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2 months ago
About esure
esure is a leading digital insurer that is transforming the industry with innovative solutions and cutting-edge technology. As a pioneer in the field, we are constantly seeking talented professionals to join our team and contribute to our mission of becoming a world-class digital insurer.
Job Summary
We are seeking a highly motivated and ambitious individual to join our team as a Data Scientist. This role will involve working on end-to-end data science projects, from ideation to production deployment of models, as well as measuring benefits via A/B testing.
Key Responsibilities
- Collaborate with business partners to enhance processes using new data and sophisticated machine learning techniques.
- Manage projects from inception to deployment, including benefit assessment.
- Uphold and improve standards for code quality, research and development, and model development.
- Collaborate with DevOps and Data Engineers to deploy machine learning models on AWS.
- Provide mentorship to peers and partners on potential actions and impacts.
- Develop Python code adhering to standard processes, CI/CD, and test coverage.
Requirements
- You are a self-starter with experience in delivering research and models to production to drive tangible commercial benefits and improved customer experiences.
- You thrive in working autonomously to drive impact in a fast-paced cross-functional business.
- PhD or MSc or equivalent in a numerate subject: Machine Learning, Computer Science, Statistics, or similar.
- Demonstrable experience of applying, researching, and developing sophisticated statistical/machine learning methods to drive value in a commercial setting.
- Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results.
- Experienced in engaging with non-technical partners to scope, design, and build an appropriate machine learning solution.
- Proficient with Python data science stack.
- Knowledge of object-oriented programming, software design, SOLID principles, and testing practices.
- Knowledge and working experience of Agile methodologies.
- Proficient with SQL.
- Familiarity with Databricks, Spark, geospatial data/modeling, and insurance are a plus.
- Exposure to MLOps, model monitoring principles, CI/CD, and associated tech, Docker, MLflow, k8s, FastAPI, etc. are desirable.
What We Offer
- Experience working in a high-performance environment where collaboration and business impact are business as usual.
- Experience in a wide breath of techniques covering NLP through to causal inference.
- Exposure to the best technology, architectural patterns, and integrations of ML/GenAI to production in the industry.
Additional Information
We understand some people may not apply for jobs unless they tick every box. If you are excited about joining us and think you have some of what we are looking for, even if you're not 100% sure, we would love to hear from you.
