Sr. Data Scientist
4 weeks ago
This role can be based in one of three offices:
- Glen Allen, VA
- Irving, TX
- Urbandale, IA
Responsibilities
As aSenior Data Scientist,you will play a pivotal role in driving data-driven decision-making processes and developing advanced analytical models. This may involve leading or participating in cross functional/operating units' collaborations to define and develop applications of Artificial Intelligence and Machine Learning towards solving insurance problems. Well trust you to build, refine and improve existing models as well as develop new techniques and applications to different areas of insurance. To be successful, youll need a blend of strong technical expertise, statistical analysis, software engineering coupled with a deep understanding of the insurance industry.
Well count on you to:
- Collaborate with cross functional teams, including Actuaries, Underwriters, Product Managers 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.
What you need to have:
- Master's degree in either 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 end points 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 and have knowledge of Microsoft Office Suite as well as demonstrated ability to learn other software as needed
- Ability to travel on an occasional basis
- Insurance industry experience
- Attention to details, a passion for data curiosity and ability to thrive in a dynamic and collaborative environment.
- Demonstrated excellence in problem solving, analytical, research and quantitative analysis skills.
- Strong communication skills, written and verbal, including the ability to facilitate meetings and present at all levels of the organization.
- Ability to manage multiple projects and timelines across a variety of stakeholders to meet target deliverable deadlines.
The company offers 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.
Sponsorship Details
Sponsorship not Offered for this Role
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, 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. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
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