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Full Time Data Scientist Finance Jobs (NOW HIRING)

Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning techniques and algorithms (supervised, unsupervised, reinforcement learning etc.) in a commercial ...

Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning techniques and algorithms (supervised, unsupervised, reinforcement learning etc.) in a commercial ...

Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning techniques and algorithms (supervised, unsupervised, reinforcement learning etc.) in a commercial ...

Overview We are seeking a full-time Data Scientist 2 at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will be responsible for analyzing complex data sets, developing ...

... our financial services clients banking, Insurance and credit union business in achieve their ... Data Scientist Location: Madison, WI Full Time (Direct Hire) • 5+ Years of total experience and 2 ...

... our financial services clients banking, Insurance and credit union business in achieve their ... Madison, WI Full Time (Direct Hire) 5+ Years of total experience and 2-4 years of in-depth and ...

Job Summary Webstaurant Store, the world's largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ...

Job Summary Webstaurant Store, the world's largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ...

Senior Data Scientist

$110K - $150K/yr

At Attain Finance, we bring over 50 years of expertise in providing credit solutions across the U.S ... All full-time salaried employees are eligible for the following benefits, starting on day one:

Data Scientist 3

Lititz, PA · On-site +1

$130K - $150K/yr

Job Summary Webstaurant Store, the world's largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ...

Job Summary Webstaurant Store, the world's largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ...

At Snap Finance, we believe everyone deserves access to the things they need, regardless of credit ... We are seeking a dedicated Data Scientist III with a passion for statistics, machine learning, and ...

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

Job Summary The Data Scientist role at Bread Financial is responsible for generating data-driven ... You must be work authorized in the United States on a full time basis without the need for any ...

Lead Data Scientist

Frisco, TX · On-site +1

$144K - $250K/yr

Job Summary The Data Scientist role at Bread Financial is responsible for generating data-driven ... You must be work authorized in the United States on a full time basis without the need for any ...

... Full time Description & Requirements Elder Research Inc., a wholly owned subsidiary of MANTECH ... tax and financial data environments. You will work directly with government clients, program ...

Lead Data Scientist

New York, NY · On-site +1

$144K - $250K/yr

Job Summary The Data Scientist role at Bread Financial is responsible for generating data-driven ... You must be work authorized in the United States on a full time basis without the need for any ...

Showing results 21-40

Full Time Data Scientist Finance information

See salary details

$37.5K

$122.7K

$196.5K

How much do full time data scientist finance jobs pay per year?

As of Aug 11, 2026, the average yearly pay for full time data scientist finance in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

How does a full time data scientist in finance typically collaborate with other departments to drive business outcomes?

As a data scientist in finance, you’ll regularly work with cross-functional teams such as risk management, product, IT, and compliance. Collaboration often involves translating complex data findings into actionable business insights, developing predictive models for financial forecasting, and communicating results to both technical and non-technical stakeholders. This teamwork is essential for aligning data-driven solutions with regulatory requirements and strategic objectives, ensuring your work has a tangible impact on business performance.

What does a full time data scientist in finance do?

A Full Time Data Scientist in Finance analyzes large sets of financial data to uncover trends, build predictive models, and help organizations make informed business decisions. They use statistical analysis, machine learning, and programming skills to interpret complex data related to investments, risk management, fraud detection, and market forecasting. Their work supports financial institutions in optimizing operations, identifying new opportunities, and mitigating risks.

What is the difference between Full Time Data Scientist Finance vs Full Time Data Analyst Finance?

AspectFull Time Data Scientist FinanceFull Time Data Analyst Finance
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; often some programming skillsBachelor's in Finance, Economics, or related fields; strong analytical skills
Work EnvironmentDeveloping models, advanced analytics, machine learning projectsData reporting, trend analysis, financial data interpretation
Employer & Industry UsageFinancial institutions, investment firms, banksBanks, asset management companies, financial services

Full Time Data Scientist Finance focuses on building predictive models and advanced analytics, requiring programming and statistical expertise. Full Time Data Analyst Finance primarily handles data reporting and trend analysis, with a focus on interpreting financial data. Both roles are vital in finance but differ in technical complexity and scope.

