Entry Level Data Scientist Jobs
New grad data scientist jobs welcome recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship project can matter more than a long resume. Most openings are Technology & Software, Banking & Financial Services, and E-Commerce & Online Marketplaces roles across a mix of on-site, remote, and hybrid settings, with employers like TikTok, Capital One, and DoorDash hiring at this level now.
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INTRODUCTION
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
LOCATION
Houston TX
YOUR ROLE
The Junior AI-Native Consultant is an early-career, client-facing role focused on applying AI, Machine Learning, and Generative AI solutions within the Energy & Utilities sector. The role supports digital transformation initiatives by developing AI-powered solutions, analytics, and automation capabilities.
Key Responsibilities
- Assist in developing AI/ML, Generative AI, and Predictive AI solutions.
- Build and support AI agents, agentic workflows, and RAG-based applications.
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Work with cloud platforms:
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AWS
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Azure
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GCP
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Use tools such as:
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Databricks
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PySpark
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LangChain
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GPT/Claude/LLMs
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Support data preparation, model deployment, monitoring, and MLOps activities.
- Participate in client workshops, presentations, and solution discussions.
- Develop reusable assets, demos, and accelerators.
REQUIRED SKILLS
- Python
- AI/ML Fundamentals
- Generative AI & LLMs
- RAG Concepts
- REST APIs & JSON
- SQL & NoSQL Databases
- Cloud Technologies (AWS/Azure/GCP)
- Docker, CI/CD, Azure DevOps
REQUIRED SKILLS AND EXPERIENCE
Bachelor's or Master's degree in AI, Data Science, Computer Science, Engineering, or related field.
Minimum 15 months of professional experience in AI, Data Science, or Machine Learning.
Experience or background in:
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Energy & Utilities
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Oil & Gas
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Oracle Field Service Cloud (preferred)
PREFERRED SKILLS
- TensorFlow, PyTorch, scikit-learn
- NLP and Computer Vision
- Neo4j or Graph Databases
- Seeq, PHD Historians
- Jira & Confluence
IDEAL CANDIDATE
An early-career AI consultant with strong foundations in Machine Learning, Generative AI, Python, Cloud Technologies, and Data Engineering, combined with domain knowledge in Energy & Utilities, Oil & Gas, or Oracle Field Service Cloud, and strong client-facing communication skills.
COMPENSATION
- The base compensation range for this role in the posted location is $80,000 - $105,000.
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.
BENEFITS
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 reach out to your recruiting contact.
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.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
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Who's Hiring



Top Industries Hiring
- Technology & Software48
- Banking & Financial Services17
- E-Commerce & Online Marketplaces9
- Retail8
- Biotechnology & Pharmaceuticals8
Entry Level Data Scientist Jobs: Frequently Asked Questions
How do I get an entry level data scientist job?
Entry level data scientist employers look for hands-on evidence of skill over a long work history. A portfolio of projects built in Python or R, familiarity with SQL and basic machine learning libraries, and at least one internship or capstone project can give you a real edge. Tailoring your application to each job description and highlighting what you built and why it mattered helps your resume stand out at this stage.
Which companies hire entry level data scientists?
Companies hiring entry level data scientists right now include TikTok, Capital One, and DoorDash, based on current listings on Migrate Mate as of September 2026. Hiring at this level comes from a broad range of employers, including fast-growing startups building out analytics teams for the first time and established organizations looking to expand junior data science capacity.
Are there remote entry level data scientist jobs?
Yes, though availability varies by employer and industry. About 29% of entry level data scientist openings are remote or hybrid as of September 2026, so a meaningful share of roles offer flexibility even for candidates just starting out. Filtering by work setting on Migrate Mate lets you see which specific openings match the arrangement you're looking for.
Are these new grad data scientist jobs?
Yes, these listings include new grad, recent graduate, and junior data scientist roles alongside other entry level openings. A posting is generally new-grad friendly when it explicitly welcomes zero to two years of experience, accepts internship or academic project work in place of full-time history, or asks for a portfolio rather than a proven work record. Look for those signals in the job description to quickly assess fit.
Which industries hire the most entry level data scientists?
Entry level data scientist roles concentrate in Technology & Software, Banking & Financial Services, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of September 2026. Those sectors tend to drive hiring at this level because they generate large volumes of structured and unstructured data and need junior analysts and scientists to help turn it into actionable insight.