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
- Partner closely with the Marketing team to assist in the development of more sophisticated bidding and targeting methodologies across Paid Search, Retargeting, and Email campaigns
- Develop models and algorithms to personalise the ranking of results in the product
- Identify opportunities, propose experiments and develop models to improve customer conversions
What you need to succeed
- 4+ years of relevant experience
- Experience with building and using machine learning models with clear business impact
- Strong skills and experience in Python (numpy, pandas, sklearn, etc) and SQL
- Quick learning ability and a drive suitable for the startup hustle
- As an early member of a small team, emphasise on interactive approach to delivering data products
- Experience with clarifying a business problem, identify and implement good solution
- Curiosity about data, outliers, using data to propose and confirm causes and effects
- Strong quantitative and programming skills with a product-driven sensibility
- Graduate Degree in technical/quantitative disciplines
- Fluent spoken and written use of English language
Benefits
- 25 days annual leave
- Enhanced private medical, dental and vision insurance plans
- Yearly wellbeing budget or Multisport card
- Personal budget for learning and books
- Office kitchen and fun area with snacks and beverages
- Regular social events
- Friendly office culture
- Hybrid office
Skills Required
- 4+ years of relevant experience
- Experience with building and using machine learning models
- Strong skills in Python and SQL
- Graduate Degree in technical/quantitative disciplines
Insurify Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Insurify and has not been reviewed or approved by Insurify.
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Leave & Time Off Breadth — Feedback suggests time off is relatively expansive, including unlimited paid time off and holidays off. Flexibility-oriented time-off practices are positioned as a meaningful part of the overall package.
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Retirement Support — Feedback suggests retirement benefits include a 401(k) plan with matching contributions. This adds a longer-term savings component beyond base pay.
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Equity Value & Accessibility — Feedback suggests equity is part of the rewards package through stock options and references to company equity. This can increase perceived upside for certain roles compared to salary-only offers.
Insurify Insights
What We Do
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.
Why Work With Us
$1.3 Trillion market opportunity MIT alumni founders Female-led startup $130M total funding Strong leadership team with experience from many successful startups around the world
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