The Euler Hermes Data Lab in Asia Pacific is looking to recruit a Senior Data Scientist to run the data science and the analytics team. Euler Hermes has in the past introduced data science to drive better decision making in the risk and commercial parts of the business. The team has developed and is running a number of machine learning models and data visualization tool and we are seeking an experienced individual to manage the delivery lifecycle of data tools including research, model development, brining models to production and the continuous improvement of machine learning models and analysis.
Lead of the local data scientist team a be a key knowledge resource for junior staff.
Plan and conduct research.
Lead the continuous improvement of data quality, data breads and depth.
Continuously improve the technical expertise and capability of the team.
Interface effectively with the business and users to identify requirements.
Lead development of machine learning models and analytical output.
Transition research into production ready products and interface with other technical teams.
Work with the wider data scientist community at Eurler Hermes and Allianz Insurance and build good working relationships that allow collaboration and learning.
Master degree required, mathematics or computer science preferred
Minimum work experience of 5 years in data science or a related field
Experience in financial services preferred
The Euler Hermes Data Lab
Knowledge of statistical inference and sample validations
Experience using classification and clustering algorithms, i.e., random forests / xgboost, SVM, k-means and their respective metrics, i.e., recall/precision, AUC.
Can deliver A/B testing on rolled products
Hands on NLP with NER and tagging
Experienced Python programmer (PEP8 should be a must)
Knowledge of scikit-learn, pandas (dask better), xgboost
Knowledge of REST API and experience in building interfaces with Flask
Knows how to refactor code to be sent into production (knowledge of unit testing a plus)
Hands on with Unix/Linux systems
Hands-on with AWS EC2, S3 (knowledge of Gateways, Lambda and SES a plus)Data
Knowledge of Tableau
Knowledge of Python viz libraries
Scrum Master (or knowledge of Scrum)
Experience in managing small teams
Level of experience (years):
Senior (5+ years of experience)