Intrinsic Talent
Data and AI Engineer

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Mid-Level Data/AI Engineer
Location: Farringdon, London (hybrid, one to two days a week in the office)
I'm working with a growing fintech and AI consultancy, delivering data and AI engineering projects for some serious names in financial services, who are hiring a mid-level engineer to join the team and grow into more senior responsibility as they scale.
What you'd be doing:
- Building and maintaining data pipelines and AI/ML systems for client projects
- Working with Python day to day, alongside LLM APIs for real client use cases
- Working directly with senior engineers on production-grade, compliance-aware AI outputs, not toy projects
- Getting exposure to the full lifecycle, from data engineering through to deployed AI systems that clients actually rely on
- Having a real voice in technical decisions, even at this level
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 we're looking for:
- Two to four years' experience in data engineering and/or applied AI/ML
- Solid, practical Python experience in a work environment
- Some experience working with LLM APIs
- Comfortable with production data pipelines; exposure to SQL, cloud infrastructure (Azure) or backend development is a bonus
- Curious, self-directed, and keen to grow quickly; this is a team that will invest in you
- Financial services exposure is useful but not essential; the right mindset matters more


Get help with your application
Your very own career expert that helps elevate your application to the next level.
What's in it for you:
- Equity, a genuine stake even at mid-level, not just for senior hires
- Real flexibility; this team is trusted to work how suits them, not clocked in and out
- Fast growth potential: join a small team early and take on more scope quickly
- Direct access to senior engineers and leadership, no getting lost in a big org
“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
Skills
Location