At a Glance
- Tasks: Lead data strategy projects and manage client relationships with confidence.
- Company: Boutique consulting firm specialising in data strategy for major UK organisations.
- Benefits: Competitive salary, private health cover, enhanced mental health support, and generous family policies.
- Other info: Be part of an emerging field and contribute to building innovative data solutions.
- Why this job: Join a pioneering team shaping the future of data economics and asset management.
- Qualifications: Experience in consulting or advisory roles with knowledge in data governance or strategy.
Most organisations are sitting on data they don't fully understand, can't fully trust, and aren't getting full value from. This is a specialist boutique that helps major organisations treat data as the strategic asset it is. Their work spans the full data strategy lifecycle: understanding which data matters most, assessing its health and maturity across the enterprise, diagnosing and fixing what's underperforming, building the governance and operating models to manage it properly, and quantifying the value it creates. Their clients are some of the UK's largest infrastructure, utilities, transport, and financial services organisations.
You'll own workstreams, produce high-quality analytical outputs, and manage day-to-day client relationships with confidence across a genuinely varied portfolio of data strategy work. Engagements vary — one project might involve assessing the maturity and condition of a client's data assets across a large enterprise; another might involve designing a data governance framework or building the investment case for a data improvement programme.
- Contribute to data maturity assessments, data condition reviews, governance framework design, and investment prioritisation work.
- Manage day-to-day client interactions — workshops, findings sessions, relationship-building at mid-level.
- Experience in a consulting, professional services, or advisory environment.
- Domain experience in at least one of: data governance, data quality or management, data strategy, operating model design, change and transformation, or financial/commercial analysis.
- Awareness of commercial context — scope, quality, and what good delivery looks like.
The field is genuinely emerging. Data Economics and Data Asset Management are disciplines being defined right now, and this firm is at the front of it. Joining at this stage means being part of building something, not inheriting a finished model. Maturity assessments, governance frameworks, condition diagnostics, investment cases — you'll build fluency across the full data strategy lifecycle, not just one narrow specialism.
Benchmarked against consulting market rates, with private health cover, enhanced mental health support, generous family policies, and access to professional financial advice.
London | Permanent, full time | Competitive salary + bonus
Data Consulting Manager in London employer: Nicholson Glover
Join a dynamic and innovative data strategy consultancy in London, where you will play a pivotal role in shaping the operational backbone of a high-value growth team. With a strong focus on employee development, a supportive hybrid work culture, and no sales pressure, this is an exceptional opportunity to contribute to pioneering projects while receiving direct mentorship from senior leadership. Enjoy competitive compensation, performance bonuses, and the chance to build something meaningful from the ground up in a collaborative environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Consulting Manager in London
✨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 Nicholson Glover!
✨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 Data Consulting Manager at Nicholson Glover.
✨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 Nicholson Glover.
✨Apply Directly through Our Website
When you find a suitable opening like Data Consulting Manager at Nicholson Glover, 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!
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 Nicholson Glover, 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 Nicholson Glover. 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 Nicholson Glover
✨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 Nicholson Glover!
✨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.
