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Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

Evolver

Applied Data Science Intern

Palo Alto, CA

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In ...

Cypress HCM

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Data Science Engineer Job Details * Data Science Engineer (Contract) * Location: Austin TX, 78758 ... This role is not suitable for entry-level candidates or interns. Compensation: * $65.00 to $69.72 ...

Point C

OR · On-site

The internship is set for 10-12 weeks but may be extended based on business needs. Primary ... data science across claims, plan administration, client services, and clinical/UM functions

Conversica, Inc

Data Scientist

Seattle, WA · On-site

... for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate ...

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How much do internship data science internships jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for internship data science internships in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on during a Data Science internship?

As a Data Science intern, you will typically work on real-world projects that involve tasks such as data cleaning, exploratory data analysis, building machine learning models, and generating insights from large datasets. You may also collaborate with experienced data scientists and cross-functional teams to solve business problems using data-driven approaches. These projects not only help you develop technical skills but also provide exposure to the end-to-end data science workflow and industry best practices.

What are Data Science Internships?

Data Science Internships are temporary positions designed for students or recent graduates to gain practical experience in data science. Interns typically work with real-world datasets, learn to use tools like Python, R, and SQL, and assist with tasks such as data cleaning, analysis, and building predictive models. These internships offer hands-on experience in applying theoretical knowledge to solve business problems, often under the guidance of experienced data scientists. They also provide valuable networking opportunities and can lead to full-time job offers in the field.

What is the difference between Internship Data Science Internships vs Data Analyst Internships?

AspectInternship Data Science InternshipsData Analyst Internships
Required SkillsBasic programming, statistics, data manipulationData visualization, Excel, basic SQL
Work EnvironmentCollaborative teams, research-focused projectsBusiness units, reporting and analysis tasks
Industry UsageTech, finance, healthcare, academiaRetail, marketing, finance, consulting

Internship Data Science Internships focus on developing skills in programming, machine learning, and statistical analysis, often involving coding and data modeling. Data Analyst Internships emphasize data visualization, reporting, and interpreting data to support business decisions. While both roles require analytical skills, data science internships are more technical, whereas data analyst internships are more business-oriented.

What are the key skills and qualifications needed to thrive as a Data Science Intern, and why are they important?

To thrive as a Data Science Intern, you need a strong background in statistics, programming (typically Python or R), and data analysis, often supported by ongoing or completed coursework in computer science, mathematics, or a related field. Familiarity with tools such as Jupyter Notebook, SQL, and data visualization libraries, as well as version control systems like Git, is typically expected. Curiosity, effective communication, and a collaborative mindset help interns stand out when learning from mentors and presenting findings. These skills and qualities are essential for extracting insights from data, contributing to team projects, and growing quickly in a dynamic technical environment.
What cities are hiring for Internship Data Science Internships jobs? Cities with the most Internship Data Science Internships job openings:
What are the most commonly searched types of Data Science Internships jobs? The most popular types of Data Science Internships jobs are:
What states have the most Internship Data Science Internships jobs? States with the most job openings for Internship Data Science Internships jobs include:
Internship Data Science Internships jobs near you
Corporate Vice President - Data Science Lead

Corporate Vice President - Data Science Lead

New York Life

Manhattan, NY • Hybrid

$147K - $211K/yr

Other

Life

Re-posted 21 days ago

Job description

Location Designation: Hybrid - 3 days per week 

Role Overview

As part of the Artificial Intelligence & Data (AI&D) organization, you will contribute to New York Life's AI-led transformation by developing and supporting the deployment of AI and Machine Learning solutions that enhance efficiency, enable a seamless customer experience, and improve client, agent, and employee experiences, delivering unparalleled value as the firm continues to become tech, data, and AI enabled.

This role will support the development of AI solutions spanning traditional Machine Learning, Generative AI, and Agentic AI, while also providing technical leadership through mentoring junior data scientists and interns, supporting their growth and development. You will work in close partnership with business product owners to champion new ideas that advance AI adoption, while helping measure, articulate, and communicate business value.

