Data Scientist

Department/Division : Innovation

Ensure you read the information regarding this opportunity thoroughly before making an application.Duration : PermanentLocation : UKReports to : Data Science and AI Governance LeadType of Role : HybridReference Number : 7766The RoleReporting to our Data Science and AI Governance Lead, you will be part of a growing data solutions function that is passionate about innovation in the legal sector. You will develop data-driven solutions that optimise legal processes, enhance decision-making, and deliver predictive insights valued by our clients globally. You will leverage your deep technical knowledge to build novel tech solutions, create proof of concepts, and transition these prototypes into scalable, cloud-based applications. In this role, you will work closely with cross-functional teams - including legal professionals, IT experts, innovation specialists and external partners - communicating effectively with stakeholders and presenting focused insights. As a key member of our dynamic team, you will also help nurture a culture of continuous learning and innovation by upskilling in AI and data literacy, ensuring that we remain at the forefront of legal tech and AI advancements while growing together as a function.Key ResponsibilitiesInnovation : Conceptualise and develop innovative legal tech solutions utilising machine learning, artificial intelligence, and data analytics. Design and execute proof-of-concepts, moving successful prototypes into production-ready, cloud-based architectures.Data strategy : Collaborate with data governance and information security teams to establish robust data strategies, ensuring data integrity, compliance, and security in all legal tech initiatives. Apply your cloud computing expertise to build and manage scalable data pipelines and services.Collaboration : Partner with legal teams, data solutions teams, IT, and external experts to translate business needs into practical, high-impact data science solutions. Communicate insights and progress through clear, compelling technical presentations and client demos, ensuring alignment with business strategies.Research : Stay abreast of emerging technologies, trends, and methodologies in legal tech and data science. Identify opportunities to enhance internal processes and drive innovation by applying deep quantitative and machine learning expertise.Development : Liaise with internal and external development resources, overseeing project timelines, deliverables and quality of work, ensuring alignment of projects to the UKIME Innovation strategy. Utilise your proficiency in SQL, Python (and relevant libraries like OpenAI, Pandas, NumPy and PyTorch) to design, develop, and deploy end-to-end machine learning systems and ETL/ELT pipelines.Training and support : Enhance the AI and data literacy across the team by developing training materials and leading workshops or informal knowledge-sharing sessions.Experience and QualificationsExtensive experience in data science and analytics, backed by a strong quantitative background (e.g., Statistics, Mathematics, Engineering, Bioinformatics, Computer Science, or related fields).Proficiency in SQL, R, and Python, with deep expertise in Python libraries for data analysis (such as Pandas and NumPy) and machine learning frameworks (like PyTorch and TensorFlow).In-depth understanding of machine learning concepts—including optimisation, statistics, and algorithm development—with a proven track record in designing, developing, and deploying end-to-end machine learning systems in Python.Hands-on experience with data engineering tasks, including building ETL/ELT pipelines, containerisation using Docker, and API development.Familiarity with MLOps and LLMOps practices, along with applied experience using Large Language Models (e.g., OpenAI, Anthropic, Hugging Face) to enhance business solutions.Practical knowledge of interfacing tools such as Streamlit for building interactive data applications and dashboards.Solid experience with cloud computing platforms—ideally Microsoft Azure—including managing cloud infrastructure and services; relevant certifications (e.g., Azure Data Scientist Associate, Azure AI Engineer Associate) are a plus.Excellent collaboration skills, with a demonstrated ability to work effectively with cross-functional teams such as Front end Engineers, Software Engineers and Product Managers.Strong communication and problem-solving abilities, with the capacity to translate complex analytical insights for both technical and non-technical audiences.A proactive, curious mindset with a commitment to continuous learning and staying updated on emerging technologies and industry best practices.We welcome applications from candidates of all seniority levels.

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