Department / Division : Innovation
Duration : Permanent
Location : UK
Reports to : Data Science and AI Governance Lead
Direct Reports : None
Type of Role : Hybrid
Budget Responsibilities : No
Reference Number : 9105
The Role
Reporting 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 AI applications intelligent agents and API‑based solutions creating proof of concepts and transitioning these prototypes into scalable cloud‑based applications.
In this role your curiosity creativity and problem‑solving will be key. You will collaborate with cross‑functional teams across legal innovation IT 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 curiosity 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 Responsibilities
- Innovation: 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 cloud‑native production‑ready applications using modern AI frameworks such as the OpenAI Developer Kit.
- 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 AI solutions. Communicate insights and progress through clear compelling technical presentations and client demos ensuring alignment with business strategies.
- Research: Stay curious and abreast of emerging technologies trends and methodologies in legal tech and data science. Identify opportunities to enhance processes and drive innovation through data science quantitative analysis and applied machine learning. Actively experiment with emerging AI tools and models translating curiosity into tangible improvements across workflows and client‑facing solutions.
- 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 Python (and relevant libraries such as OpenAI LangChain LlamaIndex Pandas NumPy) to design develop and deploy end‑to‑end AI systems API integrations and ETL / ELT pipelines in the cloud.
- 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 Qualifications
- A deeply curious experimental and proactive mindset with a passion for exploring emerging AI capabilities and continuously learning to push the boundaries of innovation.
- Extensive 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 Python and SQL with deep expertise in Python libraries for data analysis (such as Pandas and NumPy) and hands‑on experience integrating LLM APIs (e.g. OpenAI Anthropic Hugging Face).
- Strong understanding of LLM concepts API orchestration and agentic workflows with a proven track record in designing developing and deploying AI solutions in Python.
- Hands‑on experience with data engineering tasks including building ETL / ELT pipelines containerisation (Docker) and API development and integration.
- Familiarity with MLOps and LLMOps practices and experience operationalising Large Language Models and generative AI to enhance business solutions.
- Practical knowledge of interfacing tools such as Streamlit or similar for building interactive AI and data applications.
- Solid experience with cloud computing platforms ideally Microsoft Azure including managing and deploying AI solutions in the cloud; 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.
Firm Profile
Across more than 80 countries Dentons helps you grow protect operate and finance your organisation by providing uniquely global and deeply local legal solutions. Polycentric purpose‑driven and committed to inclusion diversity equity and sustainability we focus on what matters most to you.
Inclusion and Diversity
We are committed to building an inclusive culture here at Dentons where our people can thrive regardless of their background or circumstance. As well as being the right thing to do it makes good business sense too. A richness of backgrounds experiences and perspectives helps us best serve our clients and the communities in which we operate. You can find out more about inclusion and diversity at Dentons here : Inclusion and Diversity .
Equal Opportunities
Dentons is committed to providing equal opportunities for all. We welcome applications from everyone including of any age ethnicity religion sex sexual orientation gender identity nationality neurodiversity disability or with parental or caring responsibilities. We also offer flexible working hours.
During the application process all applicants have the opportunity to tell us about any adjustments or support they require so they are able to perform at their best. Any information you share with us during the application process is treated in confidence.
NO AGENCIES PLEASE
If you are interested in applying for this position we welcome direct applications via our careers page but if you have any questions beforehand please email . Enquiries only please applications will not be accepted via email.
Please note that we will not accept unsolicited CVs sent to the business nor will we accept any associated terms of business.
If you have any questions about this or the role criteria please email .
Employment Type : Full Time
Experience : years
Vacancy : 1
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