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Data Science Apprentice Jobs in Newnan, GA (NOW HIRING)

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Corrosion Tech III

Atlanta, GA · On-site

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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How much do data science apprentice jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data science apprentice in Newnan, GA is $20.59, according to ZipRecruiter salary data. Most workers in this role earn between $16.49 and $22.79 per hour, depending on experience, location, and employer.

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

To thrive as a Data Science Apprentice, you need a solid understanding of statistics, programming (often Python or R), and foundational knowledge in data analysis, usually supported by relevant coursework or a degree in a related field. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and machine learning libraries is commonly expected. Curiosity, problem-solving ability, and effective communication help apprentices stand out by enabling them to learn quickly and convey complex findings clearly. Mastering these skills ensures you can contribute to data-driven projects and grow into more advanced roles in the field.

What is a data science apprentice?

A Data Science Apprentice is an entry-level professional who is learning the skills required to become a data scientist, often through a structured apprenticeship program. They work under the guidance of experienced data scientists to gain hands-on experience in analyzing data, building models, and using data science tools and techniques. Apprenticeships typically combine on-the-job training with classroom instruction, allowing apprentices to develop both practical and theoretical knowledge. The goal is to prepare apprentices for a full-time role in data science by the end of the program.

How do data science apprentices typically collaborate with senior data scientists and other departments?

As a Data Science Apprentice, you'll often work closely with senior data scientists through mentorship and project-based tasks. Collaboration usually involves assisting with data cleaning, exploratory analysis, and supporting model development under supervision. You'll also interact with team members from engineering, product, or business departments to understand project goals and present findings. This cross-functional teamwork helps you build both technical and communication skills, preparing you for more independent roles in the future.
What are the most commonly searched types of Data Science jobs in Newnan, GA? The most popular types of Data Science jobs in Newnan, GA are:
What cities near Newnan, GA are hiring for Data Science Apprentice jobs? Cities near Newnan, GA with the most Data Science Apprentice job openings:
Data Science Apprentice jobs near you
Infographic showing various Data Science Apprentice job openings in Newnan, GA as of June 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution, with an average salary of $42,824 per year, or $20.6 per hour.

Product Manager II - Life Sciences AI

McKinsey & Company

Atlanta, GA • On-site

Full-time

Posted 9 days ago

McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

20th of 72 rated business consultants

Job description

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place.
YOUR IMPACT
You will own the strategy, execution, and delivery of one or more products in the asset portfolio.
Working with your leaders, you will shape product strategy, define product roadmaps, interview end users, and guide teams in delivering and launching meaningful, user-centric advanced analytics and agentic solutions. Working with a cross-functional team of domain experts and technical colleagues, you'll tackle delivery obstacles, prioritize high-value features, and foster innovation to address client and business objectives.
You will collaborate with cross-functional teams (e.g. AI engineers, data scientists, data engineers) to ensure product success. By leading user discovery sessions, you will build empathy and understanding within the team to align product development with user needs. You will identify and address delivery barriers, manage dependencies, and negotiate with stakeholders to maximize value within tight timelines and budgets. Your leadership will ensure the delivery of high-quality, user-focused products.
You'll be working in one of our North American offices in our Life Sciences practice. You will help revolutionize how Pharma and MedTech companies connect with their customers to improve human lives. You will be working in a team that is fully integrated with QuantumBlack, AI by McKinsey.
Your contributions will help solve complex challenges for clients and colleagues. Partnering with subject matter experts, engineers, and designers, you will align product development with industry needs and client goals. Your work will shape software solutions that enhance usability, quality, and predictability, driving lasting impact for internal and external stakeholders.
You will lead the creation of innovative advanced analytics and agentic capabilities that deliver value to clients and drive meaningful outcomes. Based in our entrepreneurial and collaborative team, you will help shape McKinsey's shift toward asset-based consulting by fostering innovation through analytics, design thinking, and emerging technologies. Your work will focus on building product roadmaps, defining MVP functionality, and guiding teams to launch impactful solutions.
Your work offers a unique opportunity to grow as a leader in product management and technology. You will join a diverse and inclusive community dedicated to mentorship, feedback, and professional development. With access to McKinsey's global network of experts and technologists, you will refine your skills, expand your leadership capabilities, and make a meaningful impact on the future of product innovation.#LI-MP
YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.
When you join us, you will have:
  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS
  • Undergraduate degree in Computer Science, Business, Engineering or related degree
  • 7+ years of relevant experience that demonstrates end-to-end complex problem solving from ideation to post-launch through product/technology development
  • Experience with building enterprise facing products that are adopted by enterprise users, enabling business capability and objectives through technology
  • Prior experience building AI products specifically with exposure to Agentic AI solutions and AI-enabled software ecosystems. Experience in Life Sciences or Commercial domain will be a plus
  • Ability to partner with engineering to shape functional requirements, address technical debt, and ensure readiness for release
  • Knowledge and understanding of technical engineering best practices (e.g. DevSecOps, specs-driven development, agentic PDLC, testing practices continuous integration, etc.)
  • Experience running complex problem and user discovery, competitive analysis, and shaping a product's value proposition
  • Proficient with roadmaps, drawing storyboards, creating wireframes, creating/grooming product backlogs, writing user stories and developing acceptance criteria
  • Proficient in stakeholder management, story-lining presentations and evaluating role and experience managing multiple leadership requirements in ambiguous situations
  • Excellent analytical skills and data driven approach to constantly analyze user feedback and analytics report
  • Willingness to travel and co-locate depending on product and initiative needs
  • Strong communication skills, both verbal and written, with the ability to adjust your style to suit different perspectives, seniority levels, and levels of technical expertise

Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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