ZipRecruiter

Log In

1

Data Science Intern Jobs in Ragland, AL (NOW HIRING)

EBSCO Industries Inc

Data Scientist

Birmingham, AL

Job Requirements Skills and Qualifications * 4+ years of hands-on experience in data science or a role with significant applied modelling. * Demonstrated experience building and deploying predictive ...

EBSCO Industries, Inc.

Data Scientist

Birmingham, AL · On-site

Job Requirements Skills and Qualifications * 4+ years of hands-on experience in data science or a role with significant applied modelling. * Demonstrated experience building and deploying predictive ...

Kemper

Data Scientist

Birmingham, AL · Hybrid

The Kemper Claims Data Science team has an immediate opening for a Data Scientist to make lasting impact through building and deploying predictive models and applied LLM-based solutions. Candidates ...

UAB NOVA RENT

DATA SCIENTIST LEAD

Birmingham, AL · On-site

$104K - $169K/yr

Performs statistical analysis to build Artificial Intelligence tools that automate certain processes within the unit and implement data science algorithms (e.g. regression, classification and ...

Jobtailor

Data Scientist, Finance

Birmingham, AL · On-site

$110 - $160/hr

Under limited supervision, the Data Scientist works closely with business stakeholders to ... Typically requires a bachelor's degree in Mathematics, Computer Science, Physics, Economics ...

Pwc

Payer Healthcare Data Scientist, Manager

Birmingham, AL · On-site

$99K - $232K/yr

The Opportunity As part of the Operations Consulting team, you will apply advanced data science and machine learning techniques to large-scale claims, clinical, and member data to surface actionable ...

UAB NOVA RENT

DATA SCIENTIST ASSOCIATE

Birmingham, AL · On-site

$77K - $126K/yr

Data Scientist Associate University of Alabama at Birmingham The position leads the administration and maintenance of data systems for the UAB Alzheimer's Disease Research Center (ADRC). Provides ...

next page

Showing results 1-20

All JobsData Science Intern JobsData Science Intern Jobs in Ragland, AL

Data Science Intern information

See Ragland, AL salary details

$10

$19

$35

How much do data science intern jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for data science intern in Ragland, AL is $19.12, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $20.82 per hour, depending on experience, location, and employer.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

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

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

What cities near Ragland, AL are hiring for Data Science Intern jobs?

Cities near Ragland, AL with the most Data Science Intern job openings:

Data Science Intern jobs near you
Infographic showing various Data Science Intern job openings in Ragland, AL as of June 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $39,777 per year, or $19.1 per hour.

Data Scientist (Level III)

4pconsultinginc

Birmingham, AL • On-site

Contractor

Re-posted 13 days ago

Job description

Position:  Senior Data Scientist (Level III)

Location:  3535 Colonnade Parkway, Birmingham AL 35243
Duration:  6 Months

Client:       Southern Nuclear

Position Overview

We are seeking a highly experienced Senior Data Scientist (Level III) to lead advanced analytics and machine learning initiatives that drive strategic business decisions.

This role requires deep expertise in statistical modeling, predictive analytics, and big data technologies, along with strong leadership capabilities. The ideal candidate has a proven track record of delivering impactful data science solutions and shaping enterprise-level data strategies.

Key Responsibilities

Advanced Data Analysis

  • Analyze complex, large-scale datasets to extract actionable insights.
  • Apply advanced statistical methods and machine learning techniques.
  • Formulate and validate hypotheses to support business decisions.

Predictive Modeling & Machine Learning

  • Develop and deploy sophisticated ML models including:
    • Deep learning
    • Ensemble methods
    • Neural networks
  • Lead algorithm development and model optimization.
  • Oversee model deployment into production environments.

Feature Engineering & Data Preparation

  • Lead feature engineering efforts to enhance predictive performance.
  • Work closely with data engineering teams to integrate data from:
    • Data lakes
    • Data warehouses
    • Distributed systems

Visualization & Communication

  • Build compelling visualizations using:
    • Tableau
    • Power BI
    • Python libraries (Matplotlib, Seaborn, etc.)
  • Present complex analytical findings to technical and executive audiences.

Experimentation & Testing

  • Design and analyze A/B tests.
  • Measure and quantify business impact of changes and optimizations.

Data Governance & Ethics

  • Ensure compliance with privacy laws and data protection standards.
  • Promote ethical AI and responsible data practices.

Leadership & Strategy

  • Mentor junior data scientists.
  • Influence organizational data strategy and roadmap.
  • Drive a data-driven culture across business units.
  • Evaluate emerging tools and technologies for innovation opportunities.

Required Qualifications

  • 10–15 years of experience in data science.
  • Master’s or Ph.D. in:
    • Computer Science
    • Statistics
    • Mathematics
    • Engineering
    • Related quantitative field
  • Expert proficiency in:
    • Python, R, or Julia
    • SQL
  • Strong experience with:
    • Machine learning algorithms
    • Big data technologies (Hadoop, Spark)
    • Distributed computing frameworks
  • Experience with data visualization tools (Tableau, Power BI).
  • Strong leadership and communication skills.
  • Demonstrated ability to drive enterprise-level analytics initiatives.

Technical Expertise

  • Machine Learning & AI
  • Statistical Modeling
  • Feature Engineering
  • A/B Testing
  • Big Data Technologies
  • SQL & Data Manipulation
  • Model Deployment (MLOps familiarity preferred)
  • Data Governance & Compliance

Core Competencies

  • Strategic thinking
  • Innovation mindset
  • Cross-functional collaboration
  • Executive-level communication
  • Mentorship and leadership
  • Advanced problem-solving abilities