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Data Science New Grad Jobs in Kentucky (NOW HIRING)

$162 - $185/hr

New York, NY: $176,500 - $201,400 for Princ Associate, Data Science * Richmond, VA: $147,100 - $167,900 for Princ Associate, Data Science Candidates hired to work in other locations will be subject ...

$177 - $201/hr

McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science New York, NY: $176,500 - $201,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to ...

Data Science Tutor

Lexington, KY · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Data Science Tutor

Louisville, KY · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

$120 - $220/hr

This is a full‑stack data science role, involving model development, analysis, and writing ... Research new types of fraud and develop new SentiLink products around identity verification.

$120 - $220/hr

This is a full-stack data science role, involving model development, analysis, and writing ... Research new types of fraud and develop new SentiLink products around identity verification.

$193 - $290/hr

From launching new products to expanding internationally, our team turns complex data into clear ... As the Data Science Manager for the Crypto team, you will lead a high-impact team delivering ...

$55 - $69/hr

Job Details Data Scientist Data Scientist New York,NY Posted:8/25/2026 Job ID#: 64734 Job Category: Data Scientist Position Type: Full Time Duration: Full Time Remaining Positions: 1 Details:

$120 - $220/hr

This is a full‑stack data science role, involving model development, analysis, and writing ... Research new types of fraud and develop new SentiLink products around identity verification.

$52 - $78/hr

... with new methodologies over time. Work with product engineers to translate prototypes into new ... Work with Data Scientist and Product Engineer in defining and documenting methodologies based on ...

Posted today

$140 - $190/hr

Apply data science and analytical methods to develop reusable models, reports, dashboards, and ... Design and pitch new products, services, and other initiatives to a leadership team consisting of ...

$152 - $217/hr

The Enterprise Data Science team sits at the center of the company, partnering with business ... Advance team excellence: evaluate new methods and tools, share reusable components, elevate ...

$124 - $171/hr

## Data science software developerApplyremote type: Remotelocations: US, Utah, Murraytime type: Full ... Solventum is a new healthcare company with a long legacy of solving big challenges that improve ...

$85 - $141/hr

Lead and Contribute to Data Science Projects: Dive deeply into complex and often nebulous ... This will oftentimes require quickly learning new systems and tools to be able to deliver solutions ...

$110 - $148/hr

Continuous improvement of data science workflows, techniques, methodologies, new tools, and technologies within the organization. JOB QUALIFICATIONS The ideal candidate is a seasoned data science ...

$164 - $215/hr

The Risk Adjustment Data Science team turns that data into the models, pipelines, and systems that ... This position is based in our New York City office, requiring a hybrid work schedule with 3 days of ...

$120 - $180/hr

Why We're Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to ... new growth channel, a key metric, a critical partner relationship, etc. * No corporate fluff: The ...

$247 - $290/hr

From launching new products to expanding internationally, our team turns complex data into clear ... As the Data Science Manager for the Crypto team, you will lead a high-impact team delivering ...

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Data Science New Grad information

What is a data science new grad?

Data Science New Grad roles are entry-level positions designed for recent graduates who have completed a degree in data science, computer science, statistics, or a related field. These roles typically involve working with data to analyze trends, build predictive models, and support business decision-making. New grads are expected to have foundational knowledge in programming, statistics, and machine learning, but are not required to have extensive work experience. These roles often offer mentorship and training to help new professionals grow their technical and analytical skills. Companies hire Data Science New Grads to bring fresh perspectives and to develop future data science talent.

What are the key skills and qualifications needed to thrive as a data science new grad?

To thrive as a Data Science New Grad, you need a strong foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data visualization tools, and SQL databases is highly valued. Strong problem-solving abilities, communication skills, and curiosity help new grads stand out when interpreting data and presenting insights. These competencies are crucial for transforming complex data into actionable business solutions and collaborating effectively within multidisciplinary teams.

What types of projects can a data science new grad expect to work on during their first year?

As a Data Science New Grad, you can expect to work on a variety of projects such as cleaning and preprocessing data, developing predictive models, and assisting with data visualization and reporting. You may also collaborate closely with product managers, engineers, and senior data scientists to translate business problems into analytical solutions. Early projects often focus on building foundational skills and understanding the company’s data infrastructure, while gradually increasing in complexity as you gain experience. This hands-on exposure is designed to help you grow technically and understand how data science supports organizational goals.

What are popular job titles related to Data Science New Grad jobs in Kentucky?

For Data Science New Grad jobs in Kentucky, the most frequently searched job titles are:

What cities in Kentucky are hiring for Data Science New Grad jobs?

Cities in Kentucky with the most Data Science New Grad job openings:

Infographic showing various Data Science New Grad job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 7% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Principal Associate, Data Scientist - AI in Credit

Capital One Group

On-site

$162 - $185/hr

Other

Posted 15 days ago


Key responsibilities

  • Develop modeling approaches to forecast credit outcomes in a rapidly changing economic environment

  • Apply explainability techniques to identify insights from complex models

  • Collaborate on a cross-functional team to develop frameworks for AI-model-based decisioning


Job description

Principal Associate, Data Scientist - AI in Credit Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description The US Card Intelligence Segments organization builds industry-leading machine learning models that empower core underwriting decisions. We partner closely with a wide range of job families - machine learning engineers, product managers, credit analysts and data engineers - to deliver solutions from ideation to implementation. The AI in Credit team is developing the next generation of predictive models to forecast how customers use their Capital One cards. We are a cross-functional collaboration that spans across the entire company, with scientists and engineers specializing in applied credit, deep learning, and high performance computing. Join us as we push the boundary of data-driven credit decisioning.

In this role, you will:
  • Develop modeling approaches to forecast credit outcomes in a rapidly changing economic environment
  • Apply cutting-edge explainability techniques to identify insights from complex models
  • Develop frameworks for AI-model-based decisioning in a highly regulated industry
  • Collaborate on a cross-functional team with a wide range of specializations and experience
The Ideal Candidate is:
  • A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
  • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
  • Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
  • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
Basic Qualifications:
  • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
  • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
  • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 3 years of experience performing data analytics
Preferred Qualifications:
  • Master’s Degree in an applied research field (physics/astronomy, chemistry, biology, engineering, operations research, sociology, etc.) plus 3 years of experience in data science, or PhD in an applied research field
  • Experience in explainability a big plus
  • Experience with distributed computing a plus
  • At least 3 years’ experience in Python, Scala, or R
  • At least 3 years’ experience with machine learning

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

  • McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science
  • New York, NY: $176,500 - $201,400 for Princ Associate, Data Science
  • Richmond, VA: $147,100 - $167,900 for Princ Associate, Data Science

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website.

Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please.

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace.

Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com. Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit.

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