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Lead Data Scientist

Safety National
$127K to $204K Compensation for the successful candidate will consider the candidate's particular combination of knowledge, skills, competencies, experience and geographic location
401(k)
United States, Missouri, St. Louis
1832 Schuetz Road (Show on map)
Nov 20, 2024
Description

Stop searching. Start growing. It's time to build a meaningful career where you can grow, your ideas can thrive, and you are recognized and valued. Join a team committed to your excellence, and apply to Safety National today!

Ready for a rewarding career? Follow this link to view all of our available careers and apply: https://www.safetynational.com/careers-page/

This opportunity is in the Data Analytics Department.

Data Analytics/Data Science: Curious about data science and analytics? Our Data Analytics department seeks those passionate about using data to tell business stories, inform decision making and solve business problems. If you are a curious professional with education or experience in data science, statistics, and machine learning, this is an excellent opportunity to be part of a highly impactful, innovative and diverse team.

Role Description:

In the role of Lead Data Scientist we are seeking a seasoned data science professional with proven track record in leading and overseeing the execution of data science projects. As a lead data scientist, you will provide expertise in advanced statistical modeling, machine learning, and risk assessment within the insurance context, and collaborate closely with business stakeholders to drive the development and implementation of advanced analytics solutions to contribute to SNCC's strategic objectives.

Your day-to-day responsibilities in this role will be:



  • Provide technical leadership, mentorship, and guidance to the data science team on project execution. Oversee end-to-end data science project delivery, ensuring that projects are completed on time, within scope, and meet quality standards.
  • Identify opportunities for leveraging data science to enhance business processes, improve decision-making, and drive innovation.
  • Provide guidance and direction to junior data scientists on analyzing large and diverse insurance datasets, and creating clear and insightful visualizations, reports and dashboards to communicate complex data findings and provide actionable insights to business stakeholders.
  • Collaborate with stakeholders across departments, including underwriting, claim, actuarial, IT, and business development, to understand their needs, deliver data-driven solutions and drive data initiatives.
  • Stay at the forefront of industry trends, emerging technologies, and advancements in data science within the insurance sector, and advise on the application of new methodologies and techniques in projects to drive innovation.
  • Facilitate the implementation of best practices for data science, machine learning, and analytics within the team.


If this role describes you, don't delay. Apply today!

Qualifications:

Education:

Master degree in a quantitative field such as Statistics, Mathematics, Actuarial Science, Computer Science, or related discipline.

Required Qualifications:



  • Master degree in a quantitative field such as Statistics, Mathematics, Actuarial Science, Computer Science, or related discipline.
  • Proven experience (8+ years) as a Data Scientist, with a track record of successfully leading data science projects. Candidates with Ph.D. degree and 4+ years of industry experience will also be considered. Experience in financial service industry is preferred.
  • Expertise in advanced statistical modeling, machine learning, and risk assessment. .
  • Expertise in programming languages such as Python or R, along with proficiency in relevant libraries (e.g. Scikit-Learn, XGBoost, TensorFlow, etc.)
  • Extensive experience in working with relational database management system such as Microsoft SQL Server, and cloud-based Data Warehouse such as Snowflake, and advanced skills in writing complex SQL queries for data retrieval, transformation and analysis.


Preferred Qualifications:



  • Ability to design and implement database model for the needs of data science projects.
  • Excellent leadership and communication skills with the ability to influence and collaborate at all organizational levels.
  • Familiarity with insurance-specific data sources, regulatory requirements, and industry standards is advantageous.


Protect the confidentiality, integrity and availability of information and technology assets against unauthorized disclosure, destruction and/or alteration, in accordance with Safety National policies, standards, and procedures.

Safety National is a leading specialty insurance and reinsurance provider. Our culture is built upon relationships, which allow us to demonstrate our expertise gained through our rich 80-year history. As a wholly-owned subsidiary of Tokio Marine, Inc., we appreciate the benefits and support provided by our affiliation with one of the top 10 insurance companies in the world.

A Benefits Structure That Puts Employees First

Safety National's approach to benefits reaches far beyond competitive fixed compensation. Instead, we construct a total rewards benefits package for each valued member of our team. Highlights include incentive award bonuses, an annual holiday bonus, and profit-sharing contributions. Other exceptional benefits include generous healthcare coverage, a 401(k) match, enhanced paid caregiver leave, and family-forming benefits for adoption, surrogacy, and fertility. We also promote balance by offering a hybrid working environment and several employee appreciation events throughout the year. Apply today to learn more about our total rewards approach.

Safety National is committed to fair, transparent pay and we strive to provide competitive, market-based compensation. In our vision to be First with Co-Workers, compensation is only one piece of the comprehensive total rewards package we offer. The target salary range for this position is $127K to $204K Compensation for the successful candidate will consider the candidate's particular combination of knowledge, skills, competencies, experience and geographic location.

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