Applied Computing
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About Applied Computing
Applied Computing was founded in 2024 to build Orbital, a physics-informed foundation model for energy operations. We're live across oil and gas and petrochemicals, working towards our mission: sustainable abundance for a growing planet.
The hydrocarbon industry keeps the world running. But its complexity has left operators tied to legacy systems, making critical decisions on less than 10% of available data. We built Orbital to change that. It's a foundation model built specifically for energy that lets companies use AI at scale, harnessing all of their operational data and optimising in real time for any metric. Decisions get faster, operations get safer, and carbon intensity falls.
We've raised over $32 million, including one of the largest seed rounds for an AI company in the UK. We're just getting started.
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.
About This Application
We're growing fast, and we know great people don't always arrive at the same time as the perfect job ad. If you're excited about what we're building but can't find an open position that matches your skills and experience, we'd still love to hear from you.
Your application will join our talent pool, and we'll review it whenever a relevant opportunity opens up.
Please note: we're currently not accepting applications for internships. We'll update this page as soon as that changes.
Who This Is For
- Experienced professionals across AI research, engineering, product, and commercial roles
- People with a background in energy, oil and gas, petrochemicals, or heavy industry


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What to Include
- Your CV
- A short note on the type of role or team you're interested in, and why Applied Computing
- Your preferred location and working arrangement
How We Work
- We value clarity, speed, and ownership over perfect frameworks
- Pragmatism beats dogma; we adapt to reality
- We work closely across research, engineering, product, and customers
- We spend real time understanding the industry we're building for
What Happens Next
- We'll review your profile and keep it on file for future opportunities
- If there's a potential match, we'll reach out to discuss next steps
- Because we receive a high number of open applications, we may not be able to reply to everyone individually, but every profile is considered when new roles open
“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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