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Internship Azure Data Scientist Jobs in Springfield, MA

MassMutual

AI Engineer

Springfield, MA · Hybrid

$141K - $185K/yr

Experience with agentic AI frameworks and tooling, such as Bedrock AgentCore, AWS Strands, Azure, and MCP/A2A protocols. * Breadth across AI and data science methods, including classical ML, causal ...

CVS Health

Actuarial Corporate Internship

Hartford, CT · Hybrid

$26.50 - $40/hr

Our Corporate Interns can apply for future full-time roles during the program and have an increased ... Actuarial Science, Analytics, Data Science, Economics, Engineering, Mathematics, Risk Management ...

Cvshealth

Actuarial Corporate Internship

Hartford, CT · Hybrid

$26.50 - $40/hr

Our Corporate Interns can apply for future full-time roles during the program and have an increased ... Actuarial Science, Analytics, Data Science, Economics, Engineering, Mathematics, Risk Management ...

NAVA Software Solutions

Senior Data Engineer

Bloomfield, CT · On-site

$105K - $143K/yr

AWS, Azure, google cloud) * 6+ years of working in an object-oriented language: Java or Scala and ... Nice to have data science and Machine learning certification from a reputed institution

Pwc

US Tech - AI Engineering Manager

Hartford, CT · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... with Azure, DevOps, and enterprise integration patterns - Bringing systems thinking to design end ...

1 point system

AI/ML Engineer

Hartford, CT · Remote

You will work on a product team with engineers, data scientists, and product managers, contributing ... Experience with public cloud platforms, ideally Azure. * Proficiency with containerization and ...

New

Deloitte

Lead Forward Deployed Engineer, Palantir

Hartford, CT · On-site

$103K - $136K/yr

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering * 7+ years of ... Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services ...

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Internship Azure Data Scientist information

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$164.4K

$242.6K

How much do internship azure data scientist jobs pay per year?

As of Aug 22, 2026, the average yearly pay for internship azure data scientist in Springfield, MA is $164,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,000.00 and $169,400.00 per year, depending on experience, location, and employer.

What is an internship Azure Data Scientist?

An Internship Azure Data Scientist is an entry-level or student role that involves working with data science tools and techniques on Microsoft Azure's cloud platform. Interns in this position typically assist with data analysis, machine learning model development, and data pipeline creation using Azure services such as Azure Machine Learning, Data Factory, and Databricks. The internship provides hands-on experience with cloud-based data science workflows and helps interns build practical skills for a career in data science. Responsibilities may include cleaning and preparing data, training models, and visualizing results to support business decisions. This role is ideal for students or recent graduates interested in cloud computing and analytics.

What types of projects and responsibilities can I expect as an internship Azure Data Scientist?

As an Azure Data Scientist intern, you'll typically work on data-driven projects such as developing machine learning models, preparing and cleaning datasets, and performing exploratory data analysis using Microsoft Azure tools. You'll likely collaborate closely with data engineers, software developers, and senior data scientists to integrate solutions into cloud environments. Interns often participate in regular team meetings, present findings, and may contribute to optimizing existing data pipelines. This hands-on experience provides a strong foundation for a future career in cloud-based data science roles.

What are the key skills and qualifications needed to thrive as an internship Azure Data Scientist, and why are they important?

To thrive as an Internship Azure Data Scientist, you need foundational knowledge in statistics, data analysis, and programming languages such as Python or R, often supported by coursework or a degree in a STEM field. Familiarity with Microsoft Azure cloud services, data modeling tools, and machine learning frameworks is typically expected, and certifications like Microsoft Certified: Azure Data Scientist Associate can be beneficial. Strong problem-solving abilities, eagerness to learn, and effective communication skills help interns collaborate and convey technical findings clearly. These skills ensure interns can contribute meaningfully to data-driven projects while adapting quickly to the evolving demands of cloud-based analytics environments.

What is the difference between Internship Azure Data Scientist vs Data Analyst Intern?

AspectInternship Azure Data ScientistData Analyst Intern
Required SkillsAzure cloud services, basic data science, programming (Python, R), machine learning fundamentalsData visualization, SQL, Excel, basic statistical analysis
Work EnvironmentTech companies, cloud-focused teams, project-basedBusiness teams, reporting, data cleaning and analysis
CertificationsAzure Fundamentals, basic data science coursesNone typically required, basic Excel/SQL knowledge

Internship Azure Data Scientist roles focus on applying machine learning and cloud-based data science techniques using Azure services, often in tech or cloud-centric environments. Data Analyst Interns primarily handle data cleaning, visualization, and reporting tasks within business contexts. While both roles require foundational data skills, Azure Data Scientist internships emphasize cloud and machine learning expertise, whereas Data Analyst Internships focus on data interpretation and presentation.

What are the most commonly searched types of Azure Data Scientist jobs in Springfield, MA?

