Data Science Intern

Inmar Intelligence

. Assist in developing and maintaining reusable components for data transformation, feature extraction, and model deployment using cloud technologies, primarily Google Cloud Platform .

Posted 10/20/2026part-timeWinston-Salem • North Carolina • United StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining data transformation components and machine learning models using Google Cloud Platform and statistical programming languages. Strong analytical and problem-solving abilities are essential for collaborating on data-driven solutions and improving analytical processes.

Highest-signal resume keywords

Google Cloud PlatformSQLPythonMachine Learning FrameworksStatistical Programming Languages

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data TransformationFeature ExtractionModel DeploymentMachine LearningStatistical Analysis

Soft Skills

Analytical SkillsOrganizational SkillsCommunication SkillsProblem-Solving SkillsCollaboration

Tools & Technologies

AWSAzureSparkTensorFlowPyTorch

Industry Keywords

Data ScienceData EngineeringStatisticsQuantitative FieldAI Tools

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonPyTorchSparkSQLTensorflow

About the role

Key responsibilities & impact

Assist in developing and maintaining reusable components for data transformation, feature extraction, and model deployment using cloud technologies, primarily Google Cloud Platform
Support the development and deployment of machine learning models and analytics pipelines
Collaborate with internal teams to develop data-driven solutions for business and product needs
Assist with ad-hoc analyses and identify opportunities to improve or standardize recurring analytical processes
Utilize AI tools to support coding, analysis, and problem-solving while following appropriate validation and review practices
Contribute to ongoing team projects and technical documentation as needed

Requirements

What you’ll need

Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Data Engineering, Computer Science, or a related quantitative field
Experience with SQL and cloud-based data platforms, preferably Google Cloud Platform
Experience with AWS, Azure, or Spark is also relevant
Experience with statistical programming languages and machine learning frameworks, including Python, R, SAS, TensorFlow, or PyTorch
Familiarity with AI-assisted coding and problem-solving tools, including appropriate validation and review practices
Strong analytical, organizational, communication, and problem-solving skills
Ability to work independently and collaboratively with cross-functional teams
Ability to work part-time onsite in Winston-Salem, NC, while enrolled in an academic program
Candidates must have authorization to work in the U.S. without the need for employer sponsorship now or in the future
Not eligible for student visa sponsorship, including F-1 OPT or CPT

Benefits

Comp & perks

Practical experience in data science, machine learning, and cloud-based technologies
Experience working alongside experienced professionals
Technical and professional skills development through practical experience and collaboration
Meaningful work experience during the school year
Opportunity to apply academic knowledge in a professional setting