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Amazon Data Science Internship Jobs in Kentucky (NOW HIRING)

Cognizant

Senior Data Scientist

Louisville, KY · On-site

$120 - $150/hr

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics ... Experience with cloud platforms such as Microsoft Azure, Amazon Web Services (AWS), or Google Cloud ...

Xometry

Senior Data Scientist, Costing

Lexington, KY · Hybrid

Use data science and machine learning principles to develop effective predictive models * Write ... Use cloud resources (e.g., Amazon Web Services) to prepare and process data * Query and extract ...

Xometry

Senior Data Scientist, Costing

Lexington, KY · On-site

Use data science and machine learning principles to develop effective predictive models * Write ... Use cloud resources (e.g., Amazon Web Services) to prepare and process data * Query and extract ...

Amazon

Reg. Automation Eng

Erlanger, KY · On-site

Operations is at the heart of Amazon's business. We are known for our speed, accuracy, and ... You will deliver this through the use of statistics and data analytics, structured problem solving ...

Toloka

We are a well-funded startup with an enviable portfolio of clients including Anthropic , Amazon ... Bachelor's or Master's degree in Data Science, ML/AI, Software Engineering, or a related ...

Pwc

Data Engineer - Manager

Louisville, KY

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ...

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How much do amazon data science internship jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for amazon 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 as an Amazon Data Science intern, and why are they important?

To thrive as an Amazon Data Science Intern, you need a solid background in statistics, programming (such as Python or R), and data analysis, often supported by progress toward a degree in computer science, mathematics, or a related field. Familiarity with tools like SQL, AWS, machine learning libraries (e.g., scikit-learn, TensorFlow), and version control systems is highly valued. Strong problem-solving skills, curiosity, and effective communication help interns collaborate and present findings to both technical and non-technical stakeholders. These abilities are crucial for delivering actionable insights and contributing to impactful projects in Amazon's fast-paced, data-driven environment.

What is an Amazon Data Science internship?

An Amazon Data Science Internship is a temporary position for students or recent graduates to work with Amazon’s data science teams. Interns apply statistical analysis, machine learning, and data engineering skills to solve real-world business problems. The internship provides hands-on experience with large datasets and exposure to Amazon’s tools, technologies, and culture. Interns also have opportunities to collaborate with experienced data scientists and contribute to impactful projects. This experience can help launch a career in data science, especially in the tech industry.

What types of projects do interns typically work on during an Amazon Data Science internship?

As an Amazon Data Science intern, you can expect to work on real-world projects that directly impact business decisions. Common projects include developing predictive models, performing exploratory data analysis, and collaborating with software engineers to implement machine learning solutions. Interns often partner with cross-functional teams, such as product managers and business analysts, to translate data insights into actionable recommendations. This hands-on experience helps interns build technical and communication skills while gaining exposure to Amazon's fast-paced, data-driven environment.
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What are popular job titles related to Amazon Data Science Internship jobs in Kentucky? For Amazon Data Science Internship jobs in Kentucky, the most frequently searched job titles are:
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What cities in Kentucky are hiring for Amazon Data Science Internship jobs? Cities in Kentucky with the most Amazon Data Science Internship job openings:
Amazon Data Science Internship jobs near you
Infographic showing various Amazon Data Science Internship job openings in Kentucky as of June 2026, with employment types broken down into 23% Internship, 38% Full Time, 28% Part Time, and 11% Temporary. Highlights an 66% In-person, 11% Hybrid, and 23% Remote job distribution, with an average salary of $40,655 per year, or $19.5 per hour.

Senior Data Scientist

Cognizant

Louisville, KY • On-site

$120 - $150/hr

Other

Posted 4 days ago

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 72 rated business consultants

Job description

Data ScientistAbout the role

As a Data Scientist, you will make an impact by transforming complex healthcare and business data into actionable insights that drive strategic decision-making and operational improvements. You will be a valued member of the Data & Analytics team and work collaboratively with business stakeholders, data engineers, analysts, and technology teams to develop advanced analytics, predictive models, and forecasting solutions that deliver measurable business value.

In this role, you will:
  • Analyze large and complex datasets to identify trends, patterns, risks, and opportunities that support business objectives.
  • Develop predictive, forecasting, and statistical models to drive data-informed decision-making and business outcomes.
  • Perform exploratory data analysis, hypothesis testing, correlation analysis, and advanced statistical evaluations to solve business challenges.
  • Build and optimize analytical solutions and data pipelines using Python, SQL, and Databricks.
  • Partner with business and technical stakeholders to translate business requirements into scalable analytics solutions and effectively communicate findings.
Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring time in a Cognizant or client office in Dallas, TX. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered
  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related field.
  • 5+ years of experience in Data Science, Advanced Analytics, Machine Learning, or related analytical roles.
  • Strong hands-on experience with SQL and Python, including libraries such as Pandas, NumPy, and Scikit-learn.
  • Experience developing predictive models, forecasting solutions, and statistical analysis frameworks.
  • Hands-on experience with Databricks and modern analytics platforms.
  • Strong understanding of data visualization, data storytelling, and communicating analytical insights to stakeholders.
  • Experience working with large-scale datasets and delivering business-focused analytical solutions.
  • Excellent analytical, problem-solving, communication, and stakeholder management skills.
  • Healthcare industry experience is required.
These will help you stand out
  • Experience with cloud platforms such as Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).
  • Experience deploying machine learning models into production environments.
  • Knowledge of healthcare analytics, population health, clinical data, claims data, or healthcare operations.
  • Familiarity with data engineering concepts, data governance, and data quality frameworks.
  • Experience working within Agile delivery environments.
  • Advanced degree in Data Science, Statistics, Machine Learning, or a related discipline.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

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