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Manager Data Scientist Jobs in Utah (NOW HIRING)

Data Scientist

Lehi, UT · On-site

$90 - $120/hr

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... This person will interact with teams from Account Management to Application Engineering and R&D, to ...

Data Scientist FT / PT Status - Full-Time Salary - $33.63 - $56.31 Hourly Wage Remote Work / In ... Please note, a position's eligibility for remote work is established by agency management and is ...

New

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... This person will interact with teams from Account Management to Application Engineering and R&D, to ...

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... This person will interact with teams from Account Management to Application Engineering and R&D, to ...

The data scientist role involves solving technical, data-driven Healthcare problems using computer ... This person will interact with teams from Account Management to Application Engineering and R&D, to ...

Seeking Data Scientist that performs tasks associated with Big Data Platform management, utilizes skills in programming languages, develops prototype algorithms, as well as algorithm refinements, and ...

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 ...

New

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 ... Senior Manager and above Direct Reports : 0 Work Environment * Normal office environment. (Remote ...

Summary The Sr Data Scientist will work in teams addressing statistical, machine learning and data ... Demonstrated awareness of data management methods Demonstrated awareness of real-time analytics ...

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ... Strong experience with SQL or noSQL and database management systems * Experience deploying and ...

... management systems • Experience deploying and monitoring models in production • Strong ... Data Science, Statistics, Mathematics, Computer Science or a related field • Experience ...

Senior Data Scientist

Lehi, UT · On-site

$107K - $183K/yr

As a Senior Data Scientist, you will collaborate with cross-functional stakeholders to identify ... Strong experience with SQL or noSQL and database management systems * Experience deploying and ...

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 ... Strong experience with SQL or noSQL database management systems. * Experience deploying and ...

Sr. Data Scientist

Lehi, UT · On-site

$80 - $120/hr

The data scientist will interact with teams from Account Management to Application Engineering and R&D to conduct detailed analysis and experimentation to maximize the utility of predictive modeling ...

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Showing results 1-20

Manager Data Scientist information

See Utah salary details

$41.9K

$150.2K

$221.7K

How much do manager data scientist jobs pay per year?

As of Aug 10, 2026, the average yearly pay for manager data scientist in Utah is $150,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $154,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Manager Data Scientist, you need expertise in statistical analysis, machine learning, data modeling, and a relevant degree such as in computer science, mathematics, or statistics. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and experience with data visualization software and project management methodologies are commonly required. Strong leadership, effective communication, and the ability to mentor and guide teams are vital soft skills in this role. These competencies ensure successful project delivery, drive data-driven business decisions, and foster a productive, innovative team environment.

What is the difference between Manager Data Scientist vs Data Scientist?

AspectManager Data ScientistData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareFound across industries, entry to mid-level roles

The main difference is that a Manager Data Scientist oversees data teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts data analysis and model development. The manager role involves more coordination, mentorship, and stakeholder communication, whereas the data scientist role emphasizes technical skills and hands-on analysis.

How does a manager data scientist typically collaborate with cross-functional teams to drive business outcomes?

As a Manager Data Scientist, you will work closely with teams such as engineering, product management, and business stakeholders to ensure data-driven solutions align with company goals. This collaboration often involves translating complex analytical findings into actionable insights, setting project priorities, and managing expectations. You will also facilitate communication between data scientists and non-technical teams to foster understanding and ensure successful project delivery. Building strong relationships and promoting a culture of data-driven decision-making are essential aspects of the role.

What is a manager data scientist?

Manager Data Scientists are professionals who oversee data science teams and projects within an organization. They combine advanced analytical skills with leadership abilities to guide data scientists, set project priorities, and ensure data-driven strategies align with business goals. In addition to technical expertise in data modeling, machine learning, and analytics, they are responsible for mentoring team members, managing resources, and communicating insights to stakeholders. Their role bridges the gap between technical execution and strategic decision-making.
What are the most commonly searched types of Data Scientist jobs in Utah? The most popular types of Data Scientist jobs in Utah are:
What cities in Utah are hiring for Manager Data Scientist jobs? Cities in Utah with the most Manager Data Scientist job openings:
Infographic showing various Manager Data Scientist job openings in Utah as of July 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $150,228 per year, or $72.2 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 4 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: