# nineDots.io (client undisclosed) — Senior Data Scientist (AI Engineering Focus)

| Field | Value |
|---|---|
| **Date found** | 2026-05-22 |
| **Company** | nineDots.io (client undisclosed) |
| **Role** | Senior Data Scientist (AI Engineering Focus) |
| **Location** | Dublin, Hybrid |
| **Salary** | €95k–€100k base + enterprise benefits |
| **Job URL** | [LinkedIn](https://www.linkedin.com/jobs/view/4411594967/) |
| **Status** | New |

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## Company Research

Recruiting agency — client undisclosed.

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## Job Summary

**What they do:** nineDots.io is recruiting for an unnamed "globally established enterprise software company" — commercially mature platform deployed at scale across international markets, with a dedicated AI investment area in Dublin.

**The role:** Senior Data Scientist (AI Engineering Focus) on a dedicated AI team embedded in a live production platform, owning delivery of AI features from modelling through to deployment.

**Core work:**
- Build, train and deploy NLP models and AI agents into production; integrate AI workflows into enterprise platform systems
- Create repeatable data pipelines and evaluate models using statistical and qualitative methods
- Lead individual AI initiatives end-to-end with cross-functional stakeholders; contribute to responsible AI standards

**Stack:** Python · ML frameworks · NLP · deep learning · generative AI · agentic systems (emerging)

**Work style:** Hybrid, Dublin (on-site frequency unspecified); permanent role

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## Score: 41%

| Dimension | Score | Justification |
|---|---|---|
| Agentic AI depth (25%) | 45% | "Emerging agentic systems" and "AI agents" mentioned but secondary to NLP/ML pipelines — not a core agentic role |
| Tech fit (25%) | 50% | Python + ML frameworks + NLP/GenAI stack; no explicit LangGraph/LangChain/CrewAI/Anthropic APIs |
| Remote fit (25%) | 50% | Hybrid Dublin, on-site frequency unspecified; assumed ~2 days/week |
| Company culture fit (15%) | 45% | Client anonymous; described as "globally established enterprise software company" — not AI-native, enterprise pace |
| IC/leadership balance (10%) | 75% | Hands-on AI engineering IC; "lead individual initiatives" — light cross-functional leadership, no people management |
| **Final (weighted)** | **51% → 41%** | −10 pts salary penalty (€95k–€100k range in the €100k band) |

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## Strengths

- Dedicated AI team embedded in a live production platform — real shipping, not POC work
- "AI agents" and "agentic systems" in scope, even if emerging rather than core
- 4+ years AI/ML experience required — solid seniority match
- Only 61 applicants — moderate competition

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## Weaknesses & Risks

- Salary €95k–€100k — at or below the €110k target floor; must negotiate to the upper end immediately
- Client company anonymous — culture, domain, and AI investment depth unknown
- "Senior Data Scientist" framing skews toward traditional ML/data science, not agentic AI engineering
- Agentic scope is "emerging" — risk of the role being primarily NLP/pipelines in practice
- Hybrid frequency unspecified; "enterprise software company" context suggests standard 2–3 days/week

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## Suggestions

- Ask nineDots (Lee Kelly) immediately whether the salary can flex above €100k — the posted range is the floor of the target
- Ask the recruiter to reveal the client company before committing time to interviews
- Emphasise production AI delivery ownership and NLP experience from Fenergo
- Probe whether the "agentic systems" scope is current roadmap or future aspiration

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## Interview Tracker

| Stage | Date | Notes |
|---|---|---|
| Applied | | |
| Recruiter screen | | |
| Technical interview | | |
| Final round | | |
| Offer / Outcome | | |