Job Title: Data Scientist

Division: Pricing and Advanced Analytics

Reports to: Lead Data Scientist

Location: Dublin/Cavan/Enniskillen

About RedClick (Generali Group):

We are RedClick, part of Generali Group, one of the world’s largest insurers. Generali is present in over 50 countries, serving more than 70 million customers, and powered by approximately 82,000 employees. At the heart of Generali’s strategy is the Lifetime Partner commitment, delivering innovative, personalised solutions and best in class customer experience through our digitalised global distribution. Sustainability is embedded in our strategic choices. We aim to create value for all stakeholders and help build a fairer, more resilient society.

The Opportunity:

This is an exciting opportunity to join RedClick’s Pricing and Advanced Analytics Department as a Data Scientist. You will help design and deliver analytics and machine learning that improve pricing, claims, marketing and customer experience outcomes across our markets. You will work alongside experienced data scientists, actuaries and analysts in a supportive environment.

What you’ll do:

• Build real value by exploring rich, enterprise grade datasets and contributing to EDA, feature engineering, and modelling across pricing, claims, fraud, marketing, and customer experience.
• Support projects end to end by collaborating with business partners to help move work from problem framing and data exploration through prototyping, evaluation, implementation, and post deployment monitoring.
• Prototype and compare approaches by developing clear baselines and proof of concepts, experimenting with a wide variety of machine learning techniques, and explaining trade-offs and metrics in plain language.
• Communicate clearly by presenting concise visuals and narratives for non-technical stakeholders, calling out assumptions, limitations, and next steps.
• Responsibly apply GenAI for enhanced modelling, summaries, and documentation within our guardrails to improve quality and speed.

What you’ll bring (Essential):

• Applied experience with 1+ year in data science/analytics or a strong portfolio (internship, capstone, research, or industry project) showing end‑to‑end analytical delivery.
• Degree or post graduate qualification in Mathematics, Statistics, Computer Science or a related discipline.
• Strong programming skills in Python and experience in the wide variety of data science techniques including statistics, machine learning, and AI.
• Curiosity and the ability to communicate insights to both technical and non-technical audiences.

Desirable:

• Post graduate or professional qualification in data science or related discipline.
• Interest or experience in insurance/financial services and working with large, real‑world datasets.
• Exposure to cloud platforms or MLOps tools such as Azure, Databricks, MLflow, or Git.

RedClick is an Equal Opportunity Employer