Jr. AI Data Scientist/Engineer

Capgemini; Charlotte (NC); On-site; USD 60,000 - 65,000; Full time

Benefits offered by this job

Comprehensive benefits

Job summary

Capgemini in Charlotte, NC is seeking an entry-level professional with a solid Computer Science foundation who loves data. Recent graduates with data analysis or data engineering academic projects are encouraged to apply.

You will assist in data collection, cleaning, and transformation for analytics and reporting, write and optimize SQL queries, support data pipelines and databases, and collaborate with senior team members to generate insights.

Qualifications

• Bachelor’s degree in computer science, Information Technology, or a related field.
• Academic experience with data-related projects (data analysis, database design, or similar).
• Strong knowledge of SQL (must-have).
• Basic understanding of data structures, algorithms, and relational databases.
• Good problem-solving skills and attention to detail.

Responsibilities

• Assist in data collection, cleaning, and transformation for analytics and reporting.
• Write and optimize SQL queries for data extraction and manipulation.
• Support the development and maintenance of data pipelines and databases.
• Collaborate with senior team members to analyze datasets and generate insights.
• Document processes and contribute to continuous improvement initiatives.

Skills

SQL

Data analysis

Python

Tableau

Power BI

Problem solving

Education

Bachelor’s degree in CS/IT or related field

Tools

ETL processes

Job description

We are looking for a motivated entry-level professional with a strong foundation in Computer Science and a passion for working with data. This role is ideal for recent graduates who have completed academic projects involving data analysis or data engineering and are eager to start their career in a dynamic environment.

Responsibilities

• Assist in data collection, cleaning, and transformation for analytics and reporting.
• Write and optimize SQL queries for data extraction and manipulation.
• Support the development and maintenance of data pipelines and databases.
• Collaborate with senior team members to analyze datasets and generate insights.
• Document processes and contribute to continuous improvement initiatives.

Qualifications

• Bachelor’s degree in computer science, Information Technology, or a related field.
• Academic experience with data-related projects (data analysis, database design, or similar).
• Strong knowledge of SQL (must-have).
• Basic understanding of data structures, algorithms, and relational databases.
• Good problem-solving skills and attention to detail.

Preferred Skills

• Familiarity with Python or other programming languages for data manipulation.
• Exposure to data visualization tools (e.g., Tableau, Power BI) during academic projects.
• Understanding of basic concepts in data warehousing or ETL processes.

The base compensation range for this role in the posted location is: 60,000 - 65,000.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.

In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice

Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.