Data Scientists

Need:

• Data Scientists with actuarial experience(actuary experience)
• Snowflake jupyter notebook and python and actuary experience required for all positions

Top Skills Details

We are offering an invaluable opportunity for individuals with passion for data science and interest in the insurance industry to work on Auto and Property pricing model development with the direct guidance from top talent in the industry.

• Bachelors degree is required in a STEM major (math statistics or data science); masters degree is strongly preferred.
• It is desirable but not mandatory to have previous professional experience in building pricing loss models or underwriting models in the Property and Casualty insurance industry.
• Quick learner and detailoriented individual with sense of urgency resilience to pressure cando attitude and high curiosity.
• Highly efficient in working on largesized datasets with heterogeneous data types by using SQL and Python. The assessment for coding might be arranged during the interview.
• Both conceptual understanding and working knowledge of predictive modeling are required including but not limited to GLM GBM Feature Selection Parameter Tuning Model Diagnostics and Performance Evaluation. A technical assessment might be arranged during the interview.
• Handson experience in using various Python packages for the predictive modeling development including but not limited to H2O sklearn statsmodels scipy numpy and pandas.

Secondary Skills Nice to Haves

• Data science
• Predictive modelling
• pricing

Job Description

• List the top three skills in order of importance and number of years of experience for each skill.
• Actuarial Analytics (3 5 years)
• Machine Learning (3 5 years)
• Statistical Modeling (3 5 years)
• Python Jupyter Notebook Snowflake
• Use Python in Jupyter Notebook to process data and develop predictive models on the daily basis.
• Use SQL or Python to extract the modeling data from snowflake data server.

• Work closely with other data scientists and actuaries in the modernization modeling team
• Develop pricing and underwriting models support Auto and Property under the direct guidance of modeling leads.
• Complete the model documentation and operational procedures based on USAA enterprise policy and regulatory requirements.
• Attend all project update and standup meetings at the request of modeling leads and proactively provide the progress update either verbally or in written.
• Hold accountable for assigned tasks with respect to quality and timeline.
• Other tasks and projects assigned by modeling leads.

• Quick learner and detailoriented individual with sense of urgency resilience to pressure cando attitude and high curiosity.
• Passion for data science and interest in the insurance industry to work on Auto and Property pricing and underwriting models

Additional Skills & Qualifications

Position will be supporting the P&C Auto and Dwelling Mod journeys for Pricing and Underwriting with the Actuaries. Need a very curious mindset collaborative and accountable to getting work done.

Why is the position open(provide details)

Capacity needs for the team as they ramp for the USAA Mod journey into new pricing engine Earnix. 2 will be needed for Auto 2 for Dwelling.

External Communities Job Description

Client is looking for 4 Data Science professionals with Actuarial data modeling experience for long term project and contract. Must be able to go on site in San Antonio or Plano. Skills include Python Jupyter and Snowflake. Machine Learning and statistical modeling is required.

Required From candidate:

• What are the top three technology tools this resource must have knowledge using
• Can you please provide a brief description of the daily duties using the technology tools above
• What are some job responsibilities specific to your team for this role
• Please provide any details that will be helpful for Supplier to find the right candidate for job.