SentiSum
Management Consultant

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Role - Forward Deployed Management Consultant
Salary Range: £70k - £100k
SentiSum is the AI intelligence layer for customer experience. We turn customer voice from support tickets and calls into reviews and surveys, and then into a clear picture of what's driving cost, churn, and complaints. Some of the leading household consumer brands make sharper decisions about their customers using SentiSum.
But we don't really sell software. We sell the result: lower cost to serve, higher CSAT, fewer complaints. The platform is how we get there. The outcome is the point.
This role owns that outcome for a small number of strategic accounts. You sit alongside their team, get deep into their data, and turn it into decisions that move the numbers they care about. It's the work the best consultants do, except your recommendations actually ship, and you're there to see them land.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What you'll do
- Own two or three major accounts as their trusted partner.
- Get into their data, find what's driving cost, churn and complaints, and build the plan to fix it.
- Run the business reviews and working sessions that keep it moving.
- Drive adoption so the impact is real, not theoretical.
- Feed what these accounts need back into our product and AI roadmap.
You'll own the impact. You won't carry a quota.
Who you are
- You've done this kind of work before, as a consultant or in a client-facing delivery role where you owned outcomes for demanding enterprise clients.
- You're comfortable in data: not an engineer, but you can interrogate a dataset and turn it into a story.
- You can walk into a room with a client's senior leaders, run the conversation, and leave with a decision.
- You're curious about AI and can talk about it with substance.
- You'd rather go deep on a few accounts than manage a wide, shallow book.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Two backgrounds tend to work: a strategy consultant who got hands-on with data and product, or a technical delivery person with real client polish.
First six months
- Our top accounts see you as their most valuable partner.
- You've led at least one piece of work that moved a customer's numbers.
- The product team is building against needs you surfaced.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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