What are the key skills and qualifications needed to thrive as a full time data scientist in finance?

To thrive as a Full Time Data Scientist in Finance, you need strong analytical skills, proficiency in statistics, and a solid background in computer science or a related quantitative field, often supported by a degree in mathematics, statistics, or finance. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and expertise in using financial data platforms are typically required, along with relevant certifications such as CFA or data science specializations. Excellent problem-solving abilities, communication skills, and business acumen set outstanding candidates apart in this role. These skills are crucial for turning complex financial data into actionable insights that drive decision-making and business growth.
What cities are hiring for Full Time Data Scientist Finance jobs? Cities with the most Full Time Data Scientist Finance job openings:
What are the most commonly searched types of Data Scientist Finance jobs? The most popular types of Data Scientist Finance jobs are:
What states have the most Full Time Data Scientist Finance jobs? States with the most job openings for Full Time Data Scientist Finance jobs include:
Infographic showing various Full Time Data Scientist Finance job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Advanced Data Scientist

Honeywell

Atlanta, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago


Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

67th of 538 rated manufacturers


Job description


Honeywell Forge and AI team is a significant business segment of Honeywell International Inc., focusing on providing innovative AI and software solutions that enhance operational efficiency and drive digital transformation across various industries. Forge is the flagship software product of Honeywell. Forge and AI team, as the AI center of excellence, leverages advanced technologies such as the Internet of Things (IoT), cloud computing, artificial intelligence (AI), and data analytics to create integrated solutions that improve productivity, safety, and sustainability.
Key functions and offerings of Honeywell Forge and AI team include: Industrial IoT Solutions, Data Analytics, Cybersecurity, Smart Building Solutions, Supply Chain Optimization, Sustainability Initiatives, and Smart Manufacturing
We're looking for a new team member who is motivated by cracking tough challenges with data, trained in problem solving, and with an unending thirst for learning.
As an Advance Data Scientist, you will join a high-performing, global team, and be responsible for designing, developing, and implementing data driven solutions for all Honeywell business groups and functions. You will work closely with data scientists and data engineers, application architects to integrate results into operational platforms
RESPONSIBILITES
  • The Advance Data Scientist role is expected to work within Honeywell to build and deploy innovative AI/ML models and solutions that generate new business growth and value.
  • You will also be responsible for recommending innovative solutions by using various data science methods including hypothesis testing and be responsible for defining the data acquisition strategy when required.
  • You will also be expected to actively participate in defining and governing our analytics strategy for Honeywell building out AI/ML capabilities of our Forge platform and promoting data science methods and processes across functions
  • You will report to the Director of Artificial intelligence

Qualifications
YOU MUST HAVE
  • Bachelor's degree in computer science, Engineering, Applied Mathematics or related STEM field
  • Minimum of 4 years of full time Data Science prototyping experience (Python) using machine learning techniques and algorithms (supervised, unsupervised, reinforcement learning etc.) in a commercial setup.
  • Minimum of 4 years of full time Machine Learning experience applied on top of processes, systems, and hardware in a commercial setup.
  • Minimum of 4 years of experience with distributed storage and compute tools (e.g. Spark)
  • Minimum of 4 years' experience developing and deploying machine learning models on cloud platforms (e.g. AWS, Azure, GCP etc.)
  • Minimum of 4 years of experience in deep learning frameworks like PyTorch, Tensorflow, Keras
  • Minimum of 4 years' Experience with designing, building models and deploying pipelines to production using containerized microservices and/or orchestrated batch runs

WE VALUE
  • Master's degree in computer science, Engineering, Applied Mathematics or related STEM field
  • PhD degree in Computer Science, Engineering, Applied Mathematics or related STEM field
  • Experience with MLOPS best practices and implementations
  • Experience with LLM and Natural Language Processing models
  • Experience working with remote and global teams
  • Results driven with a positive can-do attitude

In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: Benefits at Honeywell
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posting Date: 03/15/2026
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.
About Us
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.

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About Honeywell

Sourced by ZipRecruiter

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.

Industry

Furniture manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1906