The most popular types of Azure Data Scientist jobs in Springfield, MA are:

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For Internship Azure Data Scientist jobs in Springfield, MA, the most frequently searched job titles are:

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The top searched job categories for Internship Azure Data Scientist jobs in Springfield, MA are:

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Cities near Springfield, MA with the most Internship Azure Data Scientist job openings:

Internship Azure Data Scientist jobs near you

AI Engineer

Massachusetts Mutual Life Insurance Company (MassMutual)

Springfield, MA • On-site

Full-time

Re-posted 27 days ago

MassMutual rating

7.8

Company rating: 7.8 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

196th of 311 rated insurance

Job description

Job Description
AI Engineer | Data Science & AI Engineering
Full-Time Hybrid (3 days/per week in office)
The Opportunity
MassMutual's AI & Data Science team is seeking a skilled AI Engineer to join our high-performing, cross-functional team. In this role, you will own the design, development, and delivery of AI solutions that address complex, high-value business problems across the enterprise. You'll apply machine learning, generative and agentic AI, and LLM-based techniques to real-world challenges, working independently to scope problems, build and evaluate solutions, and bring them into production. At this level, you are expected to take full ownership of defined initiatives with minimal supervision, driving quality and performance from development through deployment.
The Team
This is a unique opportunity to work alongside experts in applied AI, statistics, and computer science. The team operates at the intersection of cutting-edge research and enterprise delivery, building AI solutions that shape the future of MassMutual and the life insurance industry at large. We partner closely with technology and business stakeholders across the organization, and we invest in growth through a culture of peer learning, candid feedback, and shared technical standards. The team is defined by a shared commitment to scientific and engineering excellence, meaningful work, and the kind of collaboration that makes challenging problems tractable.
The Impact
  • Design, build, and deliver end-to-end AI/ML solutions for defined business use cases, using LLMs, deep learning, agentic AI, and probabilistic modeling, with ownership of quality and performance from development through deployment.
  • Frame and scope AI problems independently, defining success metrics and evaluation criteria in collaboration with stakeholders before and during solution development.
  • Design and conduct rigorous evaluations of AI system performance, including experimentation, benchmarking across models, and quantitative analysis, to validate approaches and support sound technical decisions.
  • Build rapid prototypes to test AI approaches and advance validated solutions into production-grade applications (e.g., intelligent interfaces, dashboards, automated pipelines).
  • Apply best practices in AI development, responsible AI deployment, and production engineering, contributing to team-wide standards and reusable frameworks.
  • Communicate findings and recommendations clearly to technical peers and non-technical stakeholders, translating quantitative results into actionable insights.
  • Contribute to team knowledge and development, including peer feedback, documentation, and knowledge sharing with less experienced colleagues.

The Minimum Qualifications
  • 4+ years of experience in data science, machine learning, or AI engineering, with a track record of delivering AI/ML solutions independently and at scale.
  • 4+ years of experience across the following areas:
    • Machine learning, statistics, NLP, and LLMs, including generative AI, agentic architectures, prompt engineering, and evaluation of LLM performance across foundation models.
    • Building and deploying production AI systems, including model integration, API development, and cloud-based infrastructure.
    • Python programming, with the ability to write clean, well-tested, production-quality code.
  • Bachelor's degree in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or a related quantitative field.

The Ideal Qualifications
  • Experience with agentic AI frameworks and tooling, such as Bedrock AgentCore, AWS Strands, Azure, and MCP/A2A protocols.
  • Breadth across AI and data science methods, including classical ML, causal inference, optimization, and Bayesian approaches, with comfort working across techniques as problems demand.
  • Proficiency in SQL and database design; familiarity with cloud-native data platforms, vector databases, and semantic search.
  • Master's degree or equivalent depth demonstrated through research, applied projects, or prior work. Candidates with a Master's may be considered with fewer years of professional experience.
  • Applied research credentials, such as published work, significant open-source contributions, or a demonstrated record of scientific rigor in industry.
  • Clear and effective communication skills, with the ability to explain technical concepts and present findings to both technical and non-technical audiences.

What to Expect as Part of MassMutual and the Team
  • Regular meetings with the AI & Data Science team
  • Focused one-on-one meetings with your manager
  • Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQIA+, veteran and disability-focused Business Resource Groups
  • Access to learning content on Degreed and other informational platforms
  • Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits

#LI-SC1
Salary Range:
$141,300-$185,400
At MassMutual, we focus on ensuring fair equitable pay, by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component.
Why Join Us.
We've been around since 1851. During our history, we've learned a few things about making sure our customers are our top priority. In order to meet and exceed their expectations, we must have the best people providing the best thinking, products and services. To accomplish this, we celebrate an inclusive, vibrant and diverse culture that encourages growth, openness and opportunities for everyone. A career with MassMutual means you will be part of a strong, stable and ethical business with industry leading pay and benefits. And your voice will always be heard.
We help people secure their future and protect the ones they love. As a company owned by our policyowners, we are defined by mutuality and our vision to put customers first. It's more than our company structure - it's our way of life. We are a company of people protecting people. Our company exists because people are willing to share risk and resources, and rely on each other when it counts. At MassMutual, we Live Mutual.
MassMutual is an equal employment opportunity employer. We welcome all persons to apply.
If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.
At MassMutual, we focus on ensuring fair, equitable pay by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component. For more information about our extensive benefits offerings please check out our Total Rewards at a Glance.

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