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Internship Machine Learning R Jobs in Concord, NC

Marencor

ML Engineer

Charlotte, NC · On-site

Proven experience in data science, machine learning, or predictive analytics roles * Proficiency in programming languages commonly used in data science (e.g., Python, R, etc.) * Experienced in using ...

CYNET SYSTEMS

Data Scientist

Charlotte, NC · On-site

$60 - $65/hr

Proficiency in Python and R. * Experience with AWS services. * Knowledge of machine learning algorithms. Education and Experience: * Bachelor's degree in Computer Science, Data Science, or a related ...

Jobsultant Solutions

Data Analyst

Charlotte, NC

Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

Ztek Consulting INC

Data Scientist

Charlotte, NC · On-site

Design and implement end-to-end machine learning ML pipelines using services such as Amazon ... Develop predictive models and statistical analyses using Python R or similar tools * Deploy monitor ...

IFab Corporation

Data Scientist

Gastonia, NC · On-site

Proven experience in data analysis, machine learning, or predictive modeling * Strong proficiency in Python, R, or SQL * Experience with data visualization tools (e.g., Tableau, Power BI) * Knowledge ...

Deloitte

Cyber - SecOps - Consultant

Charlotte, NC · On-site

... machine learning, and data mining * 2+ years of experience using statistical computer languages such as Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, perform ...

Belk

Associate Decision Scientist

Charlotte, NC · On-site

$57K - $58K/yr

Solid proficiency in Python and/or R for statistical modeling, machine learning, and data manipulation. * Working knowledge of supervised and unsupervised ML algorithms: gradient boosting (XGBoost ...

Belk

Associate Decision Scientist

Charlotte, NC · On-site

$55K - $55K/yr

Solid proficiency in Python and/or R for statistical modeling, machine learning, and data manipulation. * Working knowledge of supervised and unsupervised ML algorithms: gradient boosting (XGBoost ...

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Internship Machine Learning R information

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$23.8K

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$82K

How much do internship machine learning r jobs pay per year?

As of Aug 16, 2026, the average yearly pay for internship machine learning r in Concord, NC is $39,661.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,800.00 per year, depending on experience, location, and employer.

What is the difference between Internship Machine Learning R vs Data Analyst Intern?

AspectInternship Machine Learning RData Analyst Intern
Required SkillsProficiency in R, basic machine learning concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
Work EnvironmentResearch labs, tech companies, startups focusing on AI/ML projectsBusiness environments, consulting firms, marketing agencies
Industry UsagePrimarily in tech, AI, and data science sectorsAcross various industries including finance, marketing, and healthcare

Internship Machine Learning R focuses on applying R programming to develop machine learning models, often in tech and AI sectors. In contrast, Data Analyst Internships emphasize data visualization, statistical analysis, and reporting across diverse industries. Both roles require data handling skills but differ in their focus on machine learning versus data interpretation.

Internship Machine Learning R jobs near you

Applied Machine Learning Engineer (All Levels)

Allstate

Concord, NC • On-site, Remote

Full-time

Re-posted 22 days ago

Allstate Insurance rating

7.5

Company rating: 7.5 out of 10

Based on 566 frontline employees who took The Breakroom Quiz

222nd of 308 rated insurance

Job description

At Allstate, great things happen when our people work together to protect families and their belongings from life's uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Job Description

Join Allstate Technology Solutions, a pioneering force committed to revolutionizing the way our employees, agencies, and customers interact digitally. Our mission is to harness cutting-edge technology, innovative product design, and the power of artificial intelligence to create a worldclass customer experience. We aim to redefine the customer experience, ensuring consistency and operational efficiency across all touchpoints and channels.
Become a part of our story.
At Allstate Technology Solutions, you'll find a collaborative and dynamic team focused on exploring new capabilities and pushing the boundaries of what's possible. The team works in a continuous innovation cycle of ideas, research, testing, analysis, and delivery.
About the Role
As a Machine Learning Engineer at Allstate, you will design, build, and operate machine-learning models that deliver real business impact. You'll work across the full ML lifecycle-including data exploration, feature engineering, model building, deployment, monitoring, and ongoing improvement. Our team emphasizes pair programming and test-driven development to ensure high-quality, reliable solutions.
What You'll Do (Responsibilities Vary by Level)
Entry-Level (Consultant II): Support model development, data exploration, testing, and deployments; collaborate through pair programming and learning best practices.
Mid-Level (Senior Consultant I): Build and deploy production ML models, own key components of ML projects, and partner with cross-functional teams.
Senior-Level (Senior Consultant II): Lead end-to-end ML initiatives, architect ML pipelines, mentor junior engineers, and influence technical direction.

Education

Bachelor's degree (STEM preferred).

Experience

Entry-Level: 0-2 years (academic, internship, or professional).

Mid-Level: 3+ years building ML solutions.

Senior-Level: 3+ years deploying and operating ML systems.

Technical Skills

Python (pandas,numpy, scikit-learn) and software engineering foundations.

ML libraries:

-Experience with libraries such as scikit-learn,XGBoost,LightGBMrequired.

-Experience withPyTorch/TensorFlowisa plus.

SQL for data exploration and feature engineering.

Knowledge of model evaluation and interpretability (e.g., SHAP).

Willingness to learn Terraform, Java, and Typescript (no prior experiencerequired).

Soft Skills

Strong communicationand collaboration abilities.

Ability to work with technical and non-technical partners.

Leadership and mentoring experience for senior roles.

Preferred Qualifications

Spark or distributed computing.

Familiarity with APIs, containers, CI/CD, monitoring, drift detection.

MLflow, SageMaker, Azure ML, Docker, CI/CD.

AWS, Azure, or GCP cloud experience.

Experience with deep learning, NLP, computer vision, or LLM/RAG.

Prior ownership of end-to-end ML products.

Insurance or financial services experience.

#LI-PG1

Skills

Applied Machine Learning, Machine Learning (ML), Machine Learning Algorithms, Model Building, Model Development, Model Evaluation, Python (Programming Language), PyTorch, Structured Query Language (SQL), Tensorflow

Compensation

Compensation offered for this role is 110,000.00 - 181,025.00 annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger - a winning team making a meaningful impact.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

For jobs in San Francisco, please click "here" for information regarding the San Francisco Fair Chance Ordinance.


For jobs in Los Angeles, please click "here" for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance.

To view the "EEO Know Your Rights" poster click "here". This poster provides information concerning the laws and procedures for filing complaints of violations of the laws with the Office of Federal Contract Compliance Programs.

To view the FMLA poster, click "here". This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.

It is the Company's policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee's ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited. This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

Allstate provides a comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse. Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.

When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating. Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.

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