Social network you want to login/join with:
About the role:
An exciting opportunity has arisen in our data science team at Aviva, where you can contribute to shaping the future of insurance through advanced analytics. As the insurance industry evolves in a technologically dynamic age, Aviva is strategically investing in data science, machine learning, and advanced analytics as a distinctive capability.
Key responsibilities:
1. Contribute to the development and deployment of machine learning models supporting trading strategies, risk-based costing, medical underwriting, and operational efficiency.
2. Collaborate with cross-functional teams to understand their data science needs and provide expertise on model design and controls.
3. Design and implement control mechanisms to ensure model reliability and robustness.
4. Mentor colleagues to foster a culture of learning and continuous improvement in data science practices.
Required skills and experience:
* Experience in data science with a focus on machine learning model development and deployment.
* Proficiency in Python, R, or similar programming languages.
* Experience in deploying models into business processes, preferably in insurance or finance sectors.
* Understanding of model monitoring and control design.
* Excellent communication and teamwork skills, with the ability to collaborate with non-technical colleagues.
Benefits:
* Competitive salary between £40,000 - £60,000 depending on experience and location.
* Bonus opportunity of 10% of annual salary based on performance.
* Generous pension scheme with contributions up to 14%.
* 29 days holiday plus bank holidays, with options to buy or sell up to 5 days.
* Discounts on Aviva products and other retailers.
* Share plans including up to £1,200 of free Aviva shares annually.
* Supportive policies including parental and carer’s leave.
* Flexible benefits, including sustainability options like cycle to work.
* Paid volunteering days and wellbeing support.
Inclusive workplace:
We welcome applications from all backgrounds and experiences. Flexible working options are available, including part-time and job-sharing arrangements. We promote a culture of flexibility to suit our customers, business, and employees.
#J-18808-Ljbffr