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Intern Data Scientist Machine Learning Jobs in North Carolina

Staffingine LLC

Data Scientist

Charlotte, NC · On-site

Expertise in machine learning statistical modelling and data thoughtfulness to develop and implement advanced algorithms and thoughtful solutions * Manage end-to-end data science projects ensuring ...

Teladoc

Senior Machine Learning Scientist

Concord, NC · On-site +1

Summary of Position The Machine Learning effort is part of the Data Science team at Teladoc Health. In this role, you will partner with Product, Engineering, Clinical,Operations, Marketing and Data ...

Compunnel

Data Scientist

Raleigh, NC · On-site

We are seeking a Senior Data Scientist with deep expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and production-scale machine learning systems. This ...

Compunnel

Senior Data Scientist

Raleigh, NC · On-site

The Data Scientist will work closely with Machine Learning Engineers throughout the production lifecycle and provide technical mentorship and subject matter expertise to colleagues. Key ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...

Conch Technologies

Lead Data Scientist

Charlotte, NC · On-site

Lead Data Scientist Location: Charlotte, NC ( Onsite 5 days a week ) Duration: 12+ Months Contract ... Design and deploy machine learning models, predictive networks, or natural language/AI features.

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Intern Data Scientist Machine Learning information

What does an intern data scientist machine learning do?

An Intern Data Scientist in Machine Learning assists in analyzing large datasets, building predictive models, and extracting insights to support business decisions. They often work under the guidance of experienced data scientists to clean data, implement machine learning algorithms, and evaluate model performance. Their responsibilities may also include data visualization and reporting findings to team members. This role provides hands-on experience with real-world data science problems and tools, helping interns develop essential technical and analytical skills.

What types of projects and responsibilities can an intern data scientist machine learning expect to work on?

As an Intern Data Scientist focused on Machine Learning, you will often assist in tasks such as data cleaning, feature engineering, and developing or testing machine learning models under the supervision of senior team members. You may also be involved in exploratory data analysis and help interpret model results to provide actionable insights. Interns typically collaborate closely with data engineers, analysts, and software developers, gaining exposure to end-to-end machine learning pipelines. This hands-on experience provides valuable learning opportunities and helps build the foundational skills needed for future roles in data science.

What are the key skills and qualifications needed to thrive as an intern data scientist machine learning, and why are they important?

To thrive as an Intern Data Scientist (Machine Learning), you need a solid understanding of statistics, programming skills (typically in Python or R), and foundational knowledge of machine learning algorithms, often supported by coursework or relevant projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter notebooks, and version control systems (e.g., Git) is commonly expected. Strong analytical thinking, curiosity, and effective communication skills help you interpret data insights and work collaboratively within a team. These abilities are crucial for translating data into actionable solutions and contributing to impactful machine learning projects.

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

AspectIntern Data Scientist Machine LearningIntern Data Analyst
Required SkillsBasic programming, statistics, machine learning conceptsData analysis, Excel, SQL, visualization tools
Work EnvironmentResearch-focused, model development, algorithm testingData cleaning, reporting, dashboard creation
Common Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Data Scientist Machine Learning roles focus on developing and testing machine learning models, requiring knowledge of algorithms and programming. Intern Data Analyst positions emphasize data cleaning, analysis, and visualization. Both roles are entry-level but differ in technical depth and project focus, catering to different career paths within data-driven industries.

What are the most commonly searched types of Data Scientist Machine Learning jobs in North Carolina?

The most popular types of Data Scientist Machine Learning jobs in North Carolina are:

What are popular job titles related to Intern Data Scientist Machine Learning jobs in North Carolina?

For Intern Data Scientist Machine Learning jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Intern Data Scientist Machine Learning jobs in North Carolina look for?

The top searched job categories for Intern Data Scientist Machine Learning jobs in North Carolina are:

What cities in North Carolina are hiring for Intern Data Scientist Machine Learning jobs?

Cities in North Carolina with the most Intern Data Scientist Machine Learning job openings:

Intern Data Scientist Machine Learning jobs near you

Data Scientist

Staffingine LLC

Charlotte, NC • On-site

Contractor

Re-posted 7 days ago

Job description

Job Title: Data Scientist 
Job Location: Charlotte, NC 
Job Type: Contract 

Job Description: 

  • Expertise in machine learning statistical modelling and data thoughtfulness to develop and implement advanced algorithms and thoughtful solutions 

  • Manage end-to-end data science projects ensuring alignment with business objectives and the successful delivery of actionable insights 

  • Contributes to the strategic vision of the Data Science MLOps team providing input on initiatives that align with business objectives 

  • Apply strong thoughtfulness and problem solving skills to address complex data demands and generate valuable insights 

MUST HAVE 

  • Bachelor's degree or Advanced degree in Computer Science Statistics Mathematics or related discipline 

  • 4 years of experience in data science ML Model development with a focus on guiding complex projects and delivering impactful solutions 

  • 4 years of working experience with Azure Databricks or AWS Databricks with endtoend Model development in these stacks 

  • Expertise in more than 2 areas of AIML like Machine LearningDeep learningNLP 

  • Expertise in GitHub Actions CICD pipeline ML Ops framework 

  • Experience with Python PySpark and SQL 

  • Mastery experience in machine learning statistical modelling and data thoughtfulness 

  • Excellent communication and peopleoriented skills 

Mandatory Skills :  

MLOPS,GenAI - LLMOps,Python - Data Science,Machine Learning - AIOPS,Deep Learning - AIOPS