Rank 3 of 7
Data Science UA
What is Data Science UA?
Data Science UA arrives on an implementation shortlist by a different road from the other firms here. Besides delivering AI work, it runs a recruitment business, so a buyer moving from pilot to production can ask it to build the system, to lend engineers, or to find permanent hires who will run it later.
In this article
Data Science UA for teams that need engineers to carry a pilot forward
Data Science UA arrives on an implementation shortlist by a different road from the other firms here. Besides delivering AI work, it runs a recruitment business, so a buyer moving from pilot to production can ask it to build the system, to lend engineers, or to find permanent hires who will run it later. Data science and AI are the firm's stated field1; the homepage counts nine years of experience in it2, and a footer line dates the business to 20163.
Community building is part of its story: the about page talks of creating an Eastern European data science scene4, which started when Kyiv hosted its first conference on the subject in 20165.
Three ways to buy
Its capability list has three headings, of which recruitment of global talent is the one that sets it apart, with AI development and digital advisory alongside6.
1. **Consulting** starts by analysing requirements in depth7; project scoping and cost estimates are produced in detail at the same stage8. 2. **Development** can mean a finished solution built by the firm or its engineers working on the client's side under an outstaffing deal9. 3. **Recruitment** covers any IT role in any country10, and the firm markets the process as carrying no risk for the hirer11.
For the stage this guide covers, outstaffing is the distinctive choice. A company that has proved a use case and now needs extra engineers to harden it can add people without signing a full project contract9. One that prefers to hand over the whole build can take the end to end route instead9.
Adoption and rhythm
Two details touch on the human side of a rollout. Training for the client's team is listed as part of consulting12, which matters once a system leaves the pilot group and lands on ordinary desks. In a client testimonial on the homepage, the firm is praised for status calls every week to check on results13. How long support lasts after go-live, and on what terms, is not publicly stated on the pages we opened.
People and scale
The about page credits Aleksandra Boguslavskaya with founding the company and leading it as CEO14, and gives Oleg Boguslavskyi a share of ownership plus the CTO post15. A figure of 70 plus in-house experts, all dedicated, appears on the homepage16, alongside an ecosystem the firm puts at over 30,000 AI engineers17. One testimonial credits it with what the client calls the best AI talent pool in Ukraine18.
London does not come up anywhere on the firm's own site19, and the one outside listing that might have shown a UK address refused to load for us20. Enquiries are routed to a .com.ua domain, data-science.com.ua, which differs from the site's own address21. UK buyers who need a local contracting entity should ask the firm directly.
Delivered work
None of the published cases names its client. The first is a platform for sales outreach in the United States, intended to accelerate selling and lower risk22. The second, for a British marketing company, is a migration onto Amazon's managed services that the firm says brought costs down by more than a fifth23. In the third, the firm built a safety platform that watches conditions live, twenty-four hours a day24. Sector coverage visible on the site includes pharmaceuticals and online and physical retail25,26, plus a homepage block on energy27.
The UK migration case is the closest to this guide's subject, since moving a platform onto managed cloud services is typical of the work between a functioning prototype and a dependable production system23.
Pricing
On cost, the homepage offers one word of guidance: its pricing models are flexible28. A rate card, day rates or package prices are not publicly stated on the pages we opened; estimates are produced during scoping8.
Security
Our saved copies of the site showed no certificate, whether ISO, SOC 2 or any other29. Any buyer whose rollout will handle personal or regulated data should obtain the firm's security policies in writing before work starts.
Strengths for the pilot to production stage
1. A choice between a full build and outstaffed engineers9, plus recruitment for permanent roles10. 2. Client team training inside the consulting offer12. 3. A technical community that dates back to 20163,5.
Limits a buyer should test
1. Certificates did not appear in our saved pages29. 2. Its own site says nothing of a UK office19. 3. The case studies leave clients unnamed22,23,24. 4. The homepage links to a Clutch profile we did not retrieve30.
How it compares with Nexus
Data Science UA sells capacity, in the form of engineers on a project or embedded with the client9. Nexus sells a role automated, priced per role, with day rates and consultant time absent from the bill, and its experienced consultants support the rollout under a software pricing model31. On security, the question that the saved Data Science UA pages leave open29 is already answered at Nexus, which holds GDPR, ISO 27001, ISO 42001 and SOC 2 Type 231. A buyer whose main shortage is people will find Data Science UA practical. A buyer who wants an agent running on live work four weeks after the proof of concept begins, inside a trial of three months31, will find Nexus the better fit.