Data Scientist

2 weeks ago

Dublin, Ireland Morgan McKinley Full time

We're Hiring: Data Scientist | Dublin (Hybrid)

Are you a Data Scientist looking to apply your skills in a production environment where machine learning directly influences business outcomes?

We're working with a leading organisation in the healthcare and insurance space that's expanding its Data Science team. This role is ideal for someone who wants to move beyond traditional analytics and contribute to real-world AI systems - including fraud detection, customer modelling, and autonomous agentic AI frameworks that reason, plan, and act.

What You'll Be Doing

- Design and deploy ML models for fraud detection, customer segmentation, and behavioural prediction

- Collaborate with cross-functional teams to deliver data-driven solutions that align with business goals

- Build robust, end-to-end pipelines - from raw data to production deployment

- Contribute to the development of agentic AI systems solving complex business challenges autonomously

- Translate technical insights into actionable business recommendations

Tech Stack & Skills

- Python (preferred), R, SQL

- ML frameworks: scikit-learn, XGBoost, PyTorch, or similar

- Hands-on experience with model deployment (MLOps a bonus)

- Strong grasp of data wrangling, feature engineering, and model evaluation

- Interest or experience in agent-based systems or AI reasoning frameworks

- Familiarity with lean six-sigma or operational optimisation is a plus

What We're Looking For

- 3+ years in Data Science or Machine Learning roles

- Degree in Data Science, Engineering, Mathematics, or related field

- Strong problem-solving and communication skills

- Passion for AI and applying data to solve real-world challenges

Why Apply?

- Hybrid working model (2-3 days onsite in Dublin)

- Work on impactful projects that go beyond dashboards

- Join a team pushing the boundaries of AI in production

- Supportive, forward-thinking environment where your voice matters

Ready to take the next step in your data science career?
Apply now or connect with the recruiter directly to learn more. Interviews are being scheduled this week.

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