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UiPath

Forward Deployed Scientist I

Manchester
Posted about 13 hours ago
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Life at UiPath

The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.

To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.

Could that be you?

Your mission

This is one of the most exciting problems in applied AI right now: take the cutting edge of machine learning, optimisation, and agentic systems, and make it work inside real businesses — not in a lab, but on live customer problems where the answer has to hold up commercially.

As a Forward Deployed Scientist I, in our Supply Chain & Retail business, you’ll work directly with some of the world’s biggest retailers and manufacturers on hard, high-stakes problems: demand forecasting, price and promotion optimisation, and supply-chain decisioning. You’ll own the science end-to-end — from understanding a customer’s messy reality to shipping something that changes how they operate.

And you won’t just deliver. What you learn on the front line feeds directly back into the products we build, so you’re shaping the capability the whole business runs on — not just solving one problem at a time.

What you'll do at UiPath

  • Own customer engagements end-to-end — frame the problem, build the solution, and drive it to real commercial impact, working directly alongside customer teams.
  • Apply and adapt frontier ML, forecasting, and optimisation techniques — and increasingly agentic AI — to problems that don’t have a textbook answer.
  • Turn what works on the ground into product direction, so each engagement makes our core capability better for the next customer.
  • Operate with genuine autonomy across a wide range of stakeholders — from data scientists to customer executives — and make the judgment calls that get things shipped.
  • Stay at the edge of what’s possible in applied AI, and bring it back to the team.

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.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It 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.

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Strong

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.

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Strong

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 bring to the team

  • Strong track record applying ML / data science to real-world commercial problems, ideally with depth in forecasting, optimisation, or supply-chain / pricing.
  • The instinct to own outcomes, not tasks — you take an ambiguous problem and drive it to a result rather than waiting to be told the next step.
  • Fluent programming (Python and SQL) and the ability to pick up whatever a problem demands.
  • Excellent communication — you can take a customer executive from confusion to confidence, and explain a complex model to a non-technical room.
  • Comfort with ambiguity, direct customer contact, and the pace of a team that ships.
  • Bonus: experience with agentic / LLM-based systems, or building ML in production.

Who thrives here

We’re looking for builders — smart, switched-on people who want to be handed a genuinely hard real-world challenge and go to town on it. If you want to work at the frontier of applied AI, own something that matters, and see your work land with real customers and shape a product, this is for you.

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Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.

Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.

We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.

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Skills

Machine Learning
Python
SQL
Data Science
Forecasting
Optimization
Supply Chain
Retail
Agentic AI
LLM
Problem Solving
Communication
Stakeholder Management
Product Development

Location

Manchester, England, United Kingdom

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