1

Intern Data Scientist Machine Learning Jobs in Baltimore, MD

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

Data Scientist 2

Annapolis, MD · On-site

$122K - $168K/yr

You will be providing advanced discovery support utilizing machine learning, analytical prototyping ... The Level 2 Data Scientist shall possess the following capabilities: * Foundations: (Mathematical ...

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

Data Scientist

Belcamp, MD · On-site

$77K - $176K/yr

As a data scientist at Booz Allen, you can help turn these complex data sets into useful ... Knowledge of machine learning, AI, or Natural Language Processing (NLP) * Knowledge of text mining ...

Data Scientist

Annapolis, MD · On-site

$119K - $285K/yr

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python ...

Data Scientist

Fort George G Meade, MD · On-site

$99K - $225K/yr

Ever-expanding technologies like IoT, machine learning, and artificial intelligence are generating more structured and unstructured data than ever before. As a data scientist, you know that within ...

Design, develop, and maintain machine learning and deep learning models, including both traditional (e.g., regression, tree-based models) and neural network-based approaches. * Build and deploy end ...

Data Scientist 4

Annapolis, MD · On-site

$212K - $267K/yr

Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field ...

Data Scientist

Fort George G Meade, MD · On-site

$99K - $225K/yr

Ever-expanding technologies like IoT, machine learning, and artificial intelligence are generating more structured and unstructured data than ever before. As a data scientist, you know that within ...

Data Scientist

Windsor Mill, MD · On-site +1

$102K - $144K/yr

Design, develop, and maintain machine learning and deep learning models, including both traditional (e.g., regression, tree-based models) and neural network-based approaches. * Build and deploy end ...

Showing results 41-60

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:

    Full-time

    Re-posted 13 days ago


    Job description

    The Amivero Team 
    Amivero’s team of IT professionals delivers digital services that elevate the federal government, whether national security or improved government services. Our human-centered, data-driven approach is focused on truly understanding the environment and the challenge, and reimagining with our customer how outcomes can be achieved.  
     
    Our team of technologists leverage modern, agile methods to design and develop equitable, accessible, and innovative data and software services that impact hundreds of millions of people.  
     
    As a member of the Amivero team you will use your empathy for a customer’s situation, your passion for service, your energy for solutioning, and your bias towards action to bring modernization to very important, mission-critical, and public service government IT systems. 
     
    Special Requirements 

    • US Citizenship Required to obtain a Public Trust
    • Bachelor Degree
    • Must be local to the DMV area


    The Gist… 

    The Data Scientist is responsible for developing advanced analytics, machine learning, artificial intelligence, predictive modeling, and data visualization solutions that support mission objectives and operational decision making. The individual works closely with business stakeholders, Data Engineers, architects, and application development teams to transform complex data into actionable insights and deploy scalable AI/ML solutions within cloud environments.


    • Analyze large and complex datasets to identify trends, patterns, risks, and opportunities that support business and operational objectives.
    • Design, develop, train, evaluate, and deploy machine learning models and predictive analytics solutions.
    • Develop statistical models, forecasting solutions, classification models, and advanced analytical capabilities using structured and unstructured data.
    • Collaborate with Data Engineers to design scalable data pipelines and support production AI/ML environments.
    • Develop dashboards, reports, visualizations, and analytical products that communicate complex findings to technical and non-technical stakeholders.
    • Perform feature engineering, model tuning, model validation, and performance monitoring activities.
    • Support AI/ML governance, model lifecycle management, and continuous improvement initiatives.
    • Conduct exploratory data analysis and provide recommendations that support program and business objectives.
    • Collaborate with application development and cloud engineering teams to integrate analytics and machine learning capabilities into enterprise applicationsSupport data quality, security, compliance, and governance requirements throughout the analytics lifecycle

    • Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related quantitative discipline.
    • Experience applying statistical analysis, machine learning, predictive modeling, data mining, and advanced analytics techniques to solve complex business and operational challenges.
    • Experience utilizing Python, SQL, NumPy, PyTorch, Scikit-Learn, Spark/Scala, and Databricks to develop machine learning and data science solutions.
    • Experience working with enterprise data platforms including PostgreSQL, Oracle, SQL Server, Aurora, OpenSearch, Redis, and cloud-based data repositories.
    • Experience utilizing AWS cloud services including S3, Kinesis, Lambda, Aurora, RDS, OpenSearch, CloudWatch, and related analytics services.
    • Experience developing dashboards, reports, and visualizations utilizing Tableau, Kibana, Splunk, and other business intelligence platforms.
    • Experience supporting production AI/ML deployments, model monitoring, model optimization, and operational analytics environments.
    • Experience working with large-scale data processing and distributed computing frameworks.
    • Strong written and verbal communication skills with the ability to communicate technical concepts to technical and non-technical audiences.
    • Experience collaborating within Agile, DevSecOps, and cross-functional product delivery teams.

    EOE/M/F/VET/DISABLED 

    All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Amivero complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.