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Intern Data Scientist Machine Learning Jobs in Baltimore, MD

Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g ...

Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g ...

Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g ...

This role combines artificial intelligence and machine learning skills with a strong foundation in ... data using elements of mathematics, statistics, computer science, and application specific ...

Data Scientist 2

Annapolis, MD · On-site

$122K - $168K/yr

We are seeking a Data Scientist with a background in AI, Machine Learning (ML), and Natural Language Processing (NLP). You will triage the development of large language datasets and develop tools and ...

Data Scientist 2

Annapolis, MD · On-site

$122K - $168K/yr

Job Brief Data Science, AI, ML Are you VIGILANT about your career? RealmOne definitely is! RealmOne ... You will also provide advanced discovery support using machine learning, analytical prototyping ...

The Data Scientist is responsible for developing advanced analytics, machine learning, artificial intelligence, predictive modeling, and data visualization solutions that support mission objectives ...

Showing results 21-40

Intern Data Scientist Machine Learning information

See Baltimore, MD salary details

$25.3K

$42.3K

$87.4K

How much do intern data scientist machine learning jobs pay per year?

As of Aug 6, 2026, the average yearly pay for intern data scientist machine learning in Baltimore, MD is $42,313.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 per year, depending on experience, location, and employer.

What types of projects and responsibilities can an intern data scientist machine learning expect to work on?

As an Intern Data Scientist focused on Machine Learning, you will often assist in tasks such as data cleaning, feature engineering, and developing or testing machine learning models under the supervision of senior team members. You may also be involved in exploratory data analysis and help interpret model results to provide actionable insights. Interns typically collaborate closely with data engineers, analysts, and software developers, gaining exposure to end-to-end machine learning pipelines. This hands-on experience provides valuable learning opportunities and helps build the foundational skills needed for future roles in data science.

What are the key skills and qualifications needed to thrive as an intern data scientist machine learning, and why are they important?

To thrive as an Intern Data Scientist (Machine Learning), you need a solid understanding of statistics, programming skills (typically in Python or R), and foundational knowledge of machine learning algorithms, often supported by coursework or relevant projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter notebooks, and version control systems (e.g., Git) is commonly expected. Strong analytical thinking, curiosity, and effective communication skills help you interpret data insights and work collaboratively within a team. These abilities are crucial for translating data into actionable solutions and contributing to impactful machine learning projects.

What does an intern data scientist machine learning do?

An Intern Data Scientist in Machine Learning assists in analyzing large datasets, building predictive models, and extracting insights to support business decisions. They often work under the guidance of experienced data scientists to clean data, implement machine learning algorithms, and evaluate model performance. Their responsibilities may also include data visualization and reporting findings to team members. This role provides hands-on experience with real-world data science problems and tools, helping interns develop essential technical and analytical skills.

What is the difference between Intern Data Scientist Machine Learning vs Intern Data Analyst?

AspectIntern Data Scientist Machine LearningIntern Data Analyst
Required SkillsBasic programming, statistics, machine learning conceptsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, model development, algorithm testingData cleaning, reporting, dashboard creation
Common Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Data Scientist Machine Learning roles focus on developing and testing machine learning models, requiring knowledge of algorithms and programming. Intern Data Analyst positions emphasize data cleaning, analysis, and visualization. Both roles are entry-level but differ in technical depth and project focus, catering to different career paths within data-driven industries.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Baltimore, MD? The most popular types of Data Scientist Machine Learning jobs in Baltimore, MD are:
What are popular job titles related to Intern Data Scientist Machine Learning jobs in Baltimore, MD? For Intern Data Scientist Machine Learning jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Intern Data Scientist Machine Learning jobs in Baltimore, MD look for? The top searched job categories for Intern Data Scientist Machine Learning jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Intern Data Scientist Machine Learning jobs? Cities near Baltimore, MD with the most Intern Data Scientist Machine Learning job openings:

    Senior Data Scientist - GenAI/NLP

    Tiger Analytics Inc.

    Maryland City, MD • Remote

    Full-time

    Posted 26 days ago


    Job description

    Tiger Analytics is looking for experienced Senior Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

    We are seeking a highly skilled and experienced Senior Data Scientist, you will have the opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and drive business value through advanced analytics.

    The candidate will have deep expertise in Generative AI, Large Language Models (LLMs), NLP, Retrieval-Augmented Generation (RAG), and Agentic AI. This role requires strong theoretical understanding of modern AI architectures combined with hands-on experience building production-ready GenAI solutions for enterprise clients.

    Responsibilities:

    • Design and develop enterprise-grade Generative AI applications using state-of-the-art Large Language Models.
    • Architect scalable Retrieval-Augmented Generation (RAG) systems for enterprise knowledge retrieval.
    • Develop AI assistants, copilots, chatbots, document intelligence solutions, and autonomous AI agents.
    • Build domain-specific NLP solutions for document processing, search, summarization, classification, information extraction, and question answering.
    • Work extensively with open-source and commercial LLMs including GPT, Llama, Mistral, Qwen, Claude, Gemini, DeepSeek, and similar foundation models.
    • Select appropriate model architectures based on enterprise use cases
      Work on the latest applications of data science to solve business problems
    • Work directly with client stakeholders to translate business problems into high level analytics solution designs
    • Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value

    Requirements

    • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or related field.
    • 7+ years in Machine Learning, NLP, or Data Science.
    • 3+ years building enterprise Generative AI applications.
    • Strong experience delivering production-ready AI systems.
    • Strong analytical, problem-solving, and facilitation skills
    • Familiarity with task automation or AI/ML-driven solution design is a plus
    • Excellent written and verbal communication skills

    Benefits

    Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.