ZipRecruiter

Log In

1

Fintech Data Science Jobs in Boston, MA (NOW HIRING)

Insurify

Technical Business Analyst

Cambridge, MA · On-site +1

$75K - $90K/yr

Insurify is one of America's fastest-growing MIT FinTech startups and has been recognized as one of ... and data science using SQL and Python. This role is about using data to make our company better ...

Insurify

Technical Business Analyst

Cambridge, MA

$75K - $90K/yr

Insurify is one of America's fastest-growing MIT FinTech startups and has been recognized as one of ... and data science using SQL and Python. This role is about using data to make our company better ...

Engageware

Principal Product Manager

Burlington, MA · On-site

$160 - $230/hr

Background in fintech, retail banking, wealth management, or branch digital transformation. * Technical background (engineering, data science, or architecture) -- enough to earn trust in a deeply ...

Alegeus

Senior Software Engineer II

Boston, MA · On-site

$104.30 - $177.80/hr

Senior Software Engineer II Do you want to shape the future of fintech and healthtech? Energized by ... Education Bachelor's degree in data science or a related field. Location & Work Arrangement This ...

HarbourVest

Director, Data Engineering

Boston, MA · Hybrid

$220K - $230K/yr

Our Quantitative Investment Science group is seeking a Lead Data Engineer to fully manage and ... Proven experience with data-centric testing and deployment of FinTech based applications, data ...

State Street Global Advisors

AI Developer, AVP

Burlington, MA · On-site

$54.75 - $75.25/hr

Collaborate with product, architecture, data science, and UX teams to deliver end-to-end solutions ... FinTech division of State Street. Together with State Street's middle- and back-office services ...

Xometry

Principal Software Engineer

Waltham, MA · Hybrid

$145K - $195K/yr

... Data Science team to ensure the "IQE" (Instant Quoting) engine performs with sub-second latency ... Experience in e-commerce, fintech, or B2B marketplaces where "click-to-buy" precision is critical

Xometry

Principal Software Engineer

Waltham, MA · On-site

$200K - $225K/yr

... Data Science team to ensure the "IQE" (Instant Quoting) engine performs with sub-second latency ... Experience in e-commerce, fintech, or B2B marketplaces where "click-to-buy" precision is critical

previous page

Showing results 41-60

All JobsFintech Data Science JobsFintech Data Science Jobs in Boston, MA

Fintech Data Science information

See Boston, MA salary details

$40.7K

$133.3K

$213.5K

How much do fintech data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for fintech data science in Boston, MA is $133,327.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $147,700.00 per year, depending on experience, location, and employer.

What is a fintech data scientist?

A Fintech Data Scientist is a professional who uses data analysis, machine learning, and statistical techniques to solve problems and create value within the financial technology (fintech) industry. They work with large amounts of financial data to develop predictive models, detect fraud, assess risk, and optimize financial products or services. Their expertise combines knowledge of finance, programming, and advanced analytics to help fintech companies make data-driven decisions and innovate in areas such as payments, lending, and investment. Fintech Data Scientists often collaborate with engineers, product managers, and business stakeholders to deliver actionable insights that drive business growth.

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

To thrive as a Fintech Data Scientist, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, mathematics, or a related field). Familiarity with tools such as Python, R, SQL, cloud computing platforms, and experience with financial data modeling or relevant certifications are typically required. Strong problem-solving skills, attention to detail, and effective communication are important soft skills that set top professionals apart. These skills and qualities are vital for extracting actionable insights from complex financial data, driving innovation, and ensuring regulatory compliance in the fast-evolving fintech industry.

How do fintech data scientists typically collaborate with product and engineering teams to develop new financial products?

In fintech, data scientists often work closely with product managers and engineering teams throughout the lifecycle of a financial product. They analyze user data and market trends to provide actionable insights during the product design phase, and collaborate with engineers to implement machine learning models into the product infrastructure. Regular cross-functional meetings and agile workflows are common, allowing data scientists to iterate on models based on feedback and evolving requirements. This collaborative environment ensures that data-driven solutions are robust, scalable, and aligned with business goals.

