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Fintech Data Science Jobs in Pennsylvania (NOW HIRING)

LHi Group Ltd

Senior Manager, Data Science

Calumet, PA · On-site

$210K - $230K/yr

... fintech, financial crime, risk, blockchain or another data-intensive environment would be ... established data science team Work across machine learning, modeling and production systems ...

BE Group

Senior Machine Learning Engineer

Malvern, PA · On-site

$120K - $158K/yr

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a ... Financial services, banking, lending, collections, credit risk, or fintech. * Building scalable ...

Lincoln Financial

AVP, AI Product Management

Radnor, PA · Hybrid

$210K - $220K/yr

Experience working in financial services, insurance, fintech, or other regulated industries ... Product or AI related certifications (e.g., Pragmatic, AIPMM, data science or ML credentials)

Lincoln Financial

AVP, AI Product Management

Radnor, PA · On-site

$210K - $220K/yr

... with business leaders, data science, engineering, design, and risk teams. This is an ideal ... fintech, or other regulated industries. • Demonstrated ability to influence and align cross ...

Lincoln Financial

AVP, AI Product Management

Radnor, PA · Hybrid

$210K - $220K/yr

... with business leaders, data science, engineering, design, and risk teams. This is an ideal ... fintech, or other regulated industries. • Demonstrated ability to influence and align cross ...

Envestnet

Senior Software Development Engineer

Berwyn, PA

$117K - $154K/yr

Collaborates with product managers, data scientists and compliance stakeholders to meet both ... Designs and delivers scalable fintech product services and distributed systems with a focus on ...

Envestnet

Senior Software Development Engineer

Berwyn, PA

$117K - $154K/yr

Collaborates with product managers, data scientists and compliance stakeholders to meet both ... Designs and delivers scalable fintech product services and distributed systems with a focus on ...

Envestnet

Senior Software Development Engineer

Berwyn, PA

$117K - $154K/yr

Collaborates with product managers, data scientists and compliance stakeholders to meet both ... fintech product services and distributed systems with a focus on performance, resilience, and ...

Synechron

Business Systems Analyst

Pittsburgh, PA

$105K - $115K/yr

... Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20 ... Familiarity with banking/fintech systems such as LOS (Loan Origination Systems), CRM, and core ...

Synechron

Business Systems Analyst

Pittsburgh, PA · On-site

$105K - $115K/yr

... Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20 ... Familiarity with banking/fintech systems such as LOS (Loan Origination Systems), CRM, and core ...

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Fintech Data Science information

See Pennsylvania salary details

$37.6K

$123K

$197K

How much do fintech data science jobs pay per year?

As of Sep 1, 2026, the average yearly pay for fintech data science in Pennsylvania is $123,033.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $136,300.00 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 Pennsylvania?

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

What job categories do people searching Fintech Data Science jobs in Pennsylvania look for?

The top searched job categories for Fintech Data Science jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Fintech Data Science jobs?

Cities in Pennsylvania with the most Fintech Data Science job openings:

Fintech Data Science jobs near you
Infographic showing various Fintech Data Science job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,033 per year, or $59.2 per hour.

Senior Manager, Data Science

Calumet, PA • On-site

LHi Group Ltd
See more jobs at LHi Group Ltdexternal

$210K - $230K/yr

Other

Posted 27 days ago

Job description

Senior Manager, Data Science
Location: United States - Fully remote
Salary: $210,000-$230,000 base + equity
Type: Full-time
We're partnering with a high-growth AI and Data technology company developing advanced software used across government, payments and the digital-asset industry.
Following a recent Series C funding round, the business reached a valuation of $1 billion and continues to expand its technology, customer base and global operations. Its platform helps specialist teams bring together complex information, identify meaningful patterns and make faster decisions in high-consequence environments.
The opportunity
You'll lead an established team of data scientists working across applied machine learning, technically complex datasets and production-scale systems.
This is an 80/20 player-coach role. Most of your time will focus on managing, mentoring and developing the team, while remaining involved in technical reviews, modeling decisions and data workflows.
What you'll be doing
Leading and developing a high-performing data science team
Guiding machine learning and modeling work across complex investigative problems
Reviewing Python code and production data workflows
Helping the team process and interpret very large datasets
Partnering closely with product, engineering and intelligence teams
What we're looking for
+7 or more years of experience in data science or machine learning
+4 years directly managing Data Science or Machine learning teams
Previous hands-on experience as a data scientist or machine learning engineer
Strong Python, modeling and production data experience
Startup or hypergrowth company experience
Experience with large-scale data systems
Strong people-management and coaching skills
A quantitative degree, with an advanced degree preferred
Experience within fraud, fintech, financial crime, risk, blockchain or another data-intensive environment would be beneficial but isn't essential.
Experience with Airflow, BigQuery, Kafka or Snowflake are nice to haves.
Why join?
Join a business valued at $1 billion following a recent Series C
Build technology used across government, payments and digital assets
Support teams responsible for investigations, intelligence, compliance and risk
$210k-$230k base salary plus competitive equity
Fully remote within the United States
Lead an established data science team
Work across machine learning, modeling and production systems
Candidates must be US-based and able to overlap with Eastern time.

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