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Entry Level Data Science Jobs in Annapolis, MD (NOW HIRING)

Data Protection, A/SA-Evergreen

Baltimore, MD ยท On-site

$84K - $100K/yr

Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Data Protection, A/SA-Evergreen

Washington, DC ยท On-site

$84K - $100K/yr

Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Building trusted relationships with our network of engineering and sciences consultants under our ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

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Entry Level Data Science information

See Annapolis, MD salary details

$10

$18

$26

How much do entry level data science jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for entry level data science in Annapolis, MD is $18.86, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $21.20 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

What types of projects or tasks can I expect to work on as an entry level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an entry level data scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to gain experience.

How to start a career in entry level data science with no experience?

To start a career in entry level data science with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, earning certifications, and working on personal projects or internships can demonstrate your abilities to employers and help you gain practical experience.

What are the most commonly searched types of Data Science jobs in Annapolis, MD?

The most popular types of Data Science jobs in Annapolis, MD are:

What are popular job titles related to Entry Level Data Science jobs in Annapolis, MD?

For Entry Level Data Science jobs in Annapolis, MD, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Science jobs in Annapolis, MD look for?

The top searched job categories for Entry Level Data Science jobs in Annapolis, MD are:

What cities near Annapolis, MD are hiring for Entry Level Data Science jobs?

Cities near Annapolis, MD with the most Entry Level Data Science job openings:

Infographic showing various Entry Level Data Science job openings in Annapolis, MD as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $39,230 per year, or $18.9 per hour.

Deals - Diligence Analytics Intern - Summer 2027

PRICEWATERHOUSECOOPERS CORPORATE FINANCE LLC

Washington, DC โ€ข On-site

$29.25 - $48/hr

Full-time

Posted 3 days ago

New


Job description

Industry/Sector

Not Applicable

Specialism

Analytics

Management Level

Intern/Trainee

Job Description & Summary

The Opportunity
As a Deals - Diligence Analytics Intern, you will engage in data analysis and support client-facing projects within our Advisory practice. This role offers a unique chance to immerse yourself in the world of data and analytics, where you will assist in gathering and analyzing data to provide valuable insights for our clients. You will be part of a dynamic team that guides clients towards sustainable growth and competitive advantage in today's dynamic market.
As an Intern, you will focus on learning and gaining exposure to PwC's practices. You will support teams by performing basic tasks and conducting research, all while observing professional work environments. This role emphasizes the importance of taking both observational and participatory roles on teams, allowing you to develop your personal brand and contribute to project goals.
In this role at PwC, you will have the opportunity to work on a variety of assignments, each presenting different challenges and scope. You are encouraged to ask questions, take initiative, and produce quality work that adds value for our clients and contributes to our team's success. This experience will pave the way for more opportunities as you start to establish your personal brand.
Responsibilities
- Supporting teams in data analysis projects to gain exposure to PwC's practices
- Participating in the development of data-driven insights to assist client decision-making
- Conducting research and gathering information to enhance data analysis processes
- Assisting in the creation and maintenance of data visualization dashboards
- Engaging in algorithm development to solve analytical problems
- Utilizing tools like Alteryx and Power BI for data processing and visualization
- Collaborating with team members to integrate data from various sources
- Applying data mining techniques to identify patterns and trends in large datasets
- Contributing to the preparation of analytical reports and presentations
- Observing and learning from experienced professionals to develop personal skills and knowledge
What You Must Have
- Currently pursuing or have completed a Bachelor's degree
- Client service intern positions are entry-level and job seekers are traditionally either in their 3rd year of a 4 year degree program or in the 4th year of a 5 year program. Client service interns typically join us during the winter/spring or summer prior to their intended graduation year
What Sets You Apart
- Preference for at least one of the following fields of study: Business Analytics, Computer Information System, Computer Programming, Data Processing/Analytics/Science, Industrial & System Engineering, Industrial and Operations Engineering, Industrial Engineering, Informatics, Information Science, Information System, Information Technology, Management Information Systems
- Preferred cumulative GPA: 3.3
- Preferred major GPA: 3.3
- Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
- Supporting teams with data-driven insights and analytics solutions
- Participating in cloud platform design and data architecture projects
- Observing and learning from PwC's advisory consultants in dynamic markets
- Developing skills in data science and artificial intelligence applications

Travel Requirements

Up to 80%

Job Posting End Date

September 26, 2026The salary range for this position is: $29.25 - $48.00. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.As PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.