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Data Scientist Apprentice Jobs in Baltimore, MD (NOW HIRING)

McKinsey & Company

Data Engineer - Periscope

Lisbon, MD · On-site

$125K - $151K/yr

You will be part of our global data engineering community, collaborating with data scientists ... Our learning and apprenticeship culture, backed by structured programs, is all about helping you ...

McKinsey & Company

Associate - Tech & AI

Lisbon, MD · On-site

Together with your clients and McKinsey colleagues, you will combine research, data analysis ... Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth ...

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Data Scientist Apprentice information

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$45.7K

$164K

$241.9K

How much do data scientist apprentice jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data scientist apprentice in Baltimore, MD is $163,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,600.00 and $168,900.00 per year, depending on experience, location, and employer.

What is a data scientist apprentice?

A Data Scientist Apprentice is an entry-level role designed to provide hands-on experience in data analysis, machine learning, and statistical modeling under the guidance of experienced professionals. Apprentices typically assist with data cleaning, exploratory data analysis, and building predictive models while learning industry tools like Python, SQL, and data visualization libraries. This role helps develop practical skills in real-world projects, making it a great pathway into a full-time data science career.

What kinds of projects or tasks can I expect to work on as a data scientist apprentice?

As a Data Scientist Apprentice, you'll typically assist with tasks such as data cleaning, collecting and preparing datasets, generating visualizations, and supporting more senior data scientists in building and evaluating models. You may be involved in exploratory data analysis, writing scripts to automate repetitive tasks, and presenting your findings to team members. Collaboration with analysts, engineers, and business stakeholders is common, providing insight into how data-driven decisions are made. These projects will help you develop practical experience and prepare you for more advanced responsibilities as you progress in your data science career.

What are the key skills and qualifications needed to thrive in the data scientist apprentice position, and why are they important?

To thrive as a Data Scientist Apprentice, you should have a foundational understanding of statistics, programming (such as Python or R), and data analysis, often supported by a relevant degree or coursework. Familiarity with tools like SQL, Jupyter Notebooks, and data visualization software, as well as exposure to machine learning libraries, is highly beneficial. Strong analytical thinking, curiosity, and effective communication skills will help you learn quickly and contribute within a team. These competencies are crucial for extracting actionable insights from data and growing into more advanced data science roles.

What are the most commonly searched types of Data Scientist jobs in Baltimore, MD?

The most popular types of Data Scientist jobs in Baltimore, MD are:

What are popular job titles related to Data Scientist Apprentice jobs in Baltimore, MD?

For Data Scientist Apprentice jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Data Scientist Apprentice jobs in Baltimore, MD look for?

The top searched job categories for Data Scientist Apprentice jobs in Baltimore, MD are:

Data Scientist Apprentice jobs near you
Infographic showing various Data Scientist Apprentice job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $163,968 per year, or $78.8 per hour.

Data Scientist - Financial Services Lab

McKinsey & Company

Lisbon, MD • On-site

Full-time

Re-posted 2 days ago

McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

21st 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 apply advanced analytics techniques including predictive modelling, geospatial analysis, generative AI, optimization, and simulation to large-scale datasets at some of the world's most influential institutions.
You will partner with client teams across project settings to drive and produce week-one analyses and enable quick-turn analytics client development work. Many of these analyses will be used to develop solutions and products to craft reusable data-driven insights.
You will become an advocate for the use of data and analytics, guiding teams on the proper selection of datasets and analytic strategies to ensure we increase the value of impact we deliver to our clients. This will enable collaboration across other practices, analytics groups, and technical teams to ensure efforts are synergistic and cutting-edge.
You will help to maintain and deliver a compelling portrayal of McKinsey's data ecosystem and capabilities to clients and internal stakeholders. As well as drive awareness of the firm's policies related to data risk and refine/operationalize KPIs.
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
  • Master's degree in quantitative fields such as Mathematics, Computer Science, Engineering, Physics, or a related discipline
  • 2+ years of professional experience in data science, data engineering, or a closely related field
  • Experience with data engineering practices including ETL pipelines, orchestration tools such as Airflow, and big data platforms like Databricks; hands-on experience with data modelling techniques (e.g., 3NF, data vault, etc.), ability to work with both structured and unstructured data
  • Strong applied data science skills with experience in supervised and unsupervised learning, time series forecasting, clustering, optimization, geospatial modeling, and generative AI; familiarity with libraries such as scikit-learn, XGBoost, LightGBM, PyTorch, Hugging Face Transformers, and pandas
  • Solid engineering capabilities in Python and JavaScript, with hands-on experience building and operationalizing solutions using FastAPI and React
  • Comfortable working with Git, CI/CD tools, and modern development workflows
  • Hands-on experience with large language models (LLMs) and agentic AI, including prompt engineering, retrieval-augmented generation (RAG), tool/function calling, multi-agent workflows, evaluation, and productionizing LLM-powered applications
  • Familiarity with frameworks such as LangChain, LangGraph, LlamaIndex, and major model APIs
  • Familiarity with Azure cloud services; experience with Kubernetes, Docker, and distributed computing frameworks is a plus
  • Highly inquisitive and creative problem-solver with a passion for turning data into actionable insight
  • Entrepreneurial and self-starting mindset, comfortable navigating ambiguity in a fast-paced, dynamic environment
  • Collaborative, professional, and team-oriented, with a strong sense of ownership and service
  • Strong communication skills with the ability to convey complex technical topics to both technical and non-technical audiences

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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About McKinsey

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In April 2021, we announced the launch of McKinsey Sustainability, our new client-service platform with the goal of helping all industry sectors transform to get to net zero by 2050 and to cut carbon emissions by half by 2030. McKinsey Sustainability seeks to be the preeminent impact partner and advisor for our clients, from the board room to the engine room, on sustainability, climate, energy transition, and environmental, social and governance (ESG). We are committed to invest behind this goal over the next four years-through our client service, knowledge and capability building, acquisitions and alliances as well as pro-bono investments.

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

New York, NY, US

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