Data Scientist

We are seeking a highly skilled Data Scientist to join our team at Apex Systems, Inc. As a Data Scientist, you will play a critical role in driving data-driven decision-making processes and developing advanced analytical models to solve complex insurance problems.

• Collaborate with cross-functional teams to identify and define data science initiatives aligned with business goals and strategy.
• Develop predictive models to assess risks and loss probabilities, enabling effective underwriting decisions and pricing strategies.
• Utilize Machine Learning algorithms and statistical methods to analyze insurance trends, customer behaviors, and market dynamics.
• Design and implement experiments to test hypotheses and provide intuitive solutions to what happened, when, where, and why, using data to enhance customer retention and profitable growth.
• Create visualizations, dashboards, and slide decks to effectively communicate complex findings to non-technical stakeholders.
• Conduct exploratory data analysis to identify patterns, anomalies, and opportunities for process improvements.
• Collaborate with data engineers to develop data pipelines and integrate data sources ensuring data quality and integrity.
• Build platforms and applications to accelerate data science operations, including Model Monitoring, and improve process efficiencies of business workflows.
• Stay abreast of industry trends, emerging technologies, and best practices in data science and insurance analytics.

• Masters degree in Statistics, Mathematics, Data Science, or equivalent quantitative discipline.
• Proficiency in programming languages such as Python, R, SQL, with the ability to manipulate and analyze structured and unstructured data, including at least one of JavaScript, C#, or other web development tools.
• 5+ years related experience in a Data Scientist role with demonstrated competencies in developing predictive/prescriptive models.
• Experience building web applications (R Shiny/Dash) as a workflow integration product.
• Experience building platforms (Flask Applications, etc.) to integrate machine learning models as API endpoints to different technology stacks.
• Experience with at least one big data technologies platform (Apache Spark, Snowflake, cloud-based platforms - Microsoft Azure, AWS, etc.).
• Understanding of NLP & Large Language models with insights on potential business applications in insurance.
• Demonstrated problem-solving skills and the ability to approach business challenges with a data-driven mindset.
• Experience in leading a statistical/actuarial-based analytical project.
• Proficient in Microsoft Office Suite and demonstrated ability to learn other software as needed.
• Ability to travel on an occasional basis.

We offer a competitive compensation plan and robust benefits package for full-time regular employees. The actual salary for this position will be determined by a number of factors, including the scope, complexity, and location of the role; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment.

We are an equal opportunity employer and do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law.