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Data Science Internship Jobs in Kentucky (NOW HIRING)

Neura Market

$192 - $260/hr

... interns on the team by helping with project planning, technical decisions, and code and document review. * You will represent the data science discipline throughout the organization, using your ...

New

Accenture

Data Protection, A/SA-Evergreen

Lexington, KY

$84K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Verdantas

Spring Internship 2027

Fort Mitchell, KY · On-site

$16.50 - $21.25/hr

  • Retirement

... scientists, engineers, geologists, and technical specialists, embedded in a people-focused culture ... We partner with clients to deliver smart, data-driven solutions to complex environmental and ...

Verdantas

Spring Internship 2027

Fort Mitchell, KY · On-site

$16.50 - $21.25/hr

  • Retirement

... scientists, engineers, geologists, and technical specialists, embedded in a people-focused culture ... We partner with clients to deliver smart, data-driven solutions to complex environmental and ...

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Data Science Internship information

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How much do data science internship jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for data science internship in Kentucky is $19.55, according to ZipRecruiter salary data. Most workers in this role earn between $15.05 and $21.30 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a data science internship, and why are they important?

To thrive as a Data Science Intern, you need a solid understanding of statistics, data analysis, and programming languages such as Python or R, often supported by progress towards a degree in a quantitative field. Familiarity with tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau, Power BI) is highly valued. Strong problem-solving skills, eagerness to learn, and effective communication are essential soft skills for this role. These abilities are crucial for drawing insights from data, collaborating with technical and non-technical colleagues, and contributing meaningfully to projects.

What types of projects or tasks can I expect to work on during a data science internship?

As a Data Science Intern, you may be involved in projects such as analyzing datasets to uncover trends, building and testing predictive models, or creating visual reports to help stakeholders understand key findings. Interns often support ongoing research, assist with data cleaning and preprocessing, and collaborate on team projects under the guidance of experienced data scientists. Depending on the company's focus, you might also contribute to deploying models or automating data pipelines. These tasks are designed to give you practical experience with real-world data challenges and help develop your technical and analytical skills.

What are the most commonly searched types of Data Science jobs in Kentucky?

The most popular types of Data Science jobs in Kentucky are:

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

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

What job categories do people searching Data Science Internship jobs in Kentucky look for?

The top searched job categories for Data Science Internship jobs in Kentucky are:

What cities in Kentucky are hiring for Data Science Internship jobs?

Cities in Kentucky with the most Data Science Internship job openings:

Data Science Internship jobs near you
Infographic showing various Data Science Internship job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $40,655 per year, or $19.5 per hour.

Staff Data Scientist - Trust and Safety Databricks San Francisco, California

Neura Market

On-site

$192 - $260/hr

Other

Posted 2 days ago

New

Job description

RDQ426R282
Databricks is building the world's best and most secure platform for data and AI. We innovate and deploy industry-leading solutions in security, compliance, and governance.

As a member of the Trust and Safety Data Science team, you will work on projects critical to ensuring the security and compliance of the Databricks Platform. Our customers depend on Databricks to keep their data safe, all while orchestrating millions of virtual machines across three clouds in dozens of regions around the globe.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the security and scale that is critical to making customers successful on our platform. We serve many companies with varying security and compliance needs. To efficiently serve these markets, we need to understand how customers use our existing features. This requires data-driven analysis of all aspects of security programs at Databricks.

Customers also trust Databricks with their most valuable data and we have the mission to build the most trusted data analytics and ML platform in the world. We’re looking to expand our Trust and Safety Data Science team. You will join a group of “full stack” data scientists who partner with engineering and security teams, focusing on strategic plans that make Databricks secure and safe for our customers. The team will use statistical and machine learning techniques for fraud and abuse detection on our platforms using state of the art methods . You can read more about some of our efforts in this blog post. The work in fraud and abuse detection is dynamic and essential, offering an opportunity to make a substantial impact in maintaining the security and efficiency of business operations.

More information is available at Databricks Trust page.

The impact you will have:

  • You will develop and implement Machine Learning models to detect anomalous activity in products that we offer.
  • You will analyze the performance and pricing of security-related features and work with product and engineering teams to identify important opportunities.
  • You will collaborate with security engineers, trust and safety experts, and machine learning engineers to build a variety of systems and tools that protect Databricks and our customers from threats.
  • You will create solutions and frameworks to meet compliance requirements at Databricks
  • You will gather requirements, define project OKRs and milestones, and communicate progress to both technical and non-technical audiences.
  • You will guide junior data scientists and interns on the team by helping with project planning, technical decisions, and code and document review.
  • You will represent the data science discipline throughout the organization, using your powerful voice to make us more data-driven.
  • You will represent Databricks at academic and industrial conferences and events.

What we look for:

  • 7+ years of data science, machine learning, and advanced analytics experience in high-velocity, high-growth companies
  • Understanding of good software engineering practices around testing, code reviews, and deployment.
  • Experience working in a highly cross functional alignment and talking about results to non-technical partners.
  • Experience deploying Data Science / ML solutions in production to achieve results.
  • Coding skills in SQL and a software development language (preferably Python)
  • Experience with distributed data processing systems like Spark and familiarity with software engineering principles.
  • Prior experience applying machine learning and data analytics to identify SaaS product misuse and enhance compliance preferred but not required.
  • Masters or higher in quantitative fields or equivalent experience in industry

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range
$192,000—$260,000 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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