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New Grad Data Scientist Jobs in Utah (NOW HIRING)

Data Scientist FT / PT Status - Full-Time Salary - $33.63 - $56.31 Hourly Wage Remote Work / In ... new Analytics Engineering function. * Serve as the internal subject matter expert on data ...

Title and Summary Data Scientist I Who is Mastercard? As a global technology company our mission at ... For example, by investigating/proposing new data sources, encouraging cross team working, managing ...

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

The Lead Data Scientist is pivotal in generating insights and supporting the enterprise's data ... Establishing and executing the framework for engaging enterprise partners to plan new AI solutions ...

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... Workson groundbreaking new applications of machine learning and analytic technology toHealthcare ...

Data Scientist

Lehi, UT · On-site

$90 - $120/hr

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... Works on groundbreaking new applications of machine learning and analytic technology to Healthcare, ...

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... Workson groundbreaking new applications of machine learning and analytic technology toHealthcare ...

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... Works on groundbreaking new applications of machine learning and analytic technology to Healthcare, ...

We are seeking a dedicated Data Scientist III with a passion for statistics, machine learning, and ... Design and implement experiments and processes for evaluating business performance, new products ...

We are seeking a dedicated Data Scientist III with a passion for statistics, machine learning, and ... Design and implement experiments and processes for evaluating business performance, new products ...

We are seeking a dedicated Data Scientist III with a passion for statistics, machine learning, and ... new criteria and/or strategies.* **Experimental Design and Evaluation:** + Design and implement ...

Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, evaluating and recommending new technologies and methodologies. * Contribute to the strategic ...

New

Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, evaluating and recommending new technologies and methodologies. * Contribute to the strategic ...

New

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ... is used to determine new hire rates/salaries and takes into consideration multiple factors ...

As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ... is used to determine new hire rates/salaries and takes into consideration multiple factors ...

Senior Data Scientist

Lehi, UT · On-site

$107.90 - $183.40/hr

Senior Data Scientist - Overview nCino's Data & AI team is seeking a Senior Data Scientist to build ... The range reflects the minimum and maximum for each posting and is used to determine new hire rates.

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Showing results 1-20

New Grad Data Scientist information

See Utah salary details

$34.1K

$111.7K

$178.9K

How much do new grad data scientist jobs pay per year?

As of Aug 15, 2026, the average yearly pay for new grad data scientist in Utah is $111,737.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,700.00 and $123,800.00 per year, depending on experience, location, and employer.

What is a new grad data scientist?

New Grad Data Scientists are recent graduates who have completed a degree in a related field such as computer science, statistics, mathematics, or engineering, and have started their careers in data science. They apply statistical analysis, machine learning, and data visualization techniques to help organizations make data-driven decisions. Typically, new grads in these roles work closely with experienced data scientists, learning best practices and gaining practical experience while contributing to real-world projects. Employers generally expect them to have experience with programming languages like Python or R, and familiarity with data analysis tools and concepts.

What are the key skills and qualifications needed to thrive as a new grad data scientist?

To thrive as a New Grad Data Scientist, you need a solid background in statistics, mathematics, and programming—typically with a degree in a relevant field such as computer science or data science. Familiarity with tools and languages like Python, R, SQL, and experience with machine learning frameworks or data visualization platforms is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you interpret data and convey insights to stakeholders. These competencies are crucial for transforming data into actionable business solutions and contributing to data-driven decision-making.

What are some common challenges new grad data scientists face when transitioning from academia to industry?

New grad data scientists often find that real-world data is messier and less structured than academic datasets, requiring strong data cleaning and wrangling skills. Additionally, they may need to adapt to working within cross-functional teams, collaborating closely with engineers, product managers, and business stakeholders to align their analyses with organizational goals. Prioritizing impactful projects under tight deadlines and communicating complex findings in a clear, actionable manner are also key challenges. Building these practical skills early can significantly accelerate both learning and career advancement.

What is the difference between New Grad Data Scientist vs Data Analyst?

AspectNew Grad Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing departments
Employer & Industry UsageUsed across industries for predictive modeling and researchUsed for reporting, data visualization, and descriptive analysis

New Grad Data Scientists typically focus on building models and advanced analytics, requiring knowledge of programming and machine learning. Data Analysts mainly handle data reporting and visualization, often using tools like Excel and SQL. Both roles are entry-level but differ in technical depth and project scope, with Data Scientists often engaging in more complex data modeling tasks.

What cities in Utah are hiring for New Grad Data Scientist jobs?

Cities in Utah with the most New Grad Data Scientist job openings:

Infographic showing various New Grad Data Scientist job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $111,737 per year, or $53.7 per hour.

Data Scientist

Bear River Mutual Insurance Company

Salt Lake City, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Job description

Description:Data Scientist

Location: Murray, Utah
Work Arrangement: In-Office / Hybrid


About the Role

We're looking for a Data Scientist to join Bear River Mutual Insurance.

As a Data Scientist, you'll build and deploy predictive models that directly influence business decisions and outcomes. You'll partner closely with teams across underwriting, claims, information technology, and customer service to uncover opportunities where data can improve decision-making, strengthen performance, and create better experiences for our policyholders.

