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Intern Data Scientist Machine Learning Jobs in Phoenix, AZ

The Data Scientist will serve as a key contributor to the company's data and analytics strategy ... Develop, validate, and deploy machine learning and statistical models to support manufacturing and ...

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Databricks certifications (e.g., Machine Learning Associate/Professional) * Knowledge of model ...

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Databricks certifications (e.g., Machine Learning Associate/Professional) * Knowledge of model ...

The Data Scientist will serve as a key contributor to the company's data and analytics strategy ... Develop, validate, and deploy machine learning and statistical models to support manufacturing and ...

The Data Scientist will serve as a key contributor to the company's data and analytics strategy ... Develop, validate, and deploy machine learning and statistical models to support manufacturing and ...

Data Scientist

Phoenix, AZ · On-site

$161K - $228K/yr

... scientist to support Thermal Compression Bonding (TCB) process control, manufacturing data ... Develop and validate data analytics and machine learning models to support: process monitoring ...

The Data Scientist supports a 24x7 Security Operations Center (SOC) by designing, developing, and ... Design, develop, and deploy machine learning models and advanced analytics to improve SOC alert ...

The Data Scientist supports a 24x7 Security Operations Center (SOC) by designing, developing, and ... Design, develop, and deploy machine learning models and advanced analytics to improve SOC alert ...

The Data Scientist supports a 24x7 Security Operations Center (SOC) by designing, developing, and ... Design, develop, and deploy machine learning models and advanced analytics to improve SOC alert ...

... Data Scientist AI capabilities. The ideal candidate combines technical depth, business acumen ... Develop supervised and unsupervised machine learning solutions, including classification ...

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92K - $125K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI ... data. What You'll Do Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see * US:

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92K - $125K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI ... data. What You'll Do Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see * US:

Showing results 41-60

Intern Data Scientist Machine Learning information

See Phoenix, AZ salary details

$25.3K

$42.3K

$87.4K

How much do intern data scientist machine learning jobs pay per year?

As of Aug 18, 2026, the average yearly pay for intern data scientist machine learning in Phoenix, AZ is $42,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 per year, depending on experience, location, and employer.

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 Phoenix, AZ?

The most popular types of Data Scientist Machine Learning jobs in Phoenix, AZ are:

What are popular job titles related to Intern Data Scientist Machine Learning jobs in Phoenix, AZ?

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

What job categories do people searching Intern Data Scientist Machine Learning jobs in Phoenix, AZ look for?

The top searched job categories for Intern Data Scientist Machine Learning jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Intern Data Scientist Machine Learning jobs?

Cities near Phoenix, AZ with the most Intern Data Scientist Machine Learning job openings:

Data Scientist

QuantumClean

Phoenix, AZ • On-site

Full-time

Re-posted 11 days ago


Job description

Join UCT and be part of the fastest-growing sector in the world! We indirectly touch every semiconductor chip that goes into every smartphone, smart car and device that uses artificial intelligence.This is a critical time for the semiconductor industry and for UCT - as technology evolves, we evolve with it. UCT is a diverse workplace where every talented employee is committed to continuous innovation, challenging the status quo and exceeding customer expectations. If you are a person with a relentless drive to succeed, a strong focus on quality with a passion for success – join us today! 

UCT is looking for a talented Data Scientist to join us in Chandler, AZ!

Job Summary:

  • The Data Scientist will serve as a key contributor to the company’s data and analytics strategy, partnering with manufacturing, supply chain, quality, and IT stakeholders to deliver advanced analytics, generative AI, and machine learning solutions. This role focuses on applying statistical modeling, classifier models, and predictive analytics to improve supply chain efficiency, back office, and operational performance.
  • The role leverages enterprise analytics platforms including Databricks and Microsoft Copilot Studio to enable AI-assisted insights and intelligent automation for manufacturing and operations users.

Key Responsibilities:

  • Develop, validate, and deploy machine learning and statistical models to support manufacturing and supply chain use cases such as supplier lead time prediction, inventory segmentation and safety stock optimization, demand forecasting, and predictive cash flow modeling.
  • Design and implement classifier models to identify & predict patterns in product, customer, and supplier taxonomies.
  • ML/Ops: support the full lifecycle of AI Model development & support. Evaluate and monitor model performance, accuracy, and scalability in production environments.
  • Utilize AI to augment IT operations; advocate for augmentation of IT processes using AI including Generative AI for software development (Github Copilot or similar), as well as Agent development in Copilot studio for knowledge management and automation of IT operational workflows.

 Qualifications

  • Education –
    • Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field. Master’s degree is a plus.
  • Experience
    • 3- 5 years of experience in data science or advanced analytics, preferably in a high-tech manufacturing environment. Semiconductor equipment manufacturing experience is a definitive advantage.

Technical Skills:

  • Strong proficiency in Python, Scikit-Learn, Optuna
  • Hands-on experience with Databricks, ML/OPS in Databricks, Unity Catalog
  • Experience developing classifier models (Random Forest, KNN, Decision Trees)
  • Strong SQL skills.
  • Experience with Microsoft Copilot Studio development & agent governance
  • Familiarity with Power BI is a plus.

Soft Skills:

  • Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
  • Strong problem-solving abilities, with a focus on delivering practical, scalable solutions.
  • Ability to manage multiple projects and priorities, working effectively in a fast-paced, dynamic environment.

Benefits:

  • Competitive salary and performance-based bonuses.
  • Professional development opportunities.

Work Environment:

  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
  • Works in a manufacturing environment.

Physical Demands:

  • Ability to kneel, reach, walk, push, pull and grasp.
  • Ability to lift up to 50 lbs. 
  • Ability to move arms, hands, and fingers
  • Ability to sit for sustained periods.
  • Required to wear personal protective equipment.
  • Prolonged sitting with some standing and bending intermittently during work hours.
  • Subject to interruptions

Environmental Exposure:

  • Required to wear personal protective equipment where applicable.
  • Subject to frequent interruptions.
  • The ability to talk on the phone and use a computer for extended periods may be required.
  • May involve exposure to moderate noise levels from printers, faxes, computers, etc.

Overnight Travel:

  • Work may require out-of-town travel depending upon assignment (training and meeting).

Ultra Clean Technology is proud to be an equal-opportunity employer. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under laws and regulations.