Develop best in-class ML models to predict claims outcomes, fraud and other risk KPIs.
Work with ML Engineers to deploy ML models.
Monitor deployed ML models and link performance to commercial value KPIs.
Present your work to Operational and Commercial stakeholders.
Explore new technologies and contribute to setting team’s best practices.
Requirements
Proficiency in Python and experience with ML libraries for building and deploying machine learning solutions in cloud environments
Ability to think commercially and link ML model performance to commercial KPIs
Experience using structured query languages (SQL)
Keen interest in emerging new ML techniques and their commercial value
Ability to communicate across teams of Data Scientists, Data Engineers, ML Engineers, Operational and Commercial stakeholders.
Tech Stack
Cloud
Python
SQL
Benefits
Flexible working – we champion a flexible hybrid working approach
Competitive bonus scheme
all colleagues are eligible for our annual 4Cs performance bonus
Financial wellbeing – as well as providing you with 4x your salary with our life assurance cover, income protection at no extra cost, and matched pension contributions up to 10%, we are proud to provide you with an award-winning package which includes – discounts, cashback, free independent mortgage advice and free access to financial wellbeing support
Mental wellbeing programme – we have the thrive mental health app, our colleague assistance programme available 24/7, our own in-house mental health first aiders, support groups and a dedicated team to make sure we are covering your needs
25 days annual leave + bank holidays, with the option to buy or sell one of your weeks, access to our health care cash back plans, dental plans, discounted health assessments, Cycle to work and tech schemes, discounted and free onsite facilities, social events throughout the year and much more ….