Success in this role isn't measured simply by building models, it's measured by the impact those models have on the business. From improving underwriting decisions to identifying fraud and strengthening customer retention, your work will help make Bear River Mutual smarter, more efficient, and better positioned for the future.

This position is based in Murray, Utah. At Bear River Mutual, we value in-person collaboration and believe some of our best ideas come from working together, building relationships, and learning from one another.


What You'll Be Responsible For
  • Build, validate, and deploy predictive models, including claim cost modeling, customer retention modeling, underwriting risk scoring, and fraud detection.
  • Explore new data sources and evaluate their potential value for modeling and business insights.
  • Monitor model performance and contribute to model governance and performance tracking practices.
  • Partner with underwriting, claims, information technology, and customer service teams to understand business challenges and identify data-driven solutions.
  • Present findings and recommendations in a way that's meaningful to both technical and non-technical audiences.
  • Perform ad hoc analyses to support strategic and operational business decisions.
  • Collaborate with the broader analytics team on cross-functional initiatives and continuous improvement efforts.
Success in This Role

In this role, you'll:

  • Develop analytical solutions that improve business decisions and measurable outcomes.
  • Build trusted partnerships across departments by understanding business needs and delivering practical insights.
  • Communicate complex information in a way that helps others make informed decisions.
  • Continuously evaluate, refine, and improve predictive models to ensure they remain effective over time.
  • Contribute to a culture of collaboration, curiosity, and continuous improvement.
About You
  • You Put People First: You treat others with dignity and respect, build positive relationships, and communicate with professionalism and empathy.
  • You Stay Connected: You collaborate effectively, share information openly, and recognize the value of working together toward common goals.
  • You Are Accountable: You take ownership of your work, exercise sound judgment, and follow through on commitments. You can be counted on to do what you say you'll do.
  • You Deliver Service: You understand that your work ultimately supports our policyholders, business partners, and employees by helping improve decisions and outcomes.
  • You Value Relationships: You recognize that successful analytics begins with understanding people, not just data. You build trust by listening, communicating clearly, and partnering effectively across the organization.
  • You Care About Quality: You take pride in producing accurate, thoughtful work and understand that attention to detail leads to stronger outcomes.
  • You Balance Urgency with Judgment: You know when to move quickly and when to slow down, validate assumptions, and make thoughtful decisions.
  • You Embrace Continuous Improvement: You enjoy finding better ways to solve problems, improve processes, and create value through data.
  • You Are Adaptable: You remain open to change, new ideas, and evolving business needs while maintaining a focus on quality and results.
  • You Balance Experience with Curiosity: Whether you're bringing years of experience or building new expertise, you're committed to continuous learning, embracing new ideas, and adapting as technology, our industry, and our business evolve.
QualificationsRequired Qualifications
  • Bachelor's degree in Statistics, Computer Science, Economics, Actuarial Science, or another quantitative field.
  • Three or more years of experience building and deploying predictive models.
  • Proficiency in Python, SQL, and Git.
  • Strong understanding of statistical and machine learning principles.
  • Ability to communicate technical concepts effectively with both technical and non-technical audiences.
Preferred Qualifications
  • Experience in insurance, financial services, or another regulated industry.
  • Familiarity with model governance frameworks or risk management practices.
What We Offer
  • Competitive compensation with opportunities to participate in our performance-based bonus and profit-sharing programs
  • Comprehensive medical, dental, and vision coverage, plus employer-funded Health Savings Account (HSA) contributions for eligible medical plans
  • Company-paid life insurance and long-term disability coverage
  • A 401(k) with company match and a company-sponsored pension plan to help support your long-term financial goals
  • Generous paid time off, company-paid holidays, and a floating holiday to support work-life balance
  • Education reimbursement for approved programs to support your professional growth
  • Employee discounts on Bear River Mutual personal insurance products
  • The opportunity to work with talented, dedicated professionals who are committed to serving our policyholders and supporting one another
  • A collaborative environment built on our core values of People First, Connected, Accountable, and Service
  • The stability and strength of an organization that has proudly served Utah families for more than a century
Ready to Join Us?

If you're looking for meaningful work, enjoy solving complex problems, and want to make an impact at an organization with a strong legacy and a bright future, we'd love to hear from you.

Bear River Mutual Insurance Company is proud to be an Equal Opportunity Employer.


Why Bear River Mutual?

Established in 1909, Bear River Mutual is Utah's oldest and largest personal lines property and casualty insurer.

As a mutual insurance company, we're owned by our policyholders, not shareholders. That means we make decisions with a long-term perspective, always focused on serving our members, supporting our employees, and strengthening the communities we serve.

With fewer than 200 employees, every team member has the opportunity to make a meaningful impact. Here, your work is visible, your ideas matter, and your contributions help shape the future of our organization.


Our Values

Our values guide how we work, how we serve others, and how we make decisions every day.

  • People First: We treat every person with dignity and respect. We listen, communicate openly, and approach every interaction with professionalism, empathy, and care.
  • Connected: We work as one team. We collaborate across departments, share information openly, and recognize that our collective success is greater than any individual achievement.
  • Accountable: We do what we say we'll do. We take ownership of our work, act with integrity, and make thoughtful decisions that support our members, agents, and colleagues.
  • Service: We care for people. We strive to provide prompt, dependable support and create positive experiences in every interaction.
Requirements: