About the job

Are you a curious mind with a passion for machine learning and a drive to innovate? At Admiral, we’re on a mission to transform insurance through advanced analytics and AI. As a Senior Data Scientist in our Pricing Data Science team, you’ll play a pivotal role in shaping the future of our products and customer experiences.

Why Admiral?

Data-Driven Innovation: Data and technology are central to our strategy. We harness millions of daily customer interactions to build cutting-edge models using Google Cloud and Vertex AI.

Impact at Scale: From structured to unstructured data, your work will directly influence pricing, customer satisfaction, and business growth.

Inclusive Culture: We champion diversity, inclusion, and a collaborative environment where every voice is heard and innovation thrives.

Flexible Working: Enjoy a hybrid setup that blends remote work with in-office collaboration.

What You’ll Do

Strategise & Innovate: Lead the development of advanced ML and AI solutions that drive business transformation.

Explore & Pioneer: Stay ahead of industry trends and experiment with new methodologies.

Lead & Collaborate: Mentor team members, refine deployment processes, and advocate for data science across the business.

Influence & Partner: Work closely with stakeholders to shape strategy and identify high-impact opportunities.

Mentor & Develop: Grow talent within the team and foster a strong data science culture.

Deliver Value: Turn data into actionable insights that make a real difference.

Essential

What You’ll Bring

2+ years in Insurance Pricing

Strong Python skills and ML model development experience

Expertise in feature engineering, model monitoring, and maintenance

Proven problem-solving ability and stakeholder engagement

Experience mentoring or managing team members

Desired

Model deployment and MLOps experience

Project management and leadership skills

Familiarity with GIT, Azure DevOps, and SQL

Understanding of ethical AI and customer impact

Ability to communicate complex ideas to technical and non-technical audiences