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Data Scientist

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Sammons Financial Group Companies
Full Time position
Listed on 2026-02-12
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

What You Can Expect In This Role

Responsible for contributing to and scaling advanced analytics within the Life Business Unit. Applies strong, developing-to-advanced skills in machine learning, statistical analysis, and data-driven decision making—along with emerging Generative AI capabilities—to design, prototype, and implement analytics solutions and decision-support tools. Works collaboratively with business and technology partners to deliver measurable outcomes, following established engineering, governance, and risk management standards.

What You'll Do In This Role
  • Apply statistics, machine learning, programming, and data modeling to identify patterns, generate hypotheses, and develop prototypes that improve business outcomes.
  • Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.
  • Design, develop, and evaluate predictive models and algorithms to extract value from structured enterprise data.
  • Identify, frame, and prototype Generative AI use cases that improve business outcomes (e.g., summarization, extraction, classification, enterprise Q&A, decision-support assistants) using approved enterprise tools and data sources.
  • Create and present materials that translate complex data analysis into easy-to understand stories with persuasive recommendations for all levels of management.
  • Support experimentation and measurement: analyze and interpret results from tests/experiments; communicate findings and recommendations to product, service, and business stakeholders.
  • Use a flexible, analytical approach to design, develop and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
  • Collaborate with both business and IT subject matter experts (SMEs) to implement and support solutions.
  • Provide thought leadership by researching best practices, conducting experiments, and demonstrating/articulating value proposition for the use of advanced analytics.
  • Write production-quality code and documentation that is clear, testable, and maintainable.
  • Participate in transformation, analytics, and customer journey initiatives as needed as part of the Life Operating Model.
  • Commitment to embrace Sammons Financial Group Companies shared values (Accountability, Connection, Openness, Respect and Integrity).
  • As stated within the Company Attendance and Punctuality policy, regular attendance is required and expected in order to meet the business service levels and workflow demands.
  • Participate in other initiatives and/or projects as necessary.
What We're Looking For
  • Bachelor's Degree in Computer Science, Statistics, Mathematics or related technical discipline Required
  • Master's Degree or PhD in Computer Science, Statistics, Mathematics or related technical discipline Preferred
  • Minimum 5 years' statistical or data science experience Required
  • Experience working with large data sets, simulation/optimization, and distributed computing tools strongly preferred
  • Experience with common data visualization tools such as Power

    BI or Tableau strongly preferred
  • Experience applying machine learning/statistics to business problems (modeling, measurement, and communicating results) Required
  • Experience in insurance and financial services, specifically life insurance and annuities strongly preferred
  • Experience with Hadoop, Azure, Snowflake or similar Preferred
  • Experience with initiatives such as life insurance underwriting, annuity suitability, sales modeling, fraud detection or claims Preferred
  • Hands‑on experience building proofs of concept or production quality features using LLMs (via approved APIs/platforms) Preferred
  • Proficiency with R, Python, SAS and/or background in programming required
  • Deep knowledge of machine learning statistics, optimization or related field required
  • Strong written and verbal communication skills including the ability to work with business leaders at all levels
  • Ability to independently research, analyze and resolve problem situations using good judgment and sound decision making
  • Strong interpersonal skills with ability to influence without authority, ability to adapt to change and ability to think creatively to accomplish results
  • Ability to…
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