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Data Scientist Insurance Jobs in California (NOW HIRING)

Data Scientist

San Francisco, CA · On-site

$120K - $155K/yr

The Role Verse is seeking a Quantitative Analyst to join our Data Science Team. In this position ... Comprehensive benefits package including medical, dental and vision insurance, and 401k * Flexible ...

Clinical Data Scientist

San Francisco, CA · On-site

$140K - $160K/yr

The Role Clinical Data Scientists at Unlearn build world-class data products that underpin advances ... Generous equity participation * 100% company-covered medical, dental, & vision insurance plans ...

As a Senior Data Scientist on the Fraud team, you will own the design and deployment of ML ... Employer-paid life and disability insurance, fertility benefits, and mental health benefits * Time ...

Sr. Data Scientist

San Jose, CA · On-site

$158K - $218K/yr

Sr. Data Scientist Department: Research & Development Employment Type: Full Time Location: US ... Short-term and long-term disability insurance in accordance with those plans. * Basic Life ...

Sr. Data Scientist

San Jose, CA · On-site

$158.55 - $218.10/hr

Sr. Data Scientist Department: Research & Development Employment Type: Full Time Location: US ... Basic Life Insurance and Accidental Death and Dismemberment. Voluntary Supplemental Life Insurance ...

Senior Data Scientist

San Jose, CA · On-site

$179K - $212K/yr

Roku is looking for a Senior Data Scientist to join the Core Analytics team supporting the Roku TV ... This role is eligible for health insurance, equity awards, life insurance, disability benefits ...

... Insurance - 401(k) - Maternity & Parental Leave - Flexible PTO - Amazon Employee Discount BASIC QUALIFICATIONS - 3+ years of data scientist experience PREFERRED QUALIFICATIONS - Master's or PhD in ...

Sr. Data Scientist

San Jose, CA · On-site +1

$158K - $218K/yr

Description The Sr. Data Scientist in the Research and Development (R&D) group at Align works ... Short-term and long-term disability insurance in accordance with those plans. * Basic Life ...

Data Scientist II

Irvine, CA · On-site

$121K - $166K/yr

Overview We are looking for a Data Scientist II to support analytics, machine learning, and AI ... pet insurance, wellness challenges and support, paid time off, Employee Resource Groups (ERG ...

Data Scientist II

Irvine, CA · On-site

$121K - $166K/yr

Overview We are looking for a Data Scientist II to support analytics, machine learning, and AI ... pet insurance, wellness challenges and support, paid time off, Employee Resource Groups (ERG ...

The Sr. Data Scientist in the Research and Development (R&D) group at Align works closely with our ... Short-term and long-term disability insurance in accordance with those plans. * Basic Life ...

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations ... insurance, family-forming assistance, and a mental health program, among others. To learn more ...

Join Crusoe Energy as a Senior Data Scientist, an early and pivotal hire on our growing central ... Paid life insurance, short-term and long-term disability * Professional development & tuition ...

Senior Data Scientist

Sunnyvale, CA · On-site

$166 - $200/hr

About This Role Join Crusoe Energy as a Senior Data Scientist, an early and pivotal hire on our ... Paid life insurance, short‑term and long‑term disability * Professional development & tuition ...

Senior, Data Scientist

San Leandro, CA · On-site

$117K - $234K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Senior, Data Scientist

Newark, CA · On-site

$117K - $234K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Senior, Data Scientist

Daly City, CA · On-site

$117K - $234K/yr

Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Showing results 41-60

Data Scientist Insurance information

See California salary details

$37K

$121.1K

$193.9K

How much do data scientist insurance jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data scientist insurance in California is $121,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 per year, depending on experience, location, and employer.

What does a data scientist do in the insurance industry?

A Data Scientist in the insurance industry analyzes large volumes of data to identify trends, predict risks, and improve decision-making processes. They use statistical models, machine learning, and data visualization to assess policyholder behavior, detect fraud, and optimize pricing strategies. Their work helps insurance companies create better products, reduce losses, and provide more personalized services to clients.

What are the key skills and qualifications needed to thrive as a data scientist in the insurance industry?

To thrive as a Data Scientist in insurance, you need strong statistical analysis, data modeling, and programming skills, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Python, R, SQL, SAS, and machine learning frameworks, along with relevant certifications, is typically required. Exceptional problem-solving, communication, and business acumen help translate complex data insights into actionable strategies for underwriting, claims, and risk assessment. These skills are essential for driving data-driven decisions, optimizing processes, and maintaining a competitive edge in the insurance sector.

What is the difference between Data Scientist Insurance vs Data Analyst Insurance?

