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Entry Level Sap Data Scientist Jobs in Raleigh, NC

Pwc

AI & GenAI Data Scientist - Manager

Raleigh, NC

$99K - $232K/yr

... GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Infosys Limited Digital

SAP ATTP Consultant

Raleigh, NC · On-site

$61.25 - $83.50/hr

Join us to be part of a team that is transforming the life sciences sector, driving innovation, and ... data flow between ERP and other applications • Assess ERP system performance to identify ...

Pwc

SAP BRIM Consultant, Senior Associate

Raleigh, NC

$77K - $202K/yr

In this role, you will leverage your skills to analyze complex concepts and interpret data to ... Business Administration/Management, Computer Science/Information Systems - Demonstrating ...

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All JobsSap Data Scientist JobsEntry Level Sap Data Scientist JobsEntry Level Sap Data Scientist Jobs in Raleigh, NC

Entry Level Sap Data Scientist information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

How much do entry level sap data scientist jobs pay per year?

As of Sep 2, 2026, the average yearly pay for entry level sap data scientist in Raleigh, NC is $160,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $165,300.00 per year, depending on experience, location, and employer.

What does an entry level SAP data scientist do?

An Entry Level SAP Data Scientist is responsible for analyzing large sets of data within SAP systems to help organizations make data-driven decisions. They use statistical methods, machine learning, and data visualization tools to identify patterns, trends, and insights from business data. Typically, they work closely with business analysts and IT teams to develop and implement data models, automate data processing, and generate reports that support business objectives. This role often involves cleaning and preparing data, as well as learning SAP-specific analytics tools like SAP HANA and SAP Predictive Analytics.

What are the key skills and qualifications needed to thrive as an entry level SAP data scientist?

To thrive as an Entry Level SAP Data Scientist, you need a strong background in statistics, data analysis, and programming (often in Python or R), typically supported by a relevant degree in computer science, data science, or a related field. Familiarity with SAP analytics tools (like SAP HANA, SAP BW, or SAP Analytics Cloud), as well as data visualization platforms and SQL, is commonly expected. Analytical thinking, problem-solving, and effective communication are essential soft skills that help in interpreting data and presenting findings to stakeholders. These skills and qualifications are crucial for extracting actionable insights from data, supporting business decisions, and succeeding in a technology-driven environment.

What types of projects do entry level SAP data scientists typically work on, and how do they contribute to the overall business goals?

Entry-level SAP Data Scientists often work on projects involving data extraction, transformation, and analysis within SAP environments. They typically support senior data scientists by preparing large datasets, building basic models, and generating reports that help stakeholders make informed decisions. Their contributions are crucial in streamlining business processes, identifying patterns, and improving operational efficiency. Collaboration is common with SAP consultants, IT teams, and business analysts to ensure data-driven solutions align with organizational objectives.

What is the difference between Entry Level Sap Data Scientist vs Entry Level SAP Analyst?

AspectEntry Level Sap Data ScientistEntry Level SAP Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; basic knowledge of SAP modules; familiarity with data analysis toolsBachelor's in Information Systems, Business, or related field; basic SAP certification; understanding of SAP modules and business processes
Work EnvironmentData analysis, modeling, and visualization tasks within IT or analytics teamsSystem configuration, support, and process analysis within SAP support teams
Employer & Industry UsageTech companies, consulting firms, industries using SAP for data insightsManufacturing, finance, logistics, and other industries utilizing SAP ERP systems

In summary, Entry Level SAP Data Scientists focus on analyzing SAP data and developing models, while Entry Level SAP Analysts support SAP systems and optimize business processes. Both roles require familiarity with SAP but differ in their core responsibilities and skill sets.

What are popular job titles related to Entry Level Sap Data Scientist jobs in Raleigh, NC?

For Entry Level Sap Data Scientist jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Entry Level Sap Data Scientist jobs in Raleigh, NC look for?

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Cities near Raleigh, NC with the most Entry Level Sap Data Scientist job openings:

Entry Level Sap Data Scientist jobs near you

AI & GenAI Data Scientist - Manager

Pwc

Raleigh, NC

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 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

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

The Opportunity
As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. As a Manager, you will enhance your leadership style by motivating, developing, and inspiring others to deliver quality. You will be responsible for coaching, leveraging team members' unique strengths, and managing performance to meet client expectations. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.
In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. You will also identify opportunities that contribute to the success of our firm, embracing technology and innovation to enhance your delivery and encouraging others to do the same.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Leading teams in the development of scalable machine learning models and solutions
- Managing complex data analysis and integration to support AI-driven initiatives
- Utilizing programming languages such as Python and Java to enhance AI model deployment
- Overseeing the creation and maintenance of data pipelines and infrastructure
- Applying deep learning techniques and neural networks to improve predictive analytics
- Collaborating with stakeholders to address data challenges and optimize AI applications
- Mentoring team members to develop skills in AI implementation and data engineering
- Validating data quality and compliance within AI frameworks
- Encouraging innovation and embracing change to drive business growth through AI solutions
What You Must Have
- At least a Bachelor's degree
- At least 6 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing complex data analysis and data modeling techniques
- Excelling in coaching and mentoring team members
- Embracing change and innovation in technology consulting
- Developing skills in neural networks and natural language processing

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. 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.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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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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