Good data scientists answer questions people are actually asking, then make sure the answer gets used.
Tell us what you want to build. A senior engineer sends back a scope and a fixed price within two business days, no obligation.
In short
The role
Skills
Process
Tell us the stack, the problem and how you want to work. We confirm fit on a short call.
We send profiles of pre-vetted senior engineers who match your stack and domain. You interview and choose.
Your engineers onboard and start delivering without a long recruiting cycle, with working software at the end of each sprint.
Engagement models
Add one or two senior engineers to your existing team to close a specific skill gap. Your leads, our specialists.
A small senior team working only on your roadmap, with a lead who owns delivery.
A scoped build such as a RAG system, a model or a pipeline, delivered to an agreed outcome.
Related work
Next step
Comparing options? Read what it costs to hire AI developers or contact us to discuss your project.
FAQ
A data scientist focuses on questions, analysis, statistics and experimentation. A machine learning engineer focuses on building and running models in production. Many projects need both, and we staff them together when that is the case.
Yes. Our data scientists work alongside BI and data engineering teams, and can deliver results into Power BI, Tableau or your own tools.
Access to the relevant tables or exports and a clear business question. A short discovery step confirms the data is fit for purpose.
Yes. Engagements can be a defined project, an engineer embedded in your team, or a dedicated team.
Our senior team is headquartered in Ahmedabad and works with clients across India, the UK and the USA with working-hours overlap.
Keep reading
Indicative ranges only get you so far. Tell us the specifics and get a scope and a fixed price in two business days.