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Intern Data Scientist Machine Learning Jobs in Cleveland, OH

Penske

Staff Data Scientist

Beachwood, OH · On-site +1

... machine learning, or generative AI can improve productivity, reduce cost, or unlock new ... Lead Data Science Projects * Translate complex business requirements into robust, scalable ...

Penske

Staff Data Scientist

Beachwood, OH · On-site +1

... machine learning, or generative AI can improve productivity, reduce cost, or unlock new ... Lead Data Science Projects * Translate complex business requirements into robust, scalable ...

Penske

Staff Data Scientist

Beachwood, OH · On-site

The Staff Data Scientist will typically work on 3-5 large projects concurrently that have ... Advanced experience developing and deploying machine learning models using Python and modern ML ...

Munich Re

AI Data Scientist

Cleveland, OH · On-site +1

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... We are looking for a data scientist with proven expertise in executing AI/ML strategy, developing ...

Cavaliers Holdings LLC

Data Scientist

Cleveland, OH · On-site

$70K/yr

The Business Intelligence team is seeking a highly motivated data scientist to assist with ... Support the execution and interpretation of machine learning models. * Identify areas of ...

AEG

Data Scientist

Cleveland, OH · On-site

The Business Intelligence team is seeking a highly motivated data scientist to assist with ... Support the execution and interpretation of machine learning models. * Identify areas of ...

Varsity Tutors

Machine Learning Tutor

Akron, OH · Remote

$40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Cleveland, OH · Remote

$40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Intern Data Scientist Machine Learning information

See Cleveland, OH salary details

$24.7K

$41.3K

$85.3K

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

As of May 28, 2026, the average yearly pay for intern data scientist machine learning in Cleveland, OH is $41,299.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,500.00 and $44,600.00 per year, depending on experience, location, and employer.

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 types of projects and responsibilities can an Intern Data Scientist specializing in 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 does an Intern Data Scientist in 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 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 Cleveland, OH? The most popular types of Data Scientist Machine Learning jobs in Cleveland, OH are:
What are popular job titles related to Intern Data Scientist Machine Learning jobs in Cleveland, OH? For Intern Data Scientist Machine Learning jobs in Cleveland, OH, the most frequently searched job titles are:
What job categories do people searching Intern Data Scientist Machine Learning jobs in Cleveland, OH look for? The top searched job categories for Intern Data Scientist Machine Learning jobs in Cleveland, OH are:
Intern Data Scientist Machine Learning jobs near you
Data Scientist

Data Scientist

Sequoia Financial Group Llc

Cleveland, OH • On-site

Full-time

Posted 20 days ago

Job description

Sequoia Financial Group is a growing Registered Investment Advisor (RIA), headquartered in Northeast Ohio, offering financial planning and wealth management services. At Sequoia, we exist with a singular purpose: to enrich lives. Our values define how we behave and guide us through the pursuit of our purpose to enrich lives. At Sequoia, our core values are:
    • Integrity. We act in the best interests of others by providing an honest, consistent experience for our clients and team.
    • Passion. We pursue our full potential, seeking to continually enhance and evolve our ability to serve our clients and team.
    • Teamwork. We subordinate our egos to work together for the benefit of our clients.
Our promise to team members is that you will grow with us. From experienced advisors to new college grads to transitioning principals, every team member will find Sequoia a place to refine their professional mission, move into new opportunities, go deeper, and lead further. We are built to help you build a career here as a long-term contributor in our work to enrich lives for generations.Summary of the position:

As part of our expanding Data & AI Office, we seek a highly motivated and hands-on Data Scientist to build intelligent models that drive personalization, operational efficiency, and strategic decision-making. This role is ideal for someone who thrives in experimentation, iterative development, and translating business needs into scalable data products.

The Data Scientist will develop product-ready models that support Sequoia’s strategic initiatives in client experience, financial planning, operations, and marketing. This individual will work closely with business stakeholders to understand requirements, translate them into data science problems, and deliver actionable insights through robust modeling and experimentation.

This hands-on role requires technical depth in Python programming, data science workflows, and a strong understanding of mapping business requirements to data models. The ideal candidate will be highly innovative, comfortable with ambiguity, and eager to learn through experimentation and iteration.

This role reports directly to the Vice President of Data and Integrations and collaborates closely with the Data Architect, Client Experience, Marketing, and Technology teams.

Responsibilities
  • Develop and deploy predictive and descriptive models using Python and modern data science libraries
  • Translate business requirements into data science problems and design appropriate modeling strategies
  • Build product-ready models that can be integrated into client-facing and internal applications
  • Conduct exploratory data analysis, feature engineering, and model validation
  • Collaborate with stakeholders across departments to understand use cases and deliver insights
  • Embrace iterative development, rapid prototyping, and continuous learning from experimentation
  • Utilize coding accelerators and low-code tools where appropriate to speed up development
  • Document modeling decisions, assumptions, and performance metrics for transparency and reproducibility
  • Work with data engineers and architects to ensure models are scalable and maintainable in production
  • Stay current with emerging techniques in machine learning, generative AI, and financial modeling
Required Skills/Experience
  • Master’s Degree in Statistics
  • 1–2 years of experience in data science or machine learning roles
  • Proficiency in Python and relevant libraries (e.g., pandas, scikit-learn, NumPy, matplotlib, seaborn)
  • Strong understanding of statistical modeling, machine learning, and data preprocessing
  • Demonstrated ability to map business requirements to data science solutions
  • Experience with iterative development and rapid experimentation
  • Familiarity with coding accelerators or low-code platforms (e.g., Azure ML Studio, H2O.ai)
  • Excellent communication skills and ability to present findings to non-technical stakeholders
  • Strong documentation and organizational skills
  • Experience in financial services, banking, or insurance sectors preferred
Preferred Skills/Experience
  • Exposure to cloud-based data science environments (e.g., Azure ML, Databricks)
  • Familiarity with tools such as Jupyter Notebooks, Git, and MLflow
  • Experience working with Salesforce, Tamarac, eMoney, Fidelity, Schwab, and Box is a plus
Competencies
  • Highly innovative and willing to challenge conventional approaches
  • Comfortable learning from failed experiments and pivoting quickly
  • Ability to work independently and collaboratively in hybrid work settings

If you are currently on a STEM OPT Visa that will eventually require sponsorship for the H1B Visa, unfortunately, we are not able to sponsor.