Position:  Lead Data Scientist

 
Job ID: 41110
 
Responsibilities:
Introduce advanced BI, machine learning, and alternative data methods to improve efficiency and revenue growth.

Lead end-to-end delivery of data science projects, including data prep, modeling, analysis, deployment, and performance tracking.

Collaborate with data engineering teams to build production-ready data pipelines (ingestion, transformation, feature creation, training, and prediction).

Research reinsurance and advisory market opportunities to enhance existing models and support new product development.

Build strong working relationships with internal teams and external stakeholders.

Track model and data product performance, addressing issues and maintaining reliability.

Promote best practices in data science across analytics and engineering teams.

Stay current on emerging data technologies and trends and assess applicability to business strategy.

Drive the execution and delivery of planned data products on the roadmap.

Mentor and support the career growth of data science and engineering talent.

Assist in recruiting both technical and business personnel.

Partner with product management on technical communication with stakeholders.

Contribute to sprint planning, backlog creation, and estimation alongside product managers.

Qualifications:

-5 years of experience as a data scientist or in equivalent quantitative engineering role
-Significant experience with Python (pandas, sklearn), Spark (RDDs, dataframes), machine learning algorithms and libraries (TensorFlow, PyTorch), SQL
-Must be able to produce production level code and familiar with engineering best practices (e.g. unit testing, code reviews)