1

Senior Data Science Insurance Jobs in Florida (NOW HIRING)

Senior Data Scientist Location: Onsite 4 days a week, Friday remote (MUST RELOCATE or BE LOCAL ... Prompt Engineering - true Data Science, AI, ML * Able to work with stakeholders and help JR ...

New

We are looking to hire a Sr. Data Scientist. Princess Cruises operates an advanced and extremely ... Data science teams exist in Miami, Seattle, Italy, Germany, and the UK to support this development.

Senior Data Science Lead Primary Skills * Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models ...

Join our team at Haystack News as a Senior Data Scientist and become a pivotal force in redefining ... S. in Computer Science, Mathematics, Electrical Engineering, Statistics, Economics or Operations ...

Senior Manager, Data Science We are Lennar Lennar is one of the nation's leading homebuilders ... Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision ...

Senior Manager, Data Science We are Lennar Lennar is one of the nation's leading homebuilders ... Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision ...

Senior Manager, Data Science We are Lennar Lennar is one of the nation's leading homebuilders ... Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision ...

Job Title Senior Data Scientist Location Doral, FL 33122 US (Primary) Category Intelligence Job ... A Master's degree in Data Science, Machine Learning, Statistics, or a related field, or nine (9) ...

... science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry. * Sr. Data Scientist: 4 or more years of data science/predictive ...

... science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry. * Sr. Data Scientist: 4 or more years of data science/predictive ...

AtkinsRealis USA Inc. seeks a Sr. Data Scientist I in Tampa, FL. Under supervision, work ... Carry out job functions within small, project oriented, multidisciplinary teams of Data Science ...

next page

Showing results 1-20

Senior Data Science Insurance information

What is the difference between Senior Data Science Insurance vs Data Analyst Insurance?

AspectSenior Data Science InsuranceData Analyst Insurance
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with machine learningBachelor's in Data Analysis, Statistics, or related field; proficiency in data visualization and SQL
Work EnvironmentAdvanced analytics teams, cross-functional projects, predictive modelingReporting, data cleaning, basic analysis, dashboards
Employer & Industry UsageInsurance companies, financial services, risk assessmentInsurance firms, brokers, claims departments

Senior Data Science Insurance roles focus on developing predictive models and advanced analytics, requiring higher technical skills and experience. Data Analysts typically handle data reporting and basic analysis. Both roles are vital in insurance but differ in complexity and responsibilities.

What are the most commonly searched types of Data Science Insurance jobs in Florida? The most popular types of Data Science Insurance jobs in Florida are:
Senior Data Scientist

Other

Posted 10 days ago


Job description

Role
This role is for a Senior Data Scientist on a close-knit team supporting Air Force Special Operations Command (AFSOC) at Hurlburt Field, FL. This team is at the center of helping the command empower and leverage its data for more effective analysis and decision making. As a subject matter expert, the Senior Data Scientist will leverage their experience to gather and derive insights from complex data, assist the command with development initiatives, and facilitate digital transformation efforts. The work done in this role has a direct impact on mission readiness as the team's efforts go toward making a more resilient and data-driven organization.
 
Responsibilities

A Senior Data Scientist will have skills sets of both data analysts and data engineers. Senior Data scientists are responsible for designing, implementing, and maintaining a data pipeline.  In addition, data scientists shall interpret and analyze complex sets of data, as well as plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions. They understand some of the most challenging processes, technologies, and can leverage a vast array of methodologies in the field, such as data mining, natural language programming, and machine learning. 

Senior Data scientists must have a combination of skills that includes programming, mathematical modeling, statistics, and domain knowledge. They must combine an advanced math and statistics background with programming, domain knowledge, and communication skills to analyze data, create applied mathematical models, and present results in a form useful to the organization.  They must also be able to understand and manipulate structured and unstructured large data sets, which requires proficiency in distributed SQL programming, relational and non-relational data queries, general programming languages (such as Python and R,) and machine learning techniques.

The Senior Data Scientist shall perform the following tasks:
   Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.
   Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data
   Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
   Coordinate with Data Engineers to build Data environments providing data identified by other data professionals
   Apply and develop scientific methodology, statistics, and algorithms to discover and frame relevant problems, hypotheses, and opportunities. 
   Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced statistical techniques.
   Design and automate processes to facilitate the manipulation and analysis of data. Manage and integrate data across dissimilar data sets. Analyze large-scale structured and unstructured data. 
   Use frameworks such as Spark and Hadoop to conduct large-scale data processing. Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI and R Shiny. 
   Research, design, and implement algorithms to solve complex problems. Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages. 
   Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.
   Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling.

Requirements
  • A minimum of 1 year of hands-on Data Science experience is required.
  • Bachelor's Degree in a STEM field is required.
  • Proficient with one or more programming languages (Java, C++, Python, R, etc.)
  • Demonstrated ability to apply data science to solve real-world problems
  • Secret Clearance
Preferred Qualifications
  • Familiarity with DoD
  • Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. 
  • Familiarity with Envision