At a Glance
- Tasks: Shape data strategy and drive AI adoption in a leading law firm.
- Company: Join a top UK law firm at the forefront of Lawtech innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career development.
- Why this job: Be a pioneer in legal tech, transforming services with data and AI.
- Qualifications: 5+ years in data, analytics, or AI; strong technical skills required.
The predicted salary is between 60000 - 80000 £ per year.
Our client, a leading UK law firm is seeking a Senior Data Adviser to join its innovative Lawtech function. This is a newly created role and the first dedicated data specialist within the team, offering a unique opportunity to shape data strategy, influence AI adoption, and drive transformation across the business. You will work at the forefront of data, AI and legal technology, helping deliver smarter, more efficient legal services and building scalable, data-driven solutions.
Key Responsibilities
- Data & Innovation: Identify opportunities to improve legal service delivery through data, AI and automation. Analyse firm‑wide datasets (financial, client, operational, knowledge) to uncover insights. Translate business challenges into data‑led solutions.
- AI & Knowledge Development: Structure and develop AI‑ready knowledge assets and repositories. Support development of reusable datasets, taxonomies and knowledge frameworks. Enable scalable AI‑assisted services and products.
- Analytics & Reporting: Build dashboards and visualisations to track adoption and impact. Deliver insight and recommendations to both technical and non-technical stakeholders.
- Data Strategy & Governance: Support implementation of data governance and data quality frameworks. Contribute to firm‑wide data strategy aligned with innovation goals.
- Collaboration & Leadership: Work cross‑functionally with legal, IT, finance and business teams. Evaluate new technologies and tools. Support and mentor colleagues within a collaborative environment.
About You
- 5+ years' experience in data, analytics, AI or machine learning.
- Strong technical skills (Python, SQL, data pipelines).
- Experience with AI technologies (e.g. LLMs, vector databases, Azure/OpenAI tools).
- Proven ability to deliver insights via tools like Power BI or Tableau.
- Strong stakeholder management and communication skills.
- Commercial mindset with a passion for innovation.
Desirable
- Experience in legal or professional services.
- Exposure to cloud platforms (e.g. Azure AI).
- Knowledge of legal tech or AI‑enabled legal processes.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Adviser
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like DGH Recruitment Ltd!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Adviser at DGH Recruitment Ltd.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like DGH Recruitment Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Adviser at DGH Recruitment Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Adviser
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at DGH Recruitment Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at DGH Recruitment Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at DGH Recruitment Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at DGH Recruitment Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
