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Data Science Manager
Actuarial Futures
Bromley
On-site
GBP 40,000 - 80,000
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Job summary
An established industry player is seeking a talented data scientist to join their team. This exciting role involves developing and implementing data science solutions that align with the overall business strategy. The successful candidate will leverage their expertise in Machine Learning and quantitative analysis to build predictive models and drive actionable initiatives. With a focus on documentation and governance, you will play a key role in enhancing the data strategy of the organization. If you have a strong background in computer science or mathematics/statistics and are eager to make an impact in the insurance sector, this opportunity is perfect for you.
Qualifications
- Hands-on experience in building and training Machine Learning models.
- Familiarity with data science software and quantitative methods.
Responsibilities
- Train Machine Learning models and build predictive modelling solutions.
- Support data strategy management and align solutions with business strategy.
Skills
Machine Learning
Data Science
Quantitative Analysis
Statistical Modelling
Documentation
Education
Bachelor in Computer Science
Bachelor in Mathematics/Statistics
Tools
Python
R
SPSS Modeller
Job description
Are you a talented data scientist with hands-on quantitative experience, looking for your next career opportunity within a leading insurer?
Then this is a fantastic opportunity to build and submit a range of data science solutions aligned to the wider business strategy.
In this key role, you will be responsible for the training of the Machine Learning models such as propensity models. You will also be accountable for building predictive modelling solutions that can be rolled out to actionable initiatives across the business.
In addition, you will support the ongoing management of the business by considering opportunities around data strategy.
With a background in computer science, mathematics/statistics, the successful candidate will possess familiarity with data science software such as Python, R, and SPSS Modeller. You will also be able to build Machine Learning models from scratch with good documentation and governance.
Experience working in an insurance company setting or any other financial service is preferred.
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