Data Scientist
Policy Expert is a forward‑thinking insurer that uses proprietary technology and data to deliver reliable products and a strong customer experience. We operate across Home, Motor and Pet insurance and are rapidly expanding our data science capabilities.
Responsibilities
As a Data Scientist you will:
* Build predictive statistical and machine learning models, and develop pipelines to drive business growth.
* Collaborate with ML Engineers to deploy models into production and ensure ongoing value.
* Translate business problems into technical solutions and communicate outcomes to stakeholders.
* Define and prioritise data science initiatives using data to quantify opportunities.
* Design and monitor A/B tests to measure impact of initiatives.
* Advocate the value of data science and ML across the organization.
Qualifications
* Experience designing and building data products with large datasets, and understanding deployment in production.
* Applied knowledge of statistics and machine learning with demonstrable business impact.
* Proactive, self‑starter who can unblock obstacles.
* Product‑mindset focused on business outcomes.
* Familiarity with MLOps principles and, ideally, GenAI solutions.
* Strong communication skills, able to explain technical concepts to non‑technical audiences.
* Proficiency in Python, SQL, and experience querying large datasets.
* Knowledge of best coding practices and efficient, optimised code.
* Experience with GCP Vertex AI, or similar cloud services, is a plus.
* Knowledge of the insurance industry is advantageous but not required.
Benefits
Location: London office (50/50 hybrid). We offer:
• Pension contribution match up to 7%
• Private medical & dental cover
• Learning budget of £1,000 per year + study leave
• Enhanced maternity & paternity benefits
• Travel season ticket loan
• Access to London events & private lounge
• Employee wellbeing programme
• Prayer room in office.
Equal Opportunity
We pride ourselves on being an equal opportunity employer. We treat all applications equally and recruit solely on skills, knowledge, and experience. If you require reasonable adjustments during the interview process, please let us know.
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