Insurify

Warning: Fraudulent Job Adverts Beware of fraudulent activities claiming to represent Insurify. We are not associated with any entities soliciting personal information or payment. The safety of our job seekers is a top priority, and we actively work to prevent such incidents. Insurify will never request sensitive information or payment during the hiring process. Be cautious of text-only interviews, interviews conducted through Microsoft Teams, or suspicious offer letters.  Why us? 
Insurify is one of America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022 global and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design.
Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success.
Join us if you like
<ul>
<li>$1.3 Trillion market opportunity</li>
<li>MIT alumni founders</li>
<li>Female-led startup</li>
<li>$130M total funding</li>
<li>Strong leadership team with experience from many successful startups around the world</li>
</ul>
Insurify is looking for a Technical Business Analyst to be a part of a rotational analytics program. Analysts will have the opportunity to work within our Marketing, Product, Partnerships, and Engineering teams to solve cross-functional, high velocity, high impact analytics problems and scale the business using data.This will include a mix of business analytics, analytics engineering, product analytics, and data science using SQL and Python.
This role is about using data to make our company better across all areas of the business, so we want people who are excited to tackle a wide range of structured and unstructured problems using data! Solutions do not come in neat boxes.
This role requires candidates to work on a hybrid schedule out of our Cambridge, MA office.
All candidates considered will be asked to complete a pre-interview assessment as a part of the process.
Sample projects:
<ul>
<li>Analyze a novel dataset to recommend areas for the business to improve</li>
<li>Operate and improve a core data product optimizing for multiple competing KPIs </li>
<li>Build new data pipelines to support tracking of a new business initiative</li>
<li>Innovate data modeling and data presentation to drive business understanding</li>
<li>Improve prediction accuracy of our customer acquisition machine learning bidding algorithms</li>
<li>Build reports and dashboards to help power the company’s decision making</li>
<li>Do customer segmentation analysis to discover where to improve Insurify products</li>
</ul>
Key Skills
<ul>
<li>Bachelors in computer science, analytics, economics, or other STEM major required</li>
<li>Strong quantitative and programming skills with a product-driven sensibility</li>
<li>Quick learning ability and a drive suitable for the startup hustle</li>
<li>A friendly cooperative disposition and an eagerness to learn</li>
<li>Python (preferred) or R</li>
<li>A positive team player with a solid work ethic who is ready to pivot between projects, learn from mistakes, always move forward, and help build the next big thing in insurance!</li>
<li>Expertise in and real-world experience with SQL</li>
</ul>
Nice to have skills
<ul>
<li>Website tracking. HTML, Javascript, website tracking analytics, pixel and event tracking</li>
<li>Familiarity with production data systems, big data, Apache Spark, dbt, and SQL</li>
<li>R, C++, C#, Javascript</li>
<li>Any domain specific experience relevant to Marketing, SEO, Retention, Product</li>
<li>Knowledge of statistics</li>
<li>Experience in data analysis in consumer / retail / e-Commerce / SaaS</li>
</ul>
<div>
Benefits
<ul>
<li>Competitive compensation</li>
<li>Generous stock options</li>
<li>Health, Dental Coverages</li>
<li>401K plan with match</li>
<li>Unlimited PTO</li>
<li>Generous company holiday calendar</li>
<li>Learning &amp; Development Stipends</li>
<li>Paid Family Leave</li>
<li>Social impact volunteer time </li>
<li>Catered lunches in the office</li>
</ul>
Insurify is committed to offering a fair, competitive, and transparent compensation program that supports our mission to attract, retain, and motivate top talent. Our compensation philosophy is guided by several factors including a candidate’s relevant experience, education/training, job-related skills, and location.
In addition to the base salary our total compensation package includes health coverage, retirement contributions, and additional wellbeing benefits. Some positions may be eligible for company equity.
Below is the base compensation range for US locations:
$80,000-$90,000
</div><div><div>We are proud to be an Equal Employment Opportunity and Affirmative Action employer.</div></div>

Technical Business Analyst

Why us? Insurify is one of the America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022 global and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design. Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success. How you'll make an impact
<ul>
<li>Work and grow in a goal-focused, impact-driven full-stack data science team</li>
<li>Partner closely with Marketing to build more sophisticated bidding and targeting across Paid Search, Retargeting, and Email</li>
<li>Develop models and algorithms that personalise how results are ranked in the product</li>
<li>Spot opportunities, propose experiments, and build models that improve customer conversion</li>
</ul>
 What you need to succeed
<ul>
<li>1+ years of relevant experience</li>
<li>Experience building and applying machine learning models with clear business impact</li>
<li>Strong Python (numpy, pandas, sklearn) and SQL</li>
<li>Strong quantitative and programming skills with a product-driven sensibility</li>
<li>Ability to clarify a business problem, identify a good solution, and ship it</li>
<li>Curiosity about data and outliers — using data to propose and confirm cause and effect</li>
<li>Delivery focus: you get things done within a fixed timeline (math/CS competition background is a plus)</li>
<li>Interest in using AI to scale your impact</li>
<li>Quick learner with the drive for startup pace</li>
<li>Comfortable working iteratively and hands-on in a small team</li>
<li>Graduate degree in a technical/quantitative discipline</li>
<li>Fluent spoken and written English</li>
</ul>
  Benefits
<ul>
<li>25 days annual leave</li>
<li>Enhanced private medical, dental and vision insurance plans</li>
<li>Yearly wellbeing budget or Multisport card</li>
<li>Personal budget for learning and books</li>
<li>Office kitchen and fun area with snacks and beverages</li>
<li>Regular social events</li>
<li>Friendly office culture</li>
<li>Hybrid office</li>
</ul><div><div>We are proud to be an Equal Employment Opportunity and Affirmative Action employer.</div></div>

Machine Learning Engineer

Why us? 
Insurify is one of America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022, and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design. Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success.
<div>How you will make an impact</div>
<ul>
<li>Design, train, and iterate on ML models and algorithms that personalize the ranking of results within the product</li>
<li>Identify opportunities for applying machine learning, propose experiments, and build models to improve customer conversion and engagement</li>
<li>Take ownership of ML solutions end-to-end, from problem formulation and data exploration to model validation and iteration</li>
<li>Collaborate with engineers and stakeholders using modern development practices such as version control (Git), code reviews, and reproducible experimentation</li>
<li>Partner closely with the Marketing team to develop and improve machine-learning–driven bidding and targeting methodologies</li>
</ul>
<div>What you need to succeed</div>
<ul>
<li>4+ years of relevant experience</li>
<li>Experience building and using machine learning models with clear and measurable business impact</li>
<li>Strong skills and hands-on experience in Python (numpy, pandas, sklearn, etc.) and SQL</li>
<li>Comfortable working in production-oriented codebases, including using Git for version control</li>
<li>An interactive and collaborative approach to delivering ML-powered data products</li>
<li>Quick learning ability and a drive well-suited to a fast-paced startup environment</li>
<li>Experience clarifying ambiguous business problems and translating them into effective ML solutions</li>
<li>Curiosity about data, distributions, and outliers, with a strong interest in using data to propose and validate causes and effects</li>
<li>Strong quantitative and programming skills paired with a product-driven sensibility</li>
<li>Graduate degree in a technical or quantitative discipline</li>
<li>Fluent in spoken and written English and Bulgarian</li>
</ul>
<div>
Benefits
<ul>
<li>Employee stock options</li>
<li>25 days annual leave</li>
<li>Enhanced private medical, dental, and vision insurance plans</li>
<li>Yearly wellbeing budget or Multisport card</li>
<li>Personal budget for learning and books</li>
<li>Employee Assistance Program and other wellbeing perks</li>
<li>Office kitchen and fun area with snacks and beverages</li>
<li>Regular social events</li>
<li>Friendly office culture</li>
<li>Hybrid office</li>
</ul>
</div><div><div>We are proud to be an Equal Employment Opportunity and Affirmative Action employer.</div></div>

Senior Machine Learning Engineer

Why us? 
Insurify is one of the America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022 global and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design. Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success.
 
How you will make an impact:
<ul>
<li>Lead cross-functional projects from ideation to execution with a high degree of independence and maximum impact</li>
<li>Solve high velocity, high impact analytics problems</li>
<li>Scale the business using data</li>
<li>Work on a mix of analytics engineering, business analytics, and data science using SQL and Python</li>
<li>Build scalable data infrastructure that solves real problems</li>
</ul>
 
Sample projects:
<ul>
<li>Operate and improve a data product to serve evolving business needs</li>
<li>Refactor data system to scale with increased volume and new requirements</li>
<li>Build new data pipelines to support tracking of new business initiatives </li>
<li>Champion usage of new tools and systems to improve team processes</li>
<li>Improve the prediction accuracy of our customer acquisition machine-learning bidding algorithms</li>
<li>Perform customer segmentation analysis to discover where to improve Insurify products</li>
<li>Improve alerting systems to help us triage data quality issues at scale</li>
</ul>
 
Key Skills + Background
<ul>
<li>3-4 years of experience, record of impact and success in a similar role (Analytics or Data Engineering, Data Science, Data Analysis)</li>
<li>Expertise in and real-world experience with SQL</li>
<li>Exposure to data warehousing and ETL concepts </li>
<li>Strong quantitative and programming skills - Python (preferred) R, Rust, Go, Ruby, C++ also good</li>
<li>Bachelors / Masters in Mathematics, Engineering, CS, Economics, or other technical major</li>
<li>Quick learning ability and a drive suitable for the startup hustle.</li>
<li>A positive team player with a solid work ethic who is ready to pivot between projects, learn from mistakes, always move forward, and help build the next big thing in insurance!</li>
</ul>
 Benefits
<ul>
<li>Employee stock options</li>
<li>25 days annual leave</li>
<li>Enhanced private medical, dental and vision insurance plans</li>
<li>Yearly wellbeing budget or Multisport card</li>
<li>Personal budget for learning and books</li>
<li>Employee Assistance Program and other wellbeing perks</li>
<li>Office kitchen and fun area with snacks and beverages</li>
<li>Regular social events</li>
<li>Friendly office culture</li>
<li>Hybrid office</li>
</ul><div><div>We are proud to be an Equal Employment Opportunity and Affirmative Action employer.</div></div>

Insurify

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Technical Business Analyst

Machine Learning Engineer

Senior Machine Learning Engineer

Senior Data Analytics Engineer

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