REACH Energy
AI Product Engineer

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AI Product Engineer
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.
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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.
Qualifications


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Your very own career expert that helps elevate your application to the next level.
- Strong analytical skills to interpret complex data, evaluate model performance, and support data-driven decision-making.
- Product engineering experience, including end-to-end AI product development, system integration, and lifecycle management.
- Product design skills to shape user-centric AI solutions, define specifications, and align features with business needs.
- Research and Development (R&D) capabilities to explore emerging AI technologies, test new approaches, and validate innovative concepts.
- Clear and effective communication skills for collaborating with technical and non-technical stakeholders and documenting technical work.
- Proficiency in relevant programming languages (such as Python), AI/ML frameworks, and cloud platforms commonly used in production environments.
- Bachelor’s degree or higher in Engineering, Computer Science, Data Science, or a related technical field, or equivalent practical experience.
- Experience in the energy or industrial sector, or interest in applying AI to operational efficiency and safety, is an advantage.
- Ability to work independently in a remote setting, manage multiple priorities, and deliver high-quality work on schedule.
“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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