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Job Type:
PermanentBuild a brilliant future with Hiscox
- Apply the data science product lifecycle principles to new projects (Design, exploratory data analysis, building, evaluation, deployment, monitoring and maintenance)
- Contribute to developing production data science models, monitoring their performance, and managing their lifecycle (retraining, optimising and upgrading)
- Work on the end to end data solution including understanding complex business challenges, designing scientific solutions, working large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights
- Work collaboratively with data scientists, data engineers and other technical people including pricing teams in order to help support maturation of analytics practice within the organization.
- Write high quality python code using industry best practice for model training and deployment
- Continuous development of knowledge base and experience, including researching new techniques and technologies, communicating this back with the team
- Experience of data science, advanced analytics or a genuine interest to learn.
- Ability to conduct high quality research in a suitably timely manner working in both independently and in small teams as required by the task.
- Familiarity with version control and other IT delivery tools is required
- Understanding / identifying opportunity to apply machine learning knowledge to solve business problems
- Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target audience
- Exceptional written communications skills and effective presentation skills
- Willingness to learn best practice in software development
- Strong python programming skills
- Experience of TDD (pytest or other testing framework)
- Graduate or Postgraduate qualification or equivalent experience in a relevant discipline e.g. engineering, mathematics, physics, statistics
- Experience of data science in finance, insurance or Ecommerce is an advantage but not required
- Experience of deployment in a cloud environment
- Experience with neural networks and Tensor Flow, CatBoost, XGBoost, SKlearn, Pandas
- Experience with API development
- SQL experience
- Software engineering experience
- DevOps / MLOps experience
- Good working understanding of CI/CD
Work with amazing people and be part of a unique culture
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