1

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

Degree in MIS, Computer Science, or related technical degrees are not required, but are a plus ... data using AI, seamless integration capabilities, and proprietary automation technology. Fintech is ...

Solution Architect

Boston, MA · On-site

$68.50 - $90.25/hr

Partner with Data Engineering, Software Engineering, Data Science, Business Analytics, Claims ... Prior experience in fintech, insurance, proptech, real estate operations, claims, underwriting ...

Required : • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics ... fintech, ecommerce, or enterprise software products. • Expert-level proficiency in SQL and ...

... fintech. Life at Galois: People are the foundation of Galois's success. As an employee-owned ... Artificial Intelligence, Machine Learning, and Data Science * Software & Systems Analysis

Showing results 21-40

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.
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.

Help Desk Support

Fintech

Beverly, MA • On-site

$45K/yr

Full-time

Re-posted 22 days ago


Fintech rating

7.2

Company rating: 7.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

185th of 246 rated software companies


Job description

Join Fintech in Beverly, MA as a Technical Support Specialist and play a key role in delivering seamless IT support across the organization. In this hands-on role, you’ll troubleshoot systems, manage user accounts, and ensure employees have the tools they need to stay productive. This role is ideal for someone who thrives in a service-oriented environment, enjoys troubleshooting, and can effectively manage support requests while collaborating across teams. 
 

Essential Functions:

  • Provide technical assistance and support for incoming requests and issues related to computer systems, software, and hardware
  • Manage support requests in a ticketing system in a timely and effective manner, per defined policy and SLA
  • Create, configure, and maintain user accounts, email accounts, and related services
  • Procure, configure, and deploy, IT equipment and peripherals
  • Manage inventory of physical equipment, software, and software licenses
  • Create and maintain process documentation related to job responsibilities
  • Effectively communicate within department and cross-functionally, as appropriate
  • Identify and escalate concerns to the manager
  • Provide manager with report(s) on status of support activities, follow-up, and adherence to goals
  • Participates in meetings and is dependable as a resource on assigned projects
  • Other responsibilities as assigned

 

Qualifications:

  • Required
    • Working knowledge of Active Directory, Entra ID, Office 365, Exchange Online, Microsoft Intune, SMB file shares, and Windows 11
    • Working knowledge of PC hardware and peripherals including but not limited to: computers, printers, scanners, & mobile devices (iOS, Android)
    • Working knowledge of client PC connectivity: Wireless, Ethernet, TCP/IP, & VPN
    • Excellent customer service and troubleshooting skills
    • Effective written and oral communication skills
    • Ability to communicate technical information, oral and written, to both technical and non-technical recipients
    • Ability to self-manage time and workloads, work independently, and work as a team member
  • Desired, but not required
    • Degree in MIS, Computer Science, or related technical degrees are not required, but are a plus.
    • Certification from Cisco, CompTIA, Microsoft, VMware, or similar
    • PowerShell scripting
    • Experience configuring, maintaining, and troubleshooting Microsoft Autopilot and Intune environments, including but not limited to: device & user configuration, device & user profiles, application packaging
    • Familiarity with on-premise and Microsoft Entra networking in an enterprise environment
    • Familiarity with Atlassian Jira ITSM & Microsoft DevOps
    • Familiarity with Mimecast
    • Familiarity with antimalware solutions, such as Arctic Wolf, CrowdStrike, Defender for Endpoint, & Trend Micro WFBS
  • Salary Requirement
    • $45,000-$ 55,000
  • About Fintech:

    For over 35 years, Fintech LLC has redefined how over 1.1 million B2B relationships buy and sell goods and services in the retail, hospitality, and alcohol industries. This integrated platform centralizes invoice data and payments, POS and delivery data, product and cost compliance, price book management, and industry market data using AI, seamless integration capabilities, and proprietary automation technology.

    Fintech is a Drug-Free Workplace. Fintech is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Fintech’s management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs and general treatment during employment. 


What Fintech employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom