
Senior Analytics Leader
3 days ago
The Principal Data Scientist will serve as a senior technical leader, driving innovation in analytics, infrastructure, and product development.
- This role requires a blend of data science expertise, predictive modelling, and cloud infrastructure knowledge.
- The successful candidate will have a deep understanding of insurance practices, particularly in pricing, underwriting, and fraud detection.
Main Responsibilities:
- Lead and contribute to high-impact projects across analytics, infrastructure, and product development.
- Explore and adapt AI solutions to enhance business outcomes.
- Build and deploy scalable machine learning workflows and data products.
- Collaborate with cross-functional teams to support cloud migration and infrastructure design.
- Work with structured and unstructured data, including telematics, to generate insights and improve products.
- Develop predictive models and support benchmarking initiatives.
- Communicate findings clearly to technical and non-technical audiences.
- Mentor colleagues and promote a culture of learning and inclusion.
To succeed in this role, you should have:
- Experience in data science, analytics, or a related field (academic or professional).
- Proficiency in Python or R, SQL, and data processing tools.
- Familiarity with cloud platforms (especially Azure), distributed computing (e.g. Spark), and MLOps practices.
- Ability to design and maintain data pipelines and work with diverse data formats.
- Strong communication and collaboration skills.
- A commitment to inclusive, ethical, and explainable AI practices.
This role offers the opportunity to work on challenging projects, collaborate with experienced professionals, and develop your skills in a dynamic environment.
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