What is the difference between Fintech Data Science vs Fintech Data Analyst?

AspectFintech Data ScienceFintech Data Analyst
Required SkillsAdvanced statistical, programming, and machine learning skillsData interpretation, reporting, and basic analytics
CertificationsData Science certifications, programming coursesData analysis or business intelligence certifications
Work EnvironmentDeveloping models, algorithms, and predictive analyticsData reporting, dashboards, and data cleaning
Industry UsageCreating predictive models for risk, fraud detection, and customer insightsGenerating reports, supporting decision-making with data

Fintech Data Science involves building complex models and applying machine learning techniques, requiring advanced skills and certifications. Fintech Data Analysts focus on interpreting data, creating reports, and supporting business decisions with less technical complexity. Both roles are essential in the fintech industry but differ in technical depth and responsibilities.

Is data science good for fintech?

Data science is highly valuable in fintech, as it enables the development of algorithms for risk assessment, fraud detection, and personalized financial services. Fintech companies often rely on data analysis, machine learning, and statistical modeling to improve decision-making and customer experience. Skills in programming, data manipulation, and financial knowledge are essential for data scientists in this field.

Is fintech data science a high paying career?

Fintech data science is generally a high-paying career due to the demand for advanced analytics and machine learning skills in financial technology companies. Salaries often depend on experience, education, and technical expertise in tools like Python, R, and SQL, with senior roles earning significantly more. The field offers competitive compensation compared to many other data science roles across industries.

What are popular job titles related to Fintech Data Science jobs in Boston, MA?

For Fintech Data Science jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Fintech Data Science jobs in Boston, MA look for?

The top searched job categories for Fintech Data Science jobs in Boston, MA are:

Fintech Data Science jobs near you
Infographic showing various Fintech Data Science job openings in Boston, MA as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 64% In-person, 18% Hybrid, and 18% Remote job distribution, with an average salary of $133,327 per year, or $64.1 per hour.

Technical Business Analyst

Insurify

Cambridge, MA • On-site, Remote

$75K - $90K/yr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 14 days ago

Job description

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
  • $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

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:
  • Analyze a novel dataset to recommend areas for the business to improve
  • Operate and improve a core data product optimizing for multiple competing KPIs
  • Build new data pipelines to support tracking of a new business initiative
  • Innovate data modeling and data presentation to drive business understanding
  • Improve prediction accuracy of our customer acquisition machine learning bidding algorithms
  • Build reports and dashboards to help power the company's decision making
  • Do customer segmentation analysis to discover where to improve Insurify products

Key Skills
  • Bachelors in computer science, analytics, economics, or other STEM major required
  • Strong quantitative and programming skills with a product-driven sensibility
  • Quick learning ability and a drive suitable for the startup hustle
  • A friendly cooperative disposition and an eagerness to learn
  • Python (preferred) or R
  • 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!
  • Expertise in and real-world experience with SQL

Nice to have skills
  • Website tracking. HTML, Javascript, website tracking analytics, pixel and event tracking
  • Familiarity with production data systems, big data, Apache Spark, dbt, and SQL
  • R, C++, C#, Javascript
  • Any domain specific experience relevant to Marketing, SEO, Retention, Product
  • Knowledge of statistics
  • Experience in data analysis in consumer / retail / e-Commerce / SaaS

Benefits
  • Competitive compensation
  • Generous stock options
  • Health, Dental Coverages
  • 401K plan with match
  • Unlimited PTO
  • Generous company holiday calendar
  • Learning & Development Stipends
  • Paid Family Leave
  • Social impact volunteer time
  • Catered lunches in the office

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:
$75,000-$90,000
We are proud to be an Equal Employment Opportunity and Affirmative Action employer.

Apply