At a Glance
- Tasks: Shape the future of legal services using data, AI, and automation.
- Company: Top-tier law firm known for innovation and technology adoption.
- Benefits: Competitive salary, professional development, and a chance to influence strategy.
- Other info: Join a dynamic team with excellent growth opportunities in a cutting-edge environment.
- Why this job: Be a pioneer in legal tech and make a real impact on the industry.
- Qualifications: Experience in data analytics, strong technical skills, and a collaborative mindset.
The predicted salary is between 60000 - 80000 £ per year.
An opportunity has arisen to join a highly regarded, top-tier law firm with an exceptional reputation across private capital, private wealth, M&A and disputes, and a reputation among industry peers as a leader in early adoption and embracing technology as means of gaining a competitive advantage. This Data Advisor role sits within a well-established legal technology function and offers the chance to shape how data and AI are used across the firm. The team is focused on developing innovative, technology-led solutions that enhance legal service delivery, and this position will play a key role in supporting those objectives. This is the first dedicated data specialist hire within the Knowledge & Data function and offers ownership and the opportunity to influence strategy from the outset. You’ll work closely with Partners, Knowledge Lawyers and Business Services teams to identify and deliver data-led improvements across the firm.
Key objectives and responsibilities:
- Identifying opportunities to use data, AI and automation to improve legal services
- Analysing data from across the firm (clients, matters, finance, knowledge systems) to generate insight
- Designing and building legal knowledge data structures and AI-ready datasets
- Developing dashboards and reports to track usage, impact and performance
- Translating complex analysis into clear, practical recommendations
- Supporting data governance, quality and wider data strategy initiatives
- Collaborating with stakeholders across IT, risk, finance and marketing
- Keeping up to date with emerging technologies and supporting innovation across the firm
Suitable candidate requirements:
- Experience in data, analytics or AI within a professional services or corporate environment
- Strong technical skills (e.g. Python, SQL, working with structured and unstructured data)
- Hands-on exposure to AI tools and concepts (e.g. large language models, data platforms)
- Experience building reports or dashboards (Power BI, Tableau or similar)
- Ability to communicate technical concepts clearly to non-technical audiences
- Strong stakeholder management and a collaborative working style
- A proactive, commercially minded approach with an interest in innovation
Senior Data Advisor in London employer: CB Resourcing Ltd
Join a prestigious top-tier law firm in London, renowned for its commitment to innovation and technology in the legal sector. As a Senior Data Advisor, you will be part of a dynamic team that values collaboration and creativity, offering you the chance to influence data strategy from the ground up. With a strong focus on employee growth and development, this role provides unique opportunities to shape the future of legal services through data and AI, all within a supportive and forward-thinking work culture.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Advisor in London
✨Get Involved in Data Science Meetups
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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 CB Resourcing Ltd.
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We think you need these skills to ace Senior Data Advisor in London
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 CB Resourcing 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 CB Resourcing 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 CB Resourcing 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 CB Resourcing 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.
