EvolutionIQ

About Us: EvolutionIQ’s mission is to improve the lives of injured and disabled workers and enable them to return to the workforce, saving billions of dollars in avoidable costs and lost productivity to the US and global economies and make insurance more affordable for everyone. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of <a href="https://www.evolutioniq.com/fr-fr/resources/evolutioniqs-award-winning-culture-three-years-running-as-an-inc-best-workplace" rel="noopener noreferrer ugc" target="_blank">Inc.’s Best Workplaces</a> 3 years in a row!
About You: As a Staff Data Scientist on the Data Science &amp; Insights team, you will serve as the analytics expert for your internal stakeholders, using data &amp; models to help them make better decisions. You thrive in dealing with ambiguous decision-making problems, small &amp; big data modeling and insight generation, both for clients and internal stakeholders. You’ll explore and analyze new datasets as we enter new markets and quickly make critical recommendations for your fellow team-mates in Engineering and Product Management. You love diving deep into hard analytical questions, striving in answering ambiguous open ended questions with clear data-driven insights and recommendations. You’re supercharged by having interesting, unsolved problems continually present themselves and inform both the technical as well as business side of the business for critical decisions.  You demonstrate ownership and leadership to build out the analytical muscle at EvolutionIQ and demonstrate value by clearly shaping the path of new developments and high ROI initiatives.
Your Impact: You will work closely with Engineering &amp; Product to improve our team and clients understanding of claims data; you work closely with business stakeholders to leverage internal data that demonstrates product ROI and give them mission-critical insights to steer the company in new high ROI directions. The ideal candidate will ensure EIQ tells excellent stories through data &amp; modeling that clearly and accurately communicate the impact and ROI of our products internally and externally. Additionally, you will partner with product managers to do rapid iterations on new product ideas, scope the business opportunity of new product features, and measure ROI of ongoing user engagement with a variety of products.
What You'll Achieve (Performance Outcomes): 
<ul>
<li>Support the decision-making of EvolutionIQ’s leadership team in critical recommendations such as which product features we should build as they lead to highest projected ROI or measuring impact of existing product through sophisticated experimental design setups that best leverage the user feedback we have on challenging small data, high variance outcome problems.</li>
<li>Uncover new product research directions (hypothesis generation) through exploratory data analysis and hypothesis testing.</li>
<li>Create data insights to win clients by helping define and build the sales &amp; marketing narrative </li>
<li>Present results to internal stakeholders as well as our clients in the insurance industry</li>
<li>Generate meta-analysis across clients to drive product &amp; sales strategies</li>
<li>Build, own, and standardize client-facing analysis and reporting on existing products across multiple clients and ROI dimensions</li>
<li>Work closely with the ML team to analyze the impact of modeling results, debug data issues, and communicate findings to colleagues and clients.</li>
<li>Write efficient and reliable relational database queries, create re-usable dashboards, write design documents, write clean &amp; maintainable code for reproducible analytics via CLI tools, perform code reviews, and maintain state-of-the-art engineering practices.</li>
<li>Continue to grow and learn in the data &amp; analytics space, focusing on business problems that require making sense of large-scale structured and unstructured datasets.</li>
<li>Oversee the integration of cross-organizational projects, drive improvements and recommendations for your engineering and product counterparts, and define operational goals and objectives.</li>
<li>Provide direction and accomplish results for business leaders through solving hard measurement problems that impact business bottom line </li>
</ul>
About You (Key Competencies):
<ul>
<li>7+ years of data analysis/quantitative experience, preferably within Machine Learning and Product environments</li>
<li>At least 2 years experience in mentoring or tech-leading junior analysts and business-critical analytics projects</li>
<li>Masters degree in statistics or equivalent quantitative field with strong focus on applied, data-driven solutions.</li>
<li>Sophisticated knowledge of statistics, linear &amp; non-parametric modeling, and advanced SQL engineering experience. </li>
<li>Designed, implemented, and analyzed A/B or multi-arm experiments with clear recommendations for product direction &amp; development.</li>
<li>Proficient in the use of Python, pandas, Jupyter notebooks, and SQL-based analytics dashboards (e.g., Google’s DataStudio / Looker or Tableau), and familiarity with standard statistical packages and visualization tools in Python. </li>
<li>Skilled data illustrator who makes market-ready graphs, slides, figures, and presentations</li>
<li>Excellent communication, storytelling, and presentation skills</li>
<li>Proven understanding of Product and Business analytics, fundamentals, and processes</li>
<li>Proven ability to synthesize data insights into actionable recommendations</li>
<li>Proven ability to handle large datasets via SQL and/or map-reduce analytics and data aggregation as needed.</li>
</ul>
Even Better if You Have:
<ul>
<li>PhD in statistics or related quantitative field with strong focus on applied, data-driven solutions.</li>
<li>Experience in Bayesian statistics and causal inference methods</li>
<li>Written production quality code for reproducible analytics pipelines</li>
</ul>
Work-life, Culture &amp; Perks: 
<ul>
<li>Compensation: The base salary range is up to $250K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package.</li>
<li>Well-Being: Medical, dental, vision, short &amp; long-term disability, life insurance and AD&amp;D, and 401k matching. Additional family, wellness, and pet benefits. </li>
<li>Home &amp; Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. </li>
<li>Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.</li>
<li>Growth &amp; Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement.</li>
<li>Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer.</li>
</ul>
 
EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Staff Data Scientist (Insurance Tech)

About Us: EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of<a href="https://www.evolutioniq.com/resources/evolutioniqs-award-winning-culture-three-years-running-as-an-inc-best-workplace" rel="noopener noreferrer ugc" target="_blank"> Inc.’s Best Workplaces</a> 3 years in a row and Built In’s Best Places to work in 2025 and 2026!
About You: As an ambitious AI / ML Engineer, you will play a key role in advancing our industry-leading medical synthesis product. You take strong ownership of your work and have a proven track record of leading projects end-to-end, from ideation and requirements gathering through architecture, implementation, deployment, and iteration. You are comfortable operating with a high degree of autonomy, making thoughtful architectural and technical decisions, and helping guide the direction of AI/ML solutions across the product. Thriving in a fast-paced startup environment, you stay current with the latest AI and machine learning research. You’re passionate about applying hybrid approaches that combine large language models (LLMs), statistical machine learning techniques, and retrieval-augmented generation (RAG) with embeddings-based models to deliver better, more reliable outcomes for our users.
In this Role You Will:
<ul>
<li>Lead AI/ML projects end-to-end, taking ownership from initial ideation and requirements gathering through architecture, development, deployment, and ongoing optimization</li>
<li>Make high-level architectural and technical decisions for AI/ML systems, balancing scalability, performance, reliability, maintainability, and business impact</li>
<li>Design, build, and deploy AI-powered and LLM-driven features for our claim synthesis product, including robust extraction of key information from complex medical documents and human-in-the-loop summarization workflows</li>
<li>Develop and implement hybrid machine learning solutions that leverage statistical models, LLMs, and embeddings-based retrieval techniques such as RAG to improve system accuracy, scalability, and robustness</li>
<li>Write clean, scalable, and efficient code while optimizing the performance of existing AI/ML systems in production</li>
<li>Collaborate closely with data labelers and subject matter experts (SMEs) to rigorously evaluate AI system outputs and continuously improve model performance</li>
<li>Partner closely with Product, Engineering, and other cross-functional teams to gather requirements, define technical approaches, prioritize work, and rapidly iterate on feedback</li>
<li>Provide technical leadership and guidance to other engineers, helping establish best practices and driving consistency across AI/ML solutions</li>
<li>Break down complex, ambiguous problems into well-defined technical solutions and drive projects forward while balancing short-term delivery with long-term architectural considerations</li>
<li>Translate cutting-edge AI/ML research and novel techniques into production-grade, reliable, and maintainable solutions that operate seamlessly in live customer environments</li>
</ul>
Skills Requirements:
<ul>
<li>5-8+ years of experience writing performant Python code following modern best practices</li>
<li>Minimum 1 year of experience building and deploying products powered by large language models (LLMs) in fast-paced, professional environments</li>
<li>Proven experience leading technical projects and driving them from concept through production deployment</li>
<li>Experience making architectural decisions for AI/ML systems and evaluating technical tradeoffs across scalability, reliability, performance, and maintainability</li>
<li>Hands-on experience with statistical machine learning techniques as well as hybrid approaches combining LLMs, retrieval-augmented generation (RAG), and embeddings-based models, including vector search and similarity measures</li>
<li>Proven ability to build and integrate API services within service-oriented or microservice architectures</li>
<li>Strong skills in evaluating and interpreting LLM outputs and AI model predictions, with a focus on aligning model behavior with real-world business and user outcomes</li>
<li>Expertise in prompt engineering and fine-tuning of large language models for domain-specific applications</li>
<li>Strong communication and collaboration skills, with the ability to influence technical direction and work effectively with Product, Engineering, SMEs, and other stakeholders</li>
</ul>
Bonus Points:
<ul>
<li>Experience translating state-of-the-art AI/ML research into production code</li>
<li>Comfortable collaborating with data labelers and subject matter experts to improve training data and evaluation processes</li>
<li>Experience building agentic or autonomous AI systems in production</li>
<li>Background working with multimodal data (e.g., images, audio)</li>
<li>Experience mentoring engineers or providing technical leadership across projects or teams</li>
</ul>
Work-life, Culture &amp; Perks: 
<ul>
<li>Compensation: The base salary range is $200-235K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package.</li>
<li>Well-Being: Medical, dental, vision, short &amp; long-term disability, life insurance and AD&amp;D, and 401k matching. Additional family, wellness, and pet benefits. </li>
<li>Home &amp; Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. </li>
<li>Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.</li>
<li>Growth &amp; Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement.</li>
<li>Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer.</li>
</ul>
 
EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Senior AI / ML Engineer (LLMs)

About Us: When someone is out of work with a serious injury or illness, the last thing they need is a claims process that's slow, confusing, or unfair. That's what EvolutionIQ is here to fix.
EvolutionIQ builds AI that helps insurance claims teams handle claims more accurately, fairly, and efficiently, so more people impacted by injury or illness can get back to their lives with dignity and stability. As part of CCC Intelligent Solutions (NASDAQ: CCC), we pair AI-native product development with something almost no one else in this market has: 40 years of proprietary data and deep relationships with the largest, most complex carriers in the world. It's a rare combination, and it's what lets us build products others can't.
Our people come first, and we think it shows. We've been named one of <a href="https://www.evolutioniq.com/resources/evolutioniqs-award-winning-culture-three-years-running-as-an-inc-best-workplace" rel="noopener noreferrer ugc" target="_blank">Inc.'s Best Workplaces </a>three years running, plus Built In's Best Places to Work in 2025 and 2026.
Your Impact:
This is a hands-on Senior Engineer role for someone who loves building. You'll spend most of your time writing code, shipping high-impact features, and solving meaningful technical problems across EvolutionIQ and CCC products. You'll leverage AI and agentic development tools as a core part of your daily workflow, helping modernize existing platforms while building new capabilities that improve the insurance claims experience.
You'll partner closely with Product, Data Science, and Data Engineering, moving comfortably between rapid prototyping and production-ready systems. This role is ideal for someone who enjoys diving into complex codebases, learning continuously, and making a measurable impact through software.
Key Responsibilities:
<ul>
<li>Build and enhance enterprise SaaS applications across EvolutionIQ and CCC products, spending the majority of your time writing production code.</li>
<li>Modernize existing systems by working through complex legacy platforms while contributing to new product development and scalable backend services.</li>
<li>Leverage AI-assisted and agentic engineering tools to accelerate development, improve engineering productivity, and rapidly prototype new ideas.</li>
<li>Partner closely with Product, Data Science, and Data Engineering to deliver scalable, intuitive applications while contributing to technical design, code reviews, and engineering best practices.</li>
</ul>
Requirements:
<ul>
<li>5+ years of engineering experience, with a track record of delivering features end-to-end by partnering with Product, defining scope, designing data models, implementing solutions, and maintaining them in production.</li>
<li>Strong hands-on experience with Python, plus experience building applications with TypeScript and/or JavaScript.</li>
<li>Experience designing scalable backend systems, including multi-tenant, multi-user architectures, with strong relational database design skills.</li>
<li>Comfortable using AI-assisted and agentic engineering tools as part of your daily development workflow and able to move between rapid prototyping and production development.</li>
<li>Experience writing technical design documents, participating in code reviews, and contributing to high engineering standards and best practices.</li>
<li>Ability to understand customer business problems, translate them into technical solutions, and clearly communicate business impact to both technical and non-technical stakeholders.</li>
<li>A collaborative, solutions-oriented engineer with excellent communication skills, strong ownership, curiosity, and the ability to work effectively across EvolutionIQ and CCC engineering teams.</li>
</ul>
Nice to Have:
<ul>
<li>Experience modernizing or working within existing enterprise applications and legacy systems.</li>
<li>Experience building AI-powered applications or working within the insurance, claims, or broader enterprise SaaS space.</li>
</ul>
Work-life, Culture &amp; Perks:
<ul>
<li>Compensation: The base salary range is $215-230K, with flexibility depending on a candidate's background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our generous compensation package.</li>
<li>Well-Being: Medical, dental, vision, short &amp; long-term disability, life insurance and AD&amp;D, and 401(k) matching. Additional family, wellness, and pet benefits.</li>
<li>Home &amp; Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work.</li>
<li>Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.</li>
<li>Growth &amp; Training: $1,000/year for each employee for professional development, as well as opportunities for tuition reimbursement.</li>
<li>Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa.</li>
</ul>
 
EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Senior Software Engineer (Insurance Tech)

About Us: EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of<a href="https://www.evolutioniq.com/resources/evolutioniqs-award-winning-culture-three-years-running-as-an-inc-best-workplace" rel="noopener noreferrer ugc" target="_blank"> Inc.’s Best Workplaces</a> 3 years in a row and Built In’s Best Places to work in 2025 and 2026!
About You: A Senior Machine Learning Engineer who thrives on first principles problems that no one has ever worked on before. You love innovation and making an immediate impact, and are constantly driving toward launch and delivery thanks to your high degree of ownership and control. You love working on new and challenging problems, not incremental or marginal improvements, and you're supercharged by having interesting, unsolved problems continually present themselves. 
In this Role, You Will:
<ul>
<li>Build ML models for production use</li>
<li>Perform in-depth exploratory data analysis to scope ML opportunities, identify potential issues in the data, and lay the groundwork for model design, training &amp; evaluation strategies</li>
<li>Suggest and implement new features to improve model performance and business logic</li>
<li>Write and review production-quality PRs daily</li>
<li>Translate client business problems into ML problems</li>
<li>Build scalable machine learning models for claim time series forecasting and NLP text understanding</li>
<li>Continue to grow and learn in the data &amp; ML space with a focus on business problems that require making sense of large-scale structured and unstructured datasets</li>
</ul>
Requirements:
<ul>
<li>2+ years of experience as a Machine Learning Engineer or Data Scientist, preferably in highly scalable production environments.</li>
<li>You have deep exposure to data science &amp; ML tech stacks (sklearn, Keras / PyTorch, tuning frameworks), data analysis &amp; modeling, feel at home in Python/Pandas/Jupyter, and strive for scalable technical concepts and solutions.</li>
<li>You have excellent written and verbal communication skills and can effectively correspond between technical and non-technical audiences.</li>
<li>You’re a team player who is solutions-oriented.</li>
<li>Experience leveraging Claude Code and related tools is a strong plus</li>
</ul>
Even Better if You Have the following:
<ul>
<li>Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, Kubernetes</li>
<li>Owned and deployed, and maintained model-serving pipelines in production</li>
<li>Expert skills at writing clean, efficient, and easy-to-understand code with unit tests and functional design patterns</li>
<li>Experience with advanced statistical modeling, especially probabilistic programming</li>
<li>Ambitious, collaborative, and empathetic values </li>
<li>A work style that is open to giving and receiving critical feedback and collaborating effectively across teams</li>
</ul>
Work-life, Culture &amp; Perks: 
<ul>
<li>Compensation: The base salary range is $190-225K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package.</li>
<li>Well-Being: Medical, dental, vision, short &amp; long-term disability, life insurance and AD&amp;D, and 401k matching. Additional family, wellness, and pet benefits. </li>
<li>Home &amp; Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. </li>
<li>Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.</li>
<li>Growth &amp; Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement.</li>
<li>Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer.</li>
</ul>
 
EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

EvolutionIQ

Open jobs at EvolutionIQ

Staff Data Scientist (Insurance Tech)

Senior AI / ML Engineer (LLMs)

Senior Software Engineer (Insurance Tech)

Senior Machine Learning (ML) Engineer (AI Insurtech)

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