Embedded AI & Data-Science Talent
Rent a Data Scientist
You don't need another job req. You need a top-1% data scientist embedded in your team next week, on time-and-materials — and gone when the work is done.
Expert-Vetted top 1% · 100% JSS · production AI at a 5,000-employee US enterprise + a Big 4 firm
The Engagement Model
Headcount on Demand, Not Fixed-Scope MVPs
Time-and-materials: senior people who embed in your stand-ups, your repos and your roadmap — with the accountability of a firm, not a marketplace profile.
One expert or a full team
Start with a single embedded senior data scientist. Add an ML engineer, a data engineer, or a whole delivery squad when the roadmap grows — same contract, same week.
Time & materials, not fixed scope
You buy senior capacity, not a rigid statement of work. Priorities change? The team changes with them. You pay for time used, nothing else.
Scale up, scale down
Ramp from two days a week to full-time and back. No renegotiation, no minimum term theatrics — the engagement follows the work.
No payroll, no lock-in
No headcount approval, no benefits, no severance risk, no 90-day funnel. When the work is done, the engagement ends cleanly — with documentation and handover.
The Math
Renting Beats Hiring on the Numbers
A loaded senior full-time data scientist runs $218k–$329k in year one and takes 90+ days to hire. An embedded expert costs $66k–$156k and starts in days.
| Full-time hire | Rented data scientist | |
|---|---|---|
| Year-one cost | $218k – $329k loaded (salary, benefits, equity, recruiting, overhead) | $66k – $156k on T&M — pay only for time used |
| Time to start | 90+ days: req, funnel, interviews, notice period | Days: scoping call → embedded the same week |
| Risk | Mis-hire costs 6–12 months and severance | Scale down or stop any month |
| Seniority | Whoever your funnel surfaces | Expert-Vetted top 1%, production-proven |
Proof, Not Promises
Production AI in the Enterprise
Marketplaces sell résumé roulette. We bring receipts: Expert-Vetted top 1% on Upwork, a 100% Job Success Score, and production AI — NLP, LLM/RAG systems, agents, analytics — shipped at a 5,000-employee US enterprise and a Big 4 firm. We also build our own product, Super Chain, an AI intelligence platform for family and investment offices.
We operate from Hong Kong and London, embedding remotely into enterprise teams worldwide — follow-the-sun coverage across Asia and Europe.
FAQ
Renting a Data Scientist, Answered
What does it cost to rent a data scientist?
An embedded senior data scientist typically runs $66k–$156k per year of engagement on time-and-materials, billed only for the time you use. Compare that with $218k–$329k in year-one loaded cost (salary, benefits, equity, recruiting, overhead) for a full-time senior hire — and you can stop or scale the rental at any time.
Should I rent a data scientist or hire full-time?
Hire full-time when you have permanent, well-defined data-science workload and 90+ days to fill the seat. Rent when you need senior production experience now: a rented top-1% data scientist starts in days, carries no payroll or severance risk, and hands over cleanly when the work is done. Many clients rent first, then hire once the function is proven.
How fast can a rented data scientist start?
Days, not months. There is no job req, no recruiting funnel and no notice period — we scope the work on a call, match a vetted senior data scientist from our team, and they embed in your stand-ups and repos the same week. A typical corporate hiring cycle for the same seniority runs 90+ days.
Can I rent a fractional data science team instead of one person?
Yes. The same time-and-materials model covers a single embedded data scientist, a fractional team (for example a data scientist plus an ML engineer two days a week), or a full delivery squad. You scale headcount up or down month to month as the roadmap demands.
Rent, don't recruit.
Tell us what you're building — we'll match a top-1% data scientist who can start this week.