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Data Science Apprenticeship Jobs in Georgia (NOW HIRING)

They interpret the data, troubleshoot, enter that data into the database, move that data to the ... Provide guidance/assistance to Corrosion Apprentice/Level I/Level II Technicians. * Advanced design ...

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Data Science Apprenticeship information

What is a data science apprenticeship?

A Data Science Apprenticeship is a structured, hands-on training program that allows aspiring data scientists to gain practical experience while working under the guidance of experienced professionals. Apprentices learn key skills such as data analysis, machine learning, and statistical modeling through real-world projects. These programs often combine coursework with on-the-job training, making them an excellent pathway for individuals transitioning into data science or looking to gain industry experience.

What do data science apprentices do?

Data Science Apprentices usually assist with collecting, cleaning, and analyzing data to help teams solve business problems. They may support the development and testing of machine learning models, create data visualizations, and help prepare reports that communicate insights to both technical and non-technical stakeholders. Apprentices often collaborate closely with experienced data scientists and engineers, gaining exposure to real-world workflows and industry practices. This hands-on experience not only builds technical skills but also helps apprentices understand how data science contributes to strategic decision-making within organizations.

What skills and qualifications are needed for a data science apprenticeship?

To thrive as a Data Science Apprentice, you need a solid understanding of statistics, programming (commonly in Python or R), and data analysis, often supported by a relevant degree or coursework in a quantitative field. Familiarity with tools like SQL, Jupyter Notebooks, and data visualization software, as well as knowledge of frameworks like scikit-learn or TensorFlow, is highly beneficial. Strong problem-solving abilities, eagerness to learn, and effective communication skills help apprentices excel and integrate into data-driven teams. These skills are essential for tackling real-world data challenges, contributing to projects, and building a successful foundation for a future career in data science.

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

The most popular types of Data Science Apprenticeship jobs in Georgia are:

What are popular job titles related to Data Science Apprenticeship jobs in Georgia?

For Data Science Apprenticeship jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Data Science Apprenticeship jobs in Georgia look for?

The top searched job categories for Data Science Apprenticeship jobs in Georgia are:

Infographic showing various Data Science Apprenticeship job openings in Georgia as of August 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 82% In-person, 12% Hybrid, and 6% Remote job distribution.

Artificial Intelligence & Machine Learning Engineer, Vice President - AI Labas

BlackRock, Inc.

Atlanta, GA • On-site

Full-time

Medical, Retirement

Posted 14 days ago


BlackRock rating

7.8

Company rating: 7.8 out of 10

Based on 14 frontline employees who took The Breakroom Quiz


Job description

About this role
Develops and deploys machine learning models and AI solutions that solve business problems and enhance products. Conducts data exploration, feature engineering, model training, evaluation, and deployment. Implements MLOps practices to productionize and monitor models in production environments. Collaborates with data scientists, engineers, and business stakeholders. Optimizes model performance, scalability, and reliability. Stays current on AI/ML advancements and techniques.
Relevant Knowledge, Skills, and Abilities:
• Machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
• Programming languages (Python, R, Java)
• Deep learning, NLP, computer vision techniques
• Cloud ML platforms (AWS SageMaker, Azure ML, Vertex AI)
• MLOps tools and practices
• Statistical analysis and experimentationFor Atlanta, GA Only the salary range for this position is USD$170,000.00 - USD$220,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
Guidance on AI use for candidates
At BlackRock, AI has long been part of how we work - enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we've provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.
BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC's Know Your Rights poster and its supplement and the pay transparency statement.
BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with our privacy policy.
BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

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