Index.dev vs Data Science UA: full comparison for 2026
Quick verdict
Index.dev (4.2/5) edges ahead of Data Science UA (3.8/5) overall. Index.dev is the better choice for startups that want a 30-day refundable trial before committing to a remote ML engineer. Data Science UA is the stronger option for companies that want to hire Ukrainian ML engineers directly, with an outstaffing option meanwhile. The right choice depends on your project size, budget, and required tech stack.
Index.dev vs Data Science UA: head-to-head summary
| Criterion | Index.dev | Data Science UA |
|---|---|---|
| Founded | 2019 | 2016 |
| HQ | London, United Kingdom | Kyiv, Ukraine (legal HQ London) |
| Team size | 30,000+ network | 50–200 |
| Rating | 4.2 / 5 | 3.8 / 5 |
| Primary differentiator | A 30-day trial with full refund on every placement | A large AI community and conference series that feeds its recruiting |
| Pricing model | Monthly rate per engineer; direct-hire fee option; 30-day trial with refund; rates on request | Recruiting fee per hire; outstaffing billed monthly; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, PyTorch, TensorFlow |
| Industries served | SaaS, Fintech, E-commerce, Healthcare, AI labs | Technology, Fintech, Healthcare, Retail, Gaming |
Index.dev vs Data Science UA: overview
Index.dev
Index.dev is a London company, founded in 2019 according to its own job ads, trading under the legal name Index Soft Limited. It calls itself an AI-first engineering talent platform. Its main network has more than 30,000 engineers in Latin America and Central and Eastern Europe, and a separate AI unit supplies Master's and PhD-level people for LLM fine-tuning and RAG work. Every engineer goes through five stages of vetting run by people, including a live screening call and technical validation, and Index.dev says about 1% are accepted. All placements come with a 30-day trial and a full refund if the match fails.
Data Science UA
Data Science UA began in 2016 as a data science conference in Kyiv, founded by Aleksandra Boguslavskaya, and grew into a recruiting, outstaffing and AI consulting business. Recruiting is a core line, and it says hiring averages two to four weeks. Its community of AI engineers in Ukraine and beyond, quoted at 10,000 to 30,000 depending on the source, gives it reach that general agencies lack. The screening is recruiter-led, though, so the technical depth of each shortlist depends on how well you brief them and on your own interviews.
Services and capabilities: Index.dev vs Data Science UA
| Capability | Index.dev | Data Science UA |
|---|---|---|
| ML engineers | ✓ | ✓ |
| LLM / GenAI engineers | ✓ | ✗ |
| AI agent developers | ✗ | ✗ |
| MLOps engineers | ✗ | ✗ |
| Computer vision engineers | ✗ | ✓ |
| NLP engineers | ✗ | ✗ |
| Data engineers | ✗ | ✓ |
| Engineer-led technical screen | ✗ | ✗ |
| Fractional / part-time experts | ✗ | ✗ |
| Trial before commitment | ✓ | ✗ |
| Nearshore time-zone overlap | ✓ | ✗ |
| Direct hire option | ✓ | ✓ |
Tech stack comparison: Index.dev vs Data Science UA
| Framework / platform | Index.dev | Data Science UA |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| LangChain | ✓ | N/A |
| Hugging Face | ✓ | N/A |
| OpenAI | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Google Cloud | ✓ | ✓ |
| Databricks | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Index.dev vs Data Science UA
| Criterion | Index.dev | Data Science UA |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated engineer, Dedicated team, Direct hire, Trial period | Direct hire, Dedicated engineer, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Index.dev vs Data Science UA
| Dimension | Index.dev | Data Science UA |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, E-commerce | Technology, Fintech, Healthcare |
| Best use cases | Trialling a Latin American ML engineer for a month before committing, Hiring a PhD-level specialist to fine-tune an open-source LLM | Hiring a permanent computer-vision engineer in Ukraine, Building an AI R&D centre in Europe for a U.S. product company |
| Typical project type | Dedicated engineer | Direct hire |
Index.dev vs Data Science UA: pros and cons
| Index.dev | |
|---|---|
| + | The 30-day refundable trial is the most generous published trial on this page |
| + | A separate AI unit for advanced work such as fine-tuning |
| + | Clients can hire directly as well as contract |
| - | Vetting is human-led but not specifically run by ML engineers |
| - | Network figures and acceptance rates are company claims |
| - | Founding date only appears in job listings |
| Data Science UA | |
|---|---|
| + | Recruiters specialise in AI and data, so briefs are understood |
| + | Direct hire and outstaffing both available |
| + | Wide reach in the Ukrainian AI community |
| - | Screening is done by recruiters, not engineers |
| - | Size and headquarters differ across directories |
| - | Wartime conditions need a continuity plan |
Who should choose Index.dev?
