Senior Data Scientist

Remote Full time
🔍 Find Similar Jobs

Job Details

Employment Type

Full time

Salary

70.00 €

Valid Through

Sep 1, 2025

Job Description

Looking to build real machine learning features that make it into production, not just prototype and hand off?You’ll be joining a product-led company where data science plays a central role in solving complex, domain-specific problems. They’re using ML, NLP, and automation to help users surface insights, streamline workflows and make better decisions faster. You’ll work on a mix of internal and customer-facing projects, from classical ML models to NLP-driven features (with GenAI in the pipeline also). The team is collaborative, and there’s a clear focus on shipping usable, scalable solutions over endless experimentation.

If you’ve worked in SaaS before or just enjoy building things that actually go live, you’ll feel at home here. What you’ll need: Strong Python skills (Sklearn, Pandas, PyTorch, TensorFlow, etc. ,)Hands-on experience building and deploying models in production (classification, regression, clustering)Solid grounding in NLP including text extraction, embeddings and topic modellingBonus points if you’ve explored GenAI concepts/tools like RAG, LangChain, etc. ,Salary: €70-80kInterview process: 30 min intro call, followed by a short take-home which you’ll walk through in the technical interview. Final round is a mix of behavioural and technical. Location:

They have monthly/quarterly meetups that you'll need to commit to in Dublin but the day-to-day is remote-friendly (or pop in as often as you want). Sponsorship is not available unfortunately. You’ll need Stamp 4 or an EU/UK passport. If this sounds like you, apply here, even if your CV’s not perfect. Any questions, drop me a message or email ross@ninedots. io.

Apply Now

You'll be redirected to the company's application portal

Application Success Tips

Resume Tailoring

Customize your resume to highlight skills and experiences relevant to this specific position.

Company Research

Learn about the company's mission, values, products, and recent news before your interview.

Profile Optimization

Ensure your LinkedIn profile is complete, professional, and matches your resume information.

Interview Preparation

Prepare thoughtful questions to ask about team dynamics, growth opportunities, and company culture.

Back to Job Listings