At a Glance
- Tasks: Leverage data to drive legal insights and manage risk through advanced analytics.
- Company: Join Ashurst Perkins Coie, a global leader in legal and risk advisory services.
- Benefits: Enjoy flexible work options, health benefits, and career advancement opportunities.
- Other info: Collaborative culture with on-the-job training and growth potential.
- Why this job: Be part of an innovative team shaping the future of data-driven legal solutions.
- Qualifications: 1-4 years in data governance or analytics; strong communication skills required.
The predicted salary is between 55000 - 65000 £ per year.
At Ashurst Perkins Coie, we’re helping shape the future economy. With a global team of more than 3,500 legal professionals across 52 offices, we partner with leading organisations to solve complex challenges across a diverse range of industries, with a distinct strength in technology, energy & infrastructure, and financial services. Our people work on market‑leading matters that drive innovation, growth, and transformation around the world. For Ashurst Perkins Coie, innovation is our tradition.
What makes Ashurst Perkins Coie a great place to work?
- Flexible work options – part‑time, working from home and additional leave
- Health and wellbeing benefits, gym membership, and discounted corporate health plans
- Career advancement – client secondment opportunities, global opportunities, and award‑winning Learning & Development programs
The Opportunity
Specialist (Senior Consultant) – Data & Analytics | Risk Advisory, London. Ashurst Perkins Coie Risk Advisory was created to respond to client demand and is designed to provide risk expertise that complements Ashurst Perkins Coie’s core legal services. With dedicated teams of legal and risk professionals working side by side, it brings together the technical expertise and critical thinking required to operationalise laws and regulations and help clients to achieve their goals. After successfully establishing the division in Australia in 2020, we launched our UK practice in October 2022 as part of our continued growth journey.
We provide the opportunity to be part of this exciting growth story, working with an expertise‑led team that has been consistently growing since its inception, and is dedicated to collaboration, diversity, transparency, and innovation. Our vision is to create a unique culture in the consulting market based around a flat, collaborative structure that offers everyone the opportunity to work closely with Directors, Partners, and clients on engagements. This means you have on‑the‑job training with your leaders, direct involvement with business development, clear recognition for your performance, and greater career opportunities.
About the Role
We support our clients by working in close collaboration with our legal counterparts and teams across the Risk Advisory practice, to focus on how data can be harnessed to deliver a best‑in‑class legal‑led advisory service. We combine our AI, analytics, data management and data governance expertise to design and deliver data‑driven legal and risk management solutions across a vast array of domains including forensics, investigations, AI, privacy, cybersecurity, regulation, and financial crime to name just a few.
In This Role, You Will:
- Modelling and advanced analytics, through leveraging strategic data assets and codifying business and regulatory rules to uncover, interpret, and communicate patterns in data, to drive business value and manage risk.
- Designing and developing data visualisation and reporting solutions, to facilitate legal and risk insights in investigations, disputes, regulatory breaches and more.
- Designing, implementing, and embedding data risk management and governance frameworks to demonstrate compliance to data management obligations and the adequate management of data risk.
- AI governance framework design and implementation, and documentation and operationalisation of AI policies, procedures, and standards.
- Performing data discovery and profiling exercises to inform legal and risk strategies, for example in the context of a large cyber breach.
This is a full‑time, permanent role based in our London office with hybrid working.
About You
- 1‑4 years’ experience in data governance, data management, analytics, or AI, ideally within consulting or a large organisation.
- Strong capability in developing data‑driven solutions and communicating with technical and non‑technical audiences.
- Interest or experience in non‑financial risk (e.g., regulation, privacy, cyber, financial crime).
- Comfortable working collaboratively across multidisciplinary teams and supporting multiple project streams.
- It is desirable if you’re experienced and comfortable with the common tools and frameworks in this space. For our analytics and AI work, we use a combination of Alteryx, SQL, PowerBI, Tableau and Python, with frequent use of our GenAI tools. Familiarity with key data management frameworks (e.g. DCAM, CDMC, DAMA‑DMBoK) is preferable, but no worries if you’re not an expert in these; experience with other common analytics tools and frameworks is also fine.
StudySmarter Expert Advice🤫
We think this is how you could land Specialist, Data and Analytics in London
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We think you need these skills to ace Specialist, Data and Analytics 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!
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How to prepare for a job interview at Ashurst Perkins Coie
✨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!
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✨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.
