Location: London, UK
Weekly office requirement: Minimum 1 day per week – Wednesdays
Employment type: PermanentSeniority level: Mid-SeniorAt GWI we're always looking for extraordinary people who thrive on making an extraordinary impact. Right now we're looking for an Insight Manager to play a key role in our Insight Services team in London. If that's you, and making a difference gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary.
Sounds great, what will I be doing? 🤔
As our Insight Manager you’ll be passionate about uncovering data-driven stories that shape how the world’s biggest brands understand their audiences. In this role, you’ll turn GWI’s rich datasets into compelling insights, reports, and presentations that reveal the unexpected and make our clients’ strategies sharper.
A few things you'll be responsible for:
👉 Lead end-to-end insight delivery on client projects across regions.
👉 Analyse GWI datasets and bespoke research studies to surface trends and patterns that align with client objectives.
👉 Create high-quality deliverables that translate complex data into clear, compelling narratives — and present them confidently to clients and internal teams.
👉 Support the Vertical Lead on RFP responses, proposals, team operations, and mentoring junior analysts.
It's also fun; shaking things up is what working for GWI is all about. You'll need to be flexible, comfortable with continuous change, and working in a high-tempo environment.
What do I need to bring with me? 🧳
You'll need to be able to demonstrate the core skills this role requires. You don't have to tick all the boxes right away; the important thing is that you're willing to learn. Here's what the team will be looking for in you:
👉 A talent for data storytelling — translating numbers into narratives and surfacing insights that challenge assumptions or reveal something new.
👉 Exceptional attention to detail and a flair for writing clear, engaging content.
👉 Proficiency in Microsoft Office and Google Slides; experience with survey platforms or analytics tools is a plus.
👉 Strong organisational and communication skills — comfortable running client presentations, managing multiple workstreams, and mentoring junior team members.
What We Offer 🧘
At GWI, you’ll find meaningful work, visible impact, and a culture that empowers you to do your best. Our package includes:
- Time to recharge – 25 days’ annual leave, plus office closures over the holidays.
- Health & wellbeing – Health cash plan, enhanced family benefits, carer days, and mental health support.
- Financial benefits – Competitive salary, 4% pension matching, and recognition programs that celebrate success.
- Flexibility & balance – Flexitime, early Friday finishes, hybrid and remote options, plus a “work from home” budget.
- Career growth – Accredited learning, leadership development, and global career mobility.
- Community & impact – DE&I initiatives, volunteering opportunities, donation matching, and payroll giving.
Put all that together and GWI is the friendliest, most fulfilling place any of us has ever worked.
Diversity, Equity & Inclusion 🫶
Diversity is fundamental to who we are—as a data company and as a workplace. Our data reflects global realities, and so must our teams. We strive to build a workforce as diverse and inclusive as the insights we deliver.
As a Disability Confident employer, we welcome applications from disabled candidates and are committed to making adjustments throughout the hiring process—whether that's extra time, materials in advance or a different format, breaks, an adjusted interview format, assistive tools, or flexible scheduling. We're happy to discuss whatever would work best for you.
We actively encourage applications from underrepresented and marginalised communities.
At GWI, you'll find a place to contribute meaningfully, grow professionally, and belong fully.
#li-hybrid
#LI-NIKOSSS1
StudySmarter Expert Advice🤫
We think this is how you could land Insight Lead 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 GWI!
✨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 Insight Lead at GWI.
✨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 GWI.
✨Apply Directly through Our Website
When you find a suitable opening like Insight Lead at GWI, 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 GWI, 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 GWI. 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 GWI
✨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 GWI!
✨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.
