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Entry Level Data Science Jobs in Mount Laurel, NJ

Pace

Entry-Level Lab Technician 1

Pennsauken, NJ · On-site

$18/hr

Join our mission to continuously move science forward; to innovate and advance all aspects of our ... accurate quality data at every critical moment and milestone. That's why we need you -- your ...

Pacelabs

Entry-Level Lab Technician 1

Pennsauken, NJ · On-site

$18/hr

Join our mission to continuously move science forward; to innovate and advance all aspects of our ... accurate quality data at every critical moment and milestone. That's why we need you -- your ...

FTI Consulting

2027 Intern - Technology

Trenton, NJ

$15 - $20/hr

The internship program at FTI Consulting serves as a key pathway to entry-level consultant ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

FTI Consulting

2027 Intern - Technology

Philadelphia, PA

$15.25 - $20.25/hr

The internship program at FTI Consulting serves as a key pathway to entry-level consultant ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

FTI Consulting

2027 Intern - Technology

Trenton, NJ · On-site

$15 - $20/hr

The internship program at FTI Consulting serves as a key pathway to entry-level consultant ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

FTI Consulting

2027 Intern - Technology

Philadelphia, PA · On-site

$15.25 - $20.25/hr

The internship program at FTI Consulting serves as a key pathway to entry-level consultant ... Business, Computer Forensics, Cybersecurity, Data Analytics, Data Science, Digital Forensics ...

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Entry Level Data Science information

See Mount Laurel, NJ salary details

$10

$18

$26

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

As of Sep 2, 2026, the average hourly pay for entry level data science in Mount Laurel, NJ is $18.87, 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 Mount Laurel, NJ?

The most popular types of Data Science jobs in Mount Laurel, NJ are:

What are popular job titles related to Entry Level Data Science jobs in Mount Laurel, NJ?

For Entry Level Data Science jobs in Mount Laurel, NJ, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Science jobs in Mount Laurel, NJ look for?

The top searched job categories for Entry Level Data Science jobs in Mount Laurel, NJ are:

What cities near Mount Laurel, NJ are hiring for Entry Level Data Science jobs?

Cities near Mount Laurel, NJ with the most Entry Level Data Science job openings:

Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Mount Laurel, NJ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $39,246 per year, or $18.9 per hour.

Finance Transformation - Finance Operations Consulting - Senior Associate

Pwc

Philadelphia, PA • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Finance

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Finance Transformation - Finance Operations Consulting - Senior Associate, you will work alongside CEOs, CFOs, controllers, and treasurers to optimize the structure of their finance functions and enhance their contribution to the business. Within our Finance practice, you will address challenges in achieving appropriate standards of control and support the business through insightful strategies and streamlined processes. As a Senior Associate, you will leverage your skills to analyze complex problems, mentor others, and maintain professional standards. You will focus on building client relationships and developing a deeper understanding of the business context.
In this role, you will be part of a team that transforms finance functions by executing strategies to reduce complexity and optimize technology use. You will have the opportunity to guide and mentor junior team members, fostering a culture of continuous improvement. By navigating complex situations and embracing ambiguity, you will grow your personal brand and deepen your technical skills. This position offers a chance to make meaningful client connections and deliver quality solutions that align with the firm's overall business strategies.
Responsibilities
- Collaborating with finance leaders to optimize finance function structures and enhance business contributions
- Streamlining processes and utilizing technology to reduce operational complexity and improve efficiency
- Supporting clients in achieving appropriate standards of control and efficient back-office operations
- Executing strategies to deliver cost-effective, quality services to stakeholders
- Analyzing financial data to provide insights and challenge business decisions
- Managing financial operations consulting projects, confirming alignment with client objectives
- Developing financial models and forecasts to support strategic decision-making
- Reviewing financial statements and reports for accuracy and relevance
- Implementing financial internal controls to safeguard assets and validate compliance
- Guiding and mentoring junior team members to foster professional growth and development
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Finance, Mathematics/Statistics, Risk Management/Insurance
- At least one of the following: Current pursuit of or an active Certified Public Accountant (CPA) license

- Experience in record to report, procure to pay, order to cash cycles
- Supporting complex finance transformation initiatives

- In-depth knowledge of finance process optimization and financial systems implementations

- Implementing GenAI and digital finance transformation solutions
- Demonstrating analytical thinking and problem-solving skills in finance operations
- Experience in managerial cost accounting and financial modeling
- Excelling in financial statement analysis and preparation
- Managing financial services operations with a focus on operational excellence
- Embracing change and adapting to evolving industry trends

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs 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.

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK

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