1

Temporary Machine Learning R Jobs in Illinois (NOW HIRING)

Advanced proficiency in analytical programming languages and tools (e.g., SQL, Python, R) * Experience working with large, complex datasets and applying statistical or machine learning methods to ...

Develop and refine machine learning models for cell-free circulating tumor DNA fraction estimation ... Computational skills using Python and/or R, including experience with data science and biological ...

Quantitative Researcher

Chicago, IL · On-site

$250K - $300K/yr

... R, MATLAB, or C++ for conducting research * Can advocate for your beliefs in a concise and effective way with the team * Significant hands-on experience applying machine learning algorithms to real ...

Showing results 41-60

Temporary Machine Learning R information

What is the difference between Temporary Machine Learning R vs Data Analyst?

AspectTemporary Machine Learning RData Analyst
Required SkillsProficiency in R, machine learning algorithms, statistical modelingData visualization, SQL, basic statistical analysis
Work EnvironmentProject-based, technical teams, research-focusedBusiness units, reporting, data cleaning
CertificationsR programming, data science certificationsNone specific, often business or analytics certifications

Temporary Machine Learning R roles focus on developing predictive models using R and machine learning techniques, often in research or technical environments. Data Analysts typically handle data cleaning, visualization, and reporting for business insights. While both roles require analytical skills, Temporary Machine Learning R positions demand specialized knowledge in machine learning and R programming, making them more technical and research-oriented.

What are the most commonly searched types of Machine Learning R jobs in Illinois?

The most popular types of Machine Learning R jobs in Illinois are:

What cities in Illinois are hiring for Temporary Machine Learning R jobs?

Cities in Illinois with the most Temporary Machine Learning R job openings:

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago


Job description

Company

Farm Family

Farm Family specializes in farm and ranch protection with a wide range of products including flexible farm packages, business owner policies, commercial package, workers compensation, commercial auto and select personal auto coverage. Farm Family is a leader in serving the Northeast and Mid-Atlantic markets and is pursuing growth across the U.S. The Farm Family entities are wholly-owned subsidiaries of Clearbrook Group Holdings Inc.


Job Description

The Senior P&C Data Scientist owns the development and improvement of analytical models and insights that inform pricing, underwriting, and portfolio management decisions. This role applies statistical, machine learning, and data analysis techniques to insurance data to improve risk segmentation and rate adequacy, supporting profitable growth across products and locations.

Operating with a high level of independence and accountability, the role partners closely with pricing actuaries, underwriting, claims, distribution, product, and IT professionals to translate business questions into analytical solutions, implement models into pricing workflows, and monitor performance over time. The Senior P&C Data Scientist also mentors lessexperienced team members and contributes to the continued maturation of the pricing analytics function.


Key Responsibilities

Pricing & Insurance Analytics

  • Develop, refine, and maintain analytical models supporting P&C pricing, including frequency, severity, pure premium, risk segmentation, persistency, and portfolio optimization models
  • Independently own pricing models translating analytical results into actionable recommendations
  • Apply insurance domain knowledge (e.g., coverage, exposure, underwriting rules, regulatory considerations) in model design, development, interpretation, and business use

Modeling & Data Science Execution

  • Own the endtoend analytical lifecycle for complex initiatives: data exploration, feature engineering, model building, validation, implementation, monitoring, and enhancement
  • Select and apply statistical and machine learning techniques appropriate for pricing use cases, balancing predictive performance, stability, interpretability, and regulatory considerations
  • Design and execute validation frameworks to assess model performance, stability, and business impact
  • Drive the implementation of models and analytical outputs into pricing and reporting workflows

Data & Technical Skills

  • Work independently with large, structured and semistructured datasets using SQL and analytical programming languages (e.g., Python or R)
  • Establish and uphold high standards for data quality, reproducibility, documentation, and version control
  • Follow model development best practices and model risk governance standards

Business Partnership & Communication

  • Serve as a trusted analytics partner to actuarial, underwriting, distribution, and product stakeholders
  • Translate technical analyses into clear, actionable insights using appropriate visualizations and written summaries
  • Influence decisionmaking by framing tradeoffs, risks, and opportunities using datadriven narratives
  • Respond to feedback and iterate on analyses to better support business decisions
  • Present analytical findings to senior management and crossfunctional leadership

Coaching & Continuous Improvement

  • Mentor and provide technical guidance to P&C Data Scientist I and II team members through code reviews, modeling discussions, and project support
  • Contribute to the development of analytical standards, best practices, and reusable modeling frameworks
  • Stay current on P&C industry trends, pricing methodologies, and analytical best practices within P&C insurance
  • Proactively identify opportunities to improve models, processes, data usage, and business outcomes within the pricing analytics function

Required Qualifications

  • Bachelor's degree in mathematics, statistics, actuarial science, computer science, data science, or a related quantitative field
  • Five years of relevant experience in data science, analytics, pricing, actuarial, or related quantitative roles. A master's degree may be considered in lieu of one to two years of experience
  • Advanced proficiency in analytical programming languages and tools (e.g., SQL, Python, R)
  • Experience working with large, complex datasets and applying statistical or machine learning methods to realworld business problems
  • Strong analytical judgment, problemsolving ability, and communication skills
  • Proven ability to work independently and own complex analytical models

Preferred Qualifications

  • Significant experience in Property & Casualty insurance, particularly pricing, ratemaking, underwriting analytics, or actuarial support
  • Familiarity with several predictive modeling techniques (e.g., GLMs, treebased models, gradient boosting)
  • Familiarity with regulatory and governance considerations related to pricing and underwriting
  • Experience implementing and monitoring models in production or business workflows
  • Experience mentoring and reviewing the work of junior coworkers

Job Level

  • The base salary range provided below is for hires in those geographic areas only and will be commensurate with candidate experience. Pay ranges for candidates in other locations may differ based on the cost of labor in that location. In addition to base salary, this position is eligible for an annual bonus based on company and individual performance as well as a generous benefits package.

Albany & Chicago Pay Range $102,000 - $152,000

Los Angeles & New York City Pay Range $112,000 - $160,000


PLEASE NOTE:

Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas.


If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at 210-321-8400.


Benefits and Compensation

We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.


Core Values

At Clearbrook our Core Values are Integrity, Collaboration, Pursuit of Excellence and Forward Thinking. These values reflect who we are today and who we apsire to be - guiding how we work, how we lead and how we succeed.