QuantSpark
Product Manager (AI, Consulting)

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About QuantSpark
At QuantSpark, we’re transforming how data and AI serve society. We combine the analytical discipline of strategy consulting with the pace and ownership of a scale-up. That means you’ll work directly on the problems that matter most - whether combating economic crime, modernising government services, or accelerating commercial growth for FTSE 100 companies.
We're a (roughly) 50-person analytics and AI consultancy in London. Here, you’ll compress years of traditional career progression into 2-3 years. From day one, you'll own delivery end-to-end, work directly with senior leadership and clients including our CEO, and build cross-industry AI expertise fast, in a collaborative, autonomous and highly skilled team.
We deliver work through four capabilities:
- AiRE (AI Rollout Engine): embedding AI tools into how a business runs
- QuantSpark Labs: short, sharp engagements that prove or kill an idea fast
- QuantSpark Transform: consulting-led change to how a business makes decisions, using data, AI and software as the lever
- QuantSpark Forge: enterprise data and AI solutions, built and embedded to solve problems that come up again and again
The role
Please note: we're not able to offer visa sponsorship for this role, so you'll need to have full right to work in the UK.
This role will focus on AI transformation work - helping clients adopt and embed AI tools into how they operate. You'll move across a portfolio of client engagements focused on AI adoption and transformation, some short and exploratory, some longer and more complex. If you've got consulting experience, or you've owned external client relationships before, you'll feel at home fast.
You'll own the roadmap, run discovery, manage senior client relationships, and prototype directly using AI tools to validate ideas. We're looking for someone who can run delivery with autonomy today, who will hold a project team together day to day.
What you'll do
- Own client engagements end to end: From discovery through to a working solution
- Run structured discovery: Map the current process, work out what data can be trusted and get to the problem
- Prototype: Build functional rapid prototypes yourself to validate an idea before any engineering time gets committed
- Protect scope without overriding expertise. Push back on scope creep and unrealistic timelines, but design solutions that respect the judgement of the people who know the client's business best, rather than centralising every decision just because an AI system can.
- Present recommendations to senior stakeholders
- Partner with engineering: Own delivery, sprint planning and prioritisation, and understand the technical trade-offs well enough to have an informed opinion
- Make sure what gets built gets adopted
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.
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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 need
- External client ownership: You've owned a client relationship (ideally in Consultancy)
- A solid understanding of AI: both in terms of being a builder yourself and understanding AI implementation at enterprise levels
- Comfort running short engagements: You can take a messy problem from first conversation to a working, tested solution inside a matter of weeks
- Confident, clear communication: You can hold a room of senior stakeholders and communicate with gravitas
- Consulting experience: This role is built around consulting-style delivery, so you'll need to have worked in a consulting (or similar) environment
- Comfort with pace and autonomy: You've thrived somewhere fast-moving and you tend to build the process you need rather than wait for someone to hand it to you
- Commercial acumen: You understand how a product decision affects a client's relationship with us
Useful, but not required
- Working knowledge of project tools like Jira, Monday or Confluence
- Comfort with SQL, or exposure to analytics tooling such as Google Analytics, Hotjar or Mixpanel-style platforms
- A product or project management qualification
- Experience with structured change management or adoption frameworks
What you'll love about QuantSpark
- A growth environment with real ownership, and trust to own complex client work where you can grow your skills quickly
- An extremely innovative environment, with exposure to cutting edge AI
- The freedom to bring new ideas and ways of working to a project, backed by a team that values initiative
- Client exposure which develops and hones practical, commercial skills fast
- A close-knit and highly collaborative team that works directly with our engineering and analytics colleagues on projects
- Growth that compounds - £6,000 a year per person budget for personal development and ringfenced learning time to pursue studies (if you choose to), Last year our team completed more than 30 training programmes and qualifications, from NVIDIA generative AI courses to Master's degrees in Data Science
- A grown-up, human team. We hire for craft, curiosity and candour, and we protect flexibility and mental health support to create an environment that lets people do good work and still have a life outside it


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Benefits
- Performance bonus
- Company profit share scheme
- EMI share options for everyone, regardless of seniority
- £6,000 annual training and development budget
- Up to 12% matched pension
- Comprehensive private healthcare through Vitality
- 25 days holiday plus 8 bank holidays, with the option to buy or sell up to 5 additional days
- Work from anywhere in the world for up to 1 month a year
- Enhanced maternity, paternity and shared parental leave
- Free annual Headspace subscription
- Cycle to work scheme
- Modern Blackfriars office (Southwark), with regular team socials, monthly QuantSpark Fridays and employee-led clubs
- Retail, travel, technology and fitness discounts via Vitality
- Regular tech talks, knowledge-sharing sessions and dedicated innovation time
Equal opportunities
We strongly believe that diversity of people and ideas is essential for the wellbeing and effectiveness of our team, and we are committed to creating a company where diversity in culture, experience, and background is truly valued. Diverse and inclusive teams bring different perspectives and ideas that help better serve our clients and help us all develop. QuantSpark is an equal opportunities employer and makes every effort to ensure that all potential employees are treated fairly and equally, regardless of their sex, sexual orientation, marital status, race, colour, nationality, ethnic or national origin, religion, age, or disability.
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