A typical fit: trialling a Latin American ML engineer for a month before committing.
A 30-day trial with full refund on every placement. Minimum engagement is not publicly disclosed. Works best with clients in SaaS, Fintech, E-commerce, Healthcare, AI labs.
Who should choose Data Science UA?
A typical fit: hiring a permanent computer-vision engineer in Ukraine.
A large AI community and conference series that feeds its recruiting. Minimum engagement is not publicly disclosed. Works best with clients in Technology, Fintech, Healthcare, Retail, Gaming.
Decision matrix: Index.dev vs Data Science UA
| Your situation | Recommended choice |
|---|---|
| You want a working engineer, not a recruiter, to run the technical screen | Neither documents an engineer-led screen; run your own technical interview |
| You need one specialist for a few days a week | Neither advertises part-time experts; ask about reduced hours |
| You need several engineers working as one team | Data Science UA |
| You want to test an engineer before committing | Index.dev |
| Your budget is at the lower end | Compare: Index.dev (Not published) vs Data Science UA (Not published) |
| Your team works U.S. hours | Index.dev |
| You may want to hire the engineer permanently later | Both; Index.dev rates higher overall |
Use case fit: Index.dev vs Data Science UA
| Use case | Index.dev fit | Data Science UA fit | Winner |
|---|---|---|---|
| Trialling a Latin American ML engineer for a month before committing | Strong | Limited | Index.dev |
| Hiring a PhD-level specialist to fine-tune an open-source LLM | Strong | Strong | Both equally |
| Hiring a permanent computer-vision engineer in Ukraine | Strong | Strong | Both equally |
| Building an AI R&D centre in Europe for a U.S. product company | Strong | Strong | Both equally |
Verdict: Index.dev vs Data Science UA
Index.dev (4.2/5) is the stronger overall choice for most AI Engineer Staffing projects. A 30-day trial with full refund on every placement.
Data Science UA (3.8/5) is worth a look if you need building an AI R&D centre in Europe for a U.S. product company. If your situation matches that, Data Science UA is a competitive option.
Related comparisons
Index.dev vs Data Science UA FAQ
Is Index.dev better than Data Science UA?
Index.dev (4.2/5) scores higher overall, but "better" depends on your use case. Index.dev's strongest advantage: the 30-day refundable trial is the most generous published trial on this page. Data Science UA's strongest advantage: recruiters specialise in AI and data, so briefs are understood.
How do Index.dev and Data Science UA differ in pricing?
Index.dev uses monthly rate per engineer; direct-hire fee option; 30-day trial with refund; rates on request pricing. Data Science UA uses recruiting fee per hire; outstaffing billed monthly; rates on request pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Index.dev or Data Science UA?
Data Science UA is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.
What are the main differences between Index.dev and Data Science UA?
Index.dev's primary differentiator is: a 30-day trial with full refund on every placement. Data Science UA's primary differentiator is: a large AI community and conference series that feeds its recruiting. They also differ in team size (30,000+ network vs 50–200), minimum engagement (Not published vs Not published), and primary industries served (SaaS, Fintech vs Technology, Fintech).
Verify all details directly with each company before making a decision.