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Temporary Predictive Analytics Jobs (NOW HIRING)

TEGNA Inc.

People Analytics Analyst

Indianapolis, IN · On-site

... support predictive analytics, anomaly detection, and trend analysis. • Ensure data quality ... Our 401(k) program offers full, part-time and temporary employees the opportunity to contribute ...

AllSTEM Connections

Project Scheduler

Wheatfield, IN · On-site

$104K - $145K/yr

Key Responsibilities Baseline Development & Predictive Analytics • Integrated Baselines: Develop ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

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Is it worth being a data analyst in 2026?

A data analyst role remains valuable in 2026 due to ongoing demand for data-driven decision making across industries. Success typically requires skills in statistical analysis, data visualization tools, and programming languages like Python or SQL, making it a stable career choice for those with relevant expertise.

Can I be a data analyst with no experience?

Becoming a data analyst typically requires some knowledge of data analysis tools like Excel, SQL, or Python, and understanding of data visualization. While prior experience is helpful, entry-level roles may be available to those with relevant coursework, certifications, or strong analytical skills, and some employers offer on-the-job training.

Is 40 too late for data science?

Age is not a strict barrier for a career in data science or predictive analytics. Many professionals transition into the field later in life by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Success depends on your skills, experience, and ability to adapt to evolving tools and technologies.

Is 30 too late for data science?

Age is not a strict barrier for a career in data science or predictive analytics. Many professionals successfully transition into the field later in life by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Experience, continuous learning, and practical skills are more important than age in this industry.
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Temporary Predictive Analytics jobs near you
Infographic showing various Temporary Predictive Analytics job openings in the United States as of June 2026, with employment types broken down into 34% Full Time, 60% Part Time, and 6% Contract. Highlights an 99% Physical, and 1% Remote job distribution.
Senior Actuary - Pricing and Predictive Analytics

Senior Actuary - Pricing and Predictive Analytics

CRC Group

Dallas, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

The position is described below. If you want to apply, click the Apply button at the top or bottom of this page. You'll be required to create an account or sign in to an existing one.
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).
Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st Shift (United States of America)
Please review the following job description:
An Actuarial Services Senior Professional (ACAS or exam progressed candidate) will support pricing and predictive modeling initiatives across our specialty programs division. This role requires deep expertise in actuarial modeling, data analytics, and insurance pricing, along with the ability to independently execute advanced statistical analyses and influence business decisions.
The ideal candidate combines strong technical acumen with sound business judgment and excels at translating complex actuarial insights into actionable recommendations. This position partners closely with underwriting, analytics, and actuarial leadership.
KEY RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
Pricing & Predictive Analytics
  • Drive the development and ongoing optimization of actuarial pricing models.
  • Build and implement predictive models (e.g., GLMs and other statistical learning techniques) to improve pricing sophistication.
  • Conduct rate adequacy analyses, loss cost reviews, and trend analyses to support pricing decisions.
  • Execute actuarial rate reviews and update parameters within in-house pricing models.
  • Support pricing for large and complex accounts in partnership with underwriting teams.

Portfolio Analytics & Performance Monitoring
  • Lead profitability studies and quarterly portfolio reviews, providing actionable insights and underwriting recommendations.
  • Analyze portfolio performance using diverse data sources to identify trends, cost drivers, and emerging risks.
  • Develop and maintain portfolio management tools and pricing frameworks.

Data, Tools & Innovation
  • Build and automate data pipelines, dashboards, and analytical tools to improve efficiency and accuracy.
  • Leverage large and complex datasets, including incomplete or inconsistent data, to generate insights.
  • Drive innovation in pricing methodologies, data usage, and modeling techniques.
  • Contribute to development and enhancement of actuarial tools and infrastructure.

Cross-Functional Collaboration
  • Partner with underwriting, claims, finance, IT, and operations to align pricing strategies with business objectives.
  • Support program underwriting teams across multiple lines of business.
  • Collaborate with reserving actuaries and finance teams to ensure consistency in assumptions and profitability views.
  • Contribute to product development, including pricing support for new and existing programs.

EDUCATION AND EXPERIENCE
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Qualifications & Experience
  • ACAS or FCAS preferred; candidates with strong exam progress toward ACAS will be considered.
  • Approximately 7+ years of actuarial experience in commercial property & casualty insurance, with strong emphasis on pricing.
  • Strong experience in predictive modeling and pricing analytics.
  • Experience with segmentation, elasticity modeling, and portfolio optimization.
  • Exposure to machine learning and advanced analytics techniques is a plus.
  • Experience building end-to-end pricing or underwriting tools.
  • Experience with program business, MGAs, carriers, or reinsurance is a plus.
  • Strong knowledge of statistical modeling techniques, including GLMs and other machine learning methods.
  • Familiarity with Verisk ISO and S&P Global product suites.
  • Proficiency in Excel and actuarial analysis; experience with SQL, Python, or R is a plus.
  • Ability to clearly summarize analytical results for non-actuarial stakeholders.

General Description of Available Benefits for Eligible Employees of CRC Group: At CRC Group, we're committed to supporting every aspect of teammates' well-being - physical, emotional, financial, social, and professional. Our best-in-class benefits program is designed to care for the whole you, offering a wide range of coverage and support. Eligible full-time teammates enjoy access to medical, dental, vision, life, disability, and AD&D insurance; tax-advantaged savings accounts; and a 401(k) plan with company match. CRC Group also offers generous paid time off programs, including company holidays, vacation and sick days, new parent leave, and more. Eligible positions may also qualify for restricted stock units and/or a deferred compensation plan.
CRC Group supports a diverse workforce and is an Equal Opportunity Employer that does not discriminate against individuals on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status or other classification protected by law. CRC Group is a Drug Free Workplace.
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