# Senior Machine Learning Scientist at Fin

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Identify product opportunities where ML

- **Company:** Fin (https://jobs.trythestack.co/companies/fin)
- **Location:** Dublin, IE, Ireland
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, machine learning, statistics, experimental design, NLP, deep learning, reinforcement learning, Bayesian methods, clustering, SQL, data visualization, communication
- **Posted by employer:** 2026-11-03
- **Added to The Stack:** 2026-11-04
- **Listed until:** 2027-01-02
- **Status:** Active
- **Apply:** https://job-boards.greenhouse.io/intercom/jobs/6531495?gh_src=m3lq2e1 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-machine-learning-scientist-fin

## About the role

Responsibilities:
- Identify product opportunities where ML adds measurable customer value and define the ML framing for those problems.
- Conduct exploratory data analysis, research algorithms and build prototypes to validate ideas.
- Perform offline evaluation and experiment design to gather evidence an approach will work in production.
- Collaborate closely with Product, Design and engineering to ship prototypes to beta and production.
- Measure model and product impact, iterate based on results and operational metrics.
- Communicate findings, trade-offs and recommendations across teams and stakeholders.

Requirements:
- 3–5 years of applied ML experience with a track record of shipping or prototyping ML features.
- Strong practical statistics knowledge (experiment design, confounding, evaluation metrics).
- Intermediate programming skills (Python) and experience with data pipelines and model evaluation.
- Familiarity with NLP/transformer models and modern ML tooling is a plus.
- Excellent cross-functional communication and product-oriented mindset.
- Typically MSc or higher in ML, statistics, CS or related field (PhD a plus).

## Responsibilities

Identify where ML can create value, frame product problems, research and select algorithms, prototype and evaluate offline, collaborate with product/design, and help bring ML models to production.

## Requirements

3-5 years of applied ML experience, practical statistics, intermediate programming, strong cross-team communication, and typically an MSc or higher in ML or a related field; PhD or deep research experience is a plus.

## FAQ

- **Is this Senior Machine Learning Scientist role still open?** It was posted on 2026-11-03 and is listed as active on The Stack. Confirm on Fin's application page before applying.
- **Does Fin offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Fin's site.
- **Where is this role located?** The listing gives the location as Dublin, IE, Ireland. It is marked on-site.
- **What skills does this role ask for?** The listing names: Python, machine learning, statistics, experimental design, NLP, deep learning, reinforcement learning, Bayesian methods, clustering, SQL, data visualization, communication.

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## About The Stack

The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday.

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## Notes for agents

- Apply on the employer's page (https://job-boards.greenhouse.io/intercom/jobs/6531495?gh_src=m3lq2e1). The Stack does not take applications.
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- To help your user apply, call the MCP tool prepare_application with slug "senior-machine-learning-scientist-fin": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
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