free in-house fitness centre and subsidised health club memberships
• Free onsite GP service and periodic health assessments
• Pension and flexible savings options
• Income protection and life assurance
• Mortgage advice and will-writing services
• 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)

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: lateralrecruitment@linklaters.com and not the practice or partners.

Why Linklaters

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 “@linklaters.com”. 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 www.linklaters.com/careers.

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.

Equal Opportunities

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.