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Data Analyst
2 months ago
About esure
esure is a leading digital insurer that is constantly evolving to stay ahead of the curve. As a company that thrives on innovation, we're looking for talented professionals to join our team and help us drive business growth through data-driven insights.
Job Summary
We're seeking a highly motivated and ambitious individual to fill the role of Data Scientist. This is an end-to-end position that will span the entire AI lifecycle, from ideation to production deployment of models, as well as measuring benefit 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, R&D, 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/ML 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 ML solution.
- Proficient with Python data science stack.
- Knowledge of OO programming, software design, SOLID principles, and testing practices.
- Knowledge and working experience of AGILE methodologies.
- Proficient with SQL.
- Familiarity with Databricks, Spark, geospatial data/modelling, 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 breadth 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
esure is a company that values diversity and inclusion. We believe that everyone deserves an equal opportunity to succeed, regardless of their background or circumstances. If you're excited about joining our team and think you have the skills and experience we're looking for, we'd love to hear from you.