AspectData Scientist InsuranceData Analyst Insurance
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; often some programming skillsBachelor's in Statistics, Mathematics, or related fields; basic data analysis skills
Work EnvironmentDeveloping predictive models, advanced analytics, machine learning projectsData reporting, data cleaning, basic analysis, generating reports
Employer & Industry UsageInsurance companies, tech firms, consulting agenciesInsurance firms, financial institutions, marketing teams

Data Scientist Insurance roles focus on advanced analytics, machine learning, and predictive modeling, requiring stronger technical skills. Data Analyst Insurance positions involve data reporting, basic analysis, and supporting decision-making with less emphasis on complex modeling. Both roles are vital in the insurance industry but differ in technical depth and responsibilities.

How do data scientists in the insurance industry typically collaborate with underwriters and actuaries?

Data Scientists in insurance work closely with underwriters and actuaries to develop predictive models, risk assessments, and pricing strategies. Collaboration often involves regular meetings to discuss business requirements, share model outputs, and interpret analytical findings in the context of insurance products. Data Scientists translate complex data insights into actionable recommendations, ensuring that technical solutions align with regulatory standards and business objectives. This teamwork helps optimize decision-making and enhances the accuracy of risk evaluation.
What cities in California are hiring for Data Scientist Insurance jobs? Cities in California with the most Data Scientist Insurance job openings:
Infographic showing various Data Scientist Insurance job openings in California as of August 2026, with employment types broken down into 1% As Needed, 65% Full Time, 28% Part Time, 2% Temporary, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

Data Scientist

Verse

San Francisco, CA • On-site

$120K - $155K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago


Job description

Location: San Francisco (Hybrid in SF highly preferred, US only)

What is Verse?

The race to AI has become the race to power. Every breakthrough in artificial intelligence depends on one thing: access to electricity. But across the country, aging grid infrastructure and years-long interconnection queues are slowing the deployment of the data centers that will power the next generation of innovation. Solving this challenge isn't just about energy-it's about unlocking the future of AI.
At Verse, we're building the energy intelligence platform for the AI economy. Our software helps the world's largest energy consumers achieve faster, cheaper, and cleaner power by combining real-time control of energy assets with complete visibility into their energy portfolio. Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale batteries, energy markets, and enterprise software, we're redefining how the world's most ambitious organizations access and manage energy.

The Role

Verse is seeking a Quantitative Analyst to join our Data Science Team. In this position, you will own research projects end-to-end from problem formulation through model development to production integration. Your work feeds directly into Aria and into decisions our customers make about how to procure, dispatch, and hedge their energy assets. For example, you might spend a cycle backtesting financial performance of renewable energy projects, encoding bespoke energy contract terms into reusable and scaled models, or developing a probabilistic model for medium-term energy price scenarios.

Key Responsibilities

  • Model & Forecast: Build and improve models for renewable generation, storage dispatch, and energy price prediction using machine learning, statistical methods, and optimization techniques.
  • Own Research Projects: Scope problems with product, engineering and customer teams, design solutions, validate results against industry benchmarks, and communicate findings clearly to both technical and non-technical audiences.
  • Software Development & Productionization: Integrate research outputs into Verse's cloud-based production environment; write clean, well-documented Python code and leverage AI coding tools to accelerate development.
  • Develop Domain Expertise: Build foundational knowledge of electricity markets and renewable energy trends; develop an understanding of key drivers (e.g., load growth, market rule changes, and renewable deployment) and learn to incorporate relevant insights into renewable energy PPA modeling and analysis.

What We're Looking For (Minimum Qualifications)

  • Master's degree in a quantitative field (engineering, computer science, economics, mathematics, operations research, physics, or similar); or
  • Bachelor's degree and 2+ years of energy sector experience
  • Solid foundations in machine learning and statistical modeling
  • Proficiency in Python, including scientific computing libraries (NumPy, pandas, scikit-learn)
  • Familiarity with wholesale electricity market fundamentals and renewable energy technologies
  • Ability to communicate technical findings clearly to both technical and non-technical audiences

What Will Make You Standout (Preferred Qualifications)

  • Direct experience with US or European wholesale electricity markets or utility tariff structures
  • Experience with energy procurement, power purchase agreements, or risk management
  • Experience modeling the operational and/or economic behavior of solar, wind, or energy storage
  • Foundational knowledge of mathematical optimization
  • Experience shipping models to production in a commercial or research environment
  • Experience developing probabilistic forecasting models and quantifying uncertainty
  • A PhD in a relevant quantitative field.

What Makes Verse a Great Place to Work? 

  • Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first
  • Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders
  • Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection
  • Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations

Base Pay Range

$120,000 - $155,000

This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.

Benefits and Employee Perks 

  • Competitive compensation and equity grant at a high-growth start up 
  • Comprehensive benefits package including medical, dental and vision insurance, and 401k 
  • Flexible hours and unlimited PTO 
  • Diverse and inclusive working environment 

Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.