We're no strangers to change at esure, one of the industry leaders in the insurance business, striving to become a world-class digital insurer. This creates great opportunities for innovative and talented professionals to join us at a pivotal point in our development.
We have an excellent opportunity for a motivated and ambitious individual to join our team and work to improve the profitability of the company through new data sources and advanced modelling techniques. This role is an end-to-end data science role spanning the entire AI lifecycle from ideation through to production deployment of models as well as measuring benefit via A/B testing.
Key responsibilities include:
* Collaborate with business partners to enhance processes using new data and sophisticated ML 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 ML 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.
We encourage anyone with the following skills to apply:
* Self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences.
* 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, i.e., 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, e.g., Docker, MLflow, k8s, FastAPI etc are desirable.
We'll help you gain experience working in a high-performance environment where collaboration and business impact are BAU, experience in a wide breath of techniques covering NLP through to causal inference, and exposure to the best technology, architectural patterns, and integrations of ML/GenAI to production in the industry.
Why choose us?
This is your opportunity to be at the forefront of our game-changing journey and be part of something truly special. We offer a competitive salary, bonus scheme, discounts on our insurance products, 25 days annual leave, plus 8 flex days, benefits just for you, grow your career with us, join our communities, more flexibility for you, live a healthy lifestyle, a helping hand to do your bit for a greener and safer world, and everyday appreciation.