AI Data Scientist Intern
At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.
We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose:
Honesty, Reliability, Collaboration, Curiosity, Passion
About the role and what you’ll be doing:
We are looking for potential participants for our 2026 Summer Internship Program and are excited to invite driven and self-motivated candidates to apply! Ensono is dedicated to cultivating talented individuals with unique skillsets who know how to dream big and build bigger! This is a paid position. Ensono’s paid internship is a 12-week program that runs from May 18th to August 7th, 2026 and could lead to a part-time or full-time position within Ensono.
Our summer internship is the entry point into our 12-month rotational program. The program aims to create a pathway to full-time employment and develop well-rounded junior associates with great potential. Each summer we choose two interns to join Ensono full-time and gain experience in different departments over 3-month rotations. Because of this, our ideal intern candidate would graduate by December 2026 and be interested in full-time opportunities after the internship ends.
What you can look forward to doing-
• Practical experience with end-to-end AI/ML projects in enterprise environments.
• Exposure to hybrid cloud and modern data platforms.
• Mentorship from senior data scientists and engineers.
• Opportunity to contribute to impactful solutions for Ensono’s clients
We want all new Interns to succeed in their roles at Ensono. That’s why we’ve outlined the job requirements below. To be considered for this role, it’s important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.
Required Qualifications
• Pursuing a degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field – 3rd year or pursing masters in the same fields.
• Experience with Python or R, and familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Understanding of supervised and unsupervised learning, regression, classification, clustering, and model evaluation techniques.
• Experience with data visualization tools (e.g., matplotlib, seaborn, Tableau, Power BI).
Preferred Qualifications
• Strong analytical, problem-solving, and communication skills.
• Interest in cloud platforms (AWS, Azure, Google Cloud) and MLOps is a plus.
Why Ensono?
Ensono is a place to make better happen – for our clients and for your career. You can do great things through innovation or collaboration, by learning or volunteering, or to promote diversity and inclusion. You can do great things for your own health or for a healthier planet. Whatever it means to you to do great things we want Ensono to be the place you can do it.
Ensono is an Equal Opportunity/Affirmative Action employer. We are committed to providing equal employment to our Associates and building a diverse and inclusive workforce. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or other legally protected basis, in accordance with applicable law.
As of the date of this posting, a good faith estimate of the current pay scale for this role is $20.00/hr based on a full-time schedule. Please note that placement in the range may vary based on numerous factors including but not limited to skills, experience, internal equity, and business needs.
Pay transparency nondiscrimination statement/posting OFCCP’s pay transparency policy can be found on OFCCP’s website.
If you need accommodation at any point during the application or interview process, please let your recruiter know or email [email protected].
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Apply To this Job
We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose:
Honesty, Reliability, Collaboration, Curiosity, Passion
About the role and what you’ll be doing:
We are looking for potential participants for our 2026 Summer Internship Program and are excited to invite driven and self-motivated candidates to apply! Ensono is dedicated to cultivating talented individuals with unique skillsets who know how to dream big and build bigger! This is a paid position. Ensono’s paid internship is a 12-week program that runs from May 18th to August 7th, 2026 and could lead to a part-time or full-time position within Ensono.
Our summer internship is the entry point into our 12-month rotational program. The program aims to create a pathway to full-time employment and develop well-rounded junior associates with great potential. Each summer we choose two interns to join Ensono full-time and gain experience in different departments over 3-month rotations. Because of this, our ideal intern candidate would graduate by December 2026 and be interested in full-time opportunities after the internship ends.
What you can look forward to doing-
• Practical experience with end-to-end AI/ML projects in enterprise environments.
• Exposure to hybrid cloud and modern data platforms.
• Mentorship from senior data scientists and engineers.
• Opportunity to contribute to impactful solutions for Ensono’s clients
We want all new Interns to succeed in their roles at Ensono. That’s why we’ve outlined the job requirements below. To be considered for this role, it’s important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.
Required Qualifications
• Pursuing a degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field – 3rd year or pursing masters in the same fields.
• Experience with Python or R, and familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Understanding of supervised and unsupervised learning, regression, classification, clustering, and model evaluation techniques.
• Experience with data visualization tools (e.g., matplotlib, seaborn, Tableau, Power BI).
Preferred Qualifications
• Strong analytical, problem-solving, and communication skills.
• Interest in cloud platforms (AWS, Azure, Google Cloud) and MLOps is a plus.
Why Ensono?
Ensono is a place to make better happen – for our clients and for your career. You can do great things through innovation or collaboration, by learning or volunteering, or to promote diversity and inclusion. You can do great things for your own health or for a healthier planet. Whatever it means to you to do great things we want Ensono to be the place you can do it.
Ensono is an Equal Opportunity/Affirmative Action employer. We are committed to providing equal employment to our Associates and building a diverse and inclusive workforce. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or other legally protected basis, in accordance with applicable law.
As of the date of this posting, a good faith estimate of the current pay scale for this role is $20.00/hr based on a full-time schedule. Please note that placement in the range may vary based on numerous factors including but not limited to skills, experience, internal equity, and business needs.
Pay transparency nondiscrimination statement/posting OFCCP’s pay transparency policy can be found on OFCCP’s website.
If you need accommodation at any point during the application or interview process, please let your recruiter know or email [email protected].
Apply tot his job
Apply To this Job