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Data Science Apprenticeship Jobs in Georgia (NOW HIRING)

Boston Scientific

Mfg Tech IV

Johns Creek, GA · On-site

VISA Boston Scientific will not offer sponsorship or take over sponsorship of an employment VISA ... Collect data and perform statistical analysis for process characterization and scrap reduction ...

Boston Scientific

Mfg Tech IV

Johns Creek, GA

VISA Boston Scientific will not offer sponsorship or take over sponsorship of an employment VISA ... Collect data and perform statistical analysis for process characterization and scrap reduction ...

Boston Scientific

Mfg Tech IV

Johns Creek, GA

VISA Boston Scientific will not offer sponsorship or take over sponsorship of an employment VISA ... Collect data and perform statistical analysis for process characterization and scrap reduction ...

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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:

Data Science Apprenticeship jobs near you
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 81% In-person, and 19% Hybrid job distribution.

Product Manager II - Life Sciences AI

McKinsey & Company

Atlanta, GA • On-site

Full-time

Posted 15 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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