You will collaborate closely with business stakeholders, data scientists, engineers, and product and technology partners, contribute to hiring decisions for full-time employees, interns, and contractors, and continue to build expertise in enterprise AI practices, model lifecycle management, responsible AI principles, and New York Life's technology ecosystem.

What You'll Do:

Lead the execution of AI/ML and GenAI initiatives in partnership with data, technology, product, and business teams to deliver scalable solutions

Partner with tech and business lead to redesign and operationalize business workflows that embed the AI, GenAI and Agentic solutions.

Own business-aligned OKRs for AI initiatives, ensuring efforts are outcome-driven, tied to enterprise value creation and supported through PI planning and roadmap development.

Deliver all aspects of full Model Development Life Cycle (MDLC) from data exploration and feature engineering to model training, validation, deployment, and performance monitoring.

Develop and help operate models using cloud platforms (e.g., AWS, GCP) and modern data platforms (Snowflake, Databricks), ensuring quality, security, and scalability, partner with ML engineers for large-scale production deployment and scaling.

Implement and refine LLM/RAG approaches (vector stores, embeddings, retrieval optimization, prompt orchestration) with evaluators for reliability.

Adhere to model governance, documentation, testing, and CI/CD best practices in partnership with MLOps.

Mentor and hire junior data scientists, interns and vendor resources to deliver key business initiatives.

Assist in designing and evaluating agentic/AI-powered solutions that automate routine business tasks with human-in-the-loop checkpoints, escalation thresholds, and safety guardrails.

Work with AI Engineers to ensure AI capabilities are accessible through APIs, dashboards, and integrated workflow applications used by business teams.

Build lightweight UI prototypes (e.g., Streamlit) to validate usability and support adoption.

Stay informed on industry trends by engaging in relevant conferences and sharing key insights with internal and external audiences as appropriate.

This role involves limited travel (<10%) to events and vendor meetings.

What You'll Bring:

Advanced degree in Computer Science, Data Science, Machine Learning, AI, Engineering, Mathematics, Statistics, or a related quantitative field.

8+ years of experience applying data science and AI/ML to real-world business problems.

2+ years of experience working with business stakeholders for delivering on the key roadmap initiatives.

Ability to communicate complex ideas simply, presenting impact, trade-offs, and recommendations to non-technical partners.

Proficiency in Python and SQL; working knowledge of core software engineering concepts (version control with Git/GitHub, testing, logging).

Solid experience with cloud platforms like AWS/GCP services (e.g., SageMaker, Bedrock, Vertex AI) and modern data ecosystems (Snowflake/Databricks).

Working knowledge of LLMs, RAG architecture, and agentic frameworks, including safe automation design and evaluation practices.

Solid grounding in ML methods (supervised and unsupervised learning, gradient boosting, exposure to deep learning), feature engineering, regularization, cross-validation.

Ability to translate analytical findings into clear business insights and collaborate effectively with cross-functional partners. Translate them into an overall AI roadmap.

Experience collaborating across product, data, and engineering teams to deliver scalable, production-ready AI solutions.

Experience in Life Insurance industry or consumer finance domains is a plus.

Pay Transparency

Salary Range: $147,500-$211,000 

Overtime eligible: Exempt 

Discretionary bonus eligible: Yes 

Sales bonus eligible: No 

Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.

Company Overview 

At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact. 

Our diverse business portfolio creates opportunities to make a difference across industries and communities-inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you'll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress. 

As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what's next, and your growth powers it. 

Our Benefits

We provide a full package of benefits for employees - and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.

Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life's leadership in this space.

Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.

Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities.

Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees' needs.

Job Requisition ID: 94081

NorCal Orange logo

About NorCal Orange

Sourced by ZipRecruiter

Industry

Colleges, universities, and professional schools

Company size

11 - 50 Employees

Headquarters location

Syracuse, NY, US

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