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Intern Ai Math Analyst Jobs in New York (NOW HIRING)

SAP

SAP iXp Intern - AI Solution Advisory

Manhattan, NY · On-site

$16.50 - $22/hr

SAP iXp Intern - AI Solution Advisory Location: Newtown Square, PA Duration: 6 Months (with ... analytics, intelligent technologies, and experience management. As a cloud company with two hundred ...

SAP

SAP iXp Intern - AI Solution Advisory

Manhattan, NY · On-site

$16.50 - $22/hr

SAP iXp Intern - AI Solution Advisory Location: Hudson Yards, NY Duration: 6 Months (with potential ... analytics, intelligent technologies, and experience management. As a cloud company with two hundred ...

SAP

SAP iXp Intern - AI Solution Advisory

Manhattan, NY

$16.50 - $22/hr

SAP iXp Intern - AI Solution Advisory Location: Newtown Square, PA Duration: 6 Months (with ... analytics, intelligent technologies, and experience management. As a cloud company with two hundred ...

New

SAP

SAP iXp Intern - AI Solution Advisory

New York, NY

$16.50 - $22/hr

SAP iXp Intern - AI Solution Advisory Location: Hudson Yards, NY Duration: 6 Months (with potential ... analytics, intelligent technologies, and experience management. As a cloud company with two hundred ...

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All JobsIntern Ai Math Analyst JobsIntern Ai Math Analyst Jobs in New York

Intern Ai Math Analyst information

What is the difference between Intern Ai Math Analyst vs Intern Data Scientist?

AspectIntern Ai Math AnalystIntern Data Scientist
Required CredentialsMath, Computer Science, or related field; some programming knowledgeStatistics, Computer Science, or related field; programming skills often required
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, research institutions
Employer & Industry UsageAI development, machine learning projectsData analysis, predictive modeling, data-driven decision making

Intern Ai Math Analysts focus on applying mathematical models to AI projects, often involving machine learning algorithms. Intern Data Scientists analyze large datasets to extract insights and build predictive models. While both roles require strong math and programming skills, Intern Ai Math Analysts are more specialized in AI and algorithms, whereas Intern Data Scientists emphasize data analysis and statistical methods.

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Product Management Intern - AI Products

Xpansiv

New York, NY • On-site

Internship

Posted 3 days ago

New

Job description

Xpansiv is the leading infrastructure provider for the energy transition markets.
Our comprehensive platform includes registries, online marketplaces, market execution services, wholesale power solutions, and market data for energy and environmental commodity markets. Trusted worldwide, Xpansiv enables stakeholders to deliver transparent, credible, and auditable environmental claims to address the growing global demand for assurance and accountability on climate action and sustainability performance.
From our founding in 2009 through more than 10 acquisitions, Xpansiv has become a global leader in environmental commodity markets. We are backed by Blackstone and other leading investors.
Position Summary
We are seeking a curious, analytical, and execution-oriented Product Management Intern to support the development and adoption of AI-enabled products and workflow automation initiatives across the organization. Working closely with the SVP, Strategic Projects and cross-functional partners, the intern will help identify high-value use cases, translate business needs into clear product requirements, support rapid prototyping, and measure the impact of AI-powered solutions. This internship is ideal for a student who is interested in the intersection of product management, artificial intelligence, business operations, and user experience.
Key Responsibilities
  • Partner with Product, Operations, Technology, and business teams to identify and evaluate opportunities where AI can simplify complex workflows, improve user experiences, or increase operational efficiency.

  • Gather, analyze, and document business and user requirements for AI-enabled products, workflow automations, and internal tools.

  • Translate business needs into product requirements documents, user stories, acceptance criteria, process maps, and prioritized backlogs.

  • Support the discovery, design, prototyping, testing, and rollout of AI product concepts, including proof-of-concept solutions and dashboards.

  • Conduct user research, stakeholder interviews, and workflow analysis to understand pain points, validate assumptions, and define measurable outcomes.

  • Contribute to AI initiatives across multiple products and business lines

  • Develop frameworks and scorecards for measuring AI product success, including adoption, accuracy, time savings, quality, user satisfaction, and business impact.

  • Assist with defining MVP scope, prioritizing features, evaluating trade-offs, and maintaining clear product roadmaps and delivery plans.

  • Coordinate with cross-functional stakeholders to track milestones, dependencies, risks, decisions, and action items.

  • Support product testing by documenting test scenarios, gathering feedback, identifying issues, and validating that solutions meet user and business requirements.

  • Research emerging AI capabilities, product management practices, and relevant market trends, and summarize practical implications for the organization.

  • Prepare clear presentations, product updates, recommendations, and demonstrations for business and senior leadership audiences.

  • Maintain product documentation, decision logs, implementation materials, and user guidance to support successful adoption.

  • Apply responsible AI principles by considering data quality, privacy, security, transparency, human oversight, and potential business risks throughout the product lifecycle.

Qualifications
  • Currently enrolled in an undergraduate or graduate program in Product Management, Business, Information Systems, Computer Science, Engineering, Data Science, Human-Computer Interaction, or a related field.

  • Demonstrated interest in AI-enabled products, automation, digital platforms, or technology-driven business transformation.

  • Foundational understanding of product management practices, including customer discovery, requirements gathering, user stories, prioritization, MVP definition, and product metrics.

  • Strong analytical and structured problem-solving skills, with the ability to break down ambiguous business challenges.

  • Excellent written and verbal communication skills, including the ability to explain technical or complex concepts clearly to non-technical audiences.

  • Strong organizational skills and attention to detail, with the ability to manage multiple workstreams and follow through on commitments.

  • Comfort working independently and collaboratively in a fast-paced, cross-functional, and geographically distributed environment.

  • Proficiency with Microsoft 365 productivity tools or comparable collaboration, presentation, and data-analysis platforms.

Preferred Qualifications
  • Previous internship, academic, or project experience in product management, software development, business analysis, consulting, operations, or UX research.

  • Experience creating product requirements, business cases, user journeys, wireframes, prototypes, dashboards, or process documentation.

  • Familiarity with generative AI, large language models, prompt design, AI agents, retrieval-based applications, or machine-learning product concepts.

  • Experience with low-code or no-code automation and prototyping tools.

  • Exposure to agile delivery methods, product analytics, experimentation, A/B testing, or data visualization.

  • Interest in regulated, data-intensive, financial, sustainability, energy, or environmental markets.

What Success Looks Like
  • High-value AI and automation opportunities are clearly defined, prioritized, and connected to measurable business outcomes.

  • Product requirements and user stories are clear, actionable, and grounded in stakeholder and user needs.

  • Prototypes and product concepts are tested efficiently, with feedback incorporated into practical recommendations.

  • Cross-functional teams have clear visibility into scope, progress, risks, decisions, and next steps.

  • AI product initiatives are supported by meaningful success metrics and a thoughtful approach to responsible use.

Compensation:
The anticipated hourly pay range for this internship is $20-$25 per hour for undergraduate students and $30-$35 per hour for graduate-level students, based on a good-faith estimate. Actual pay within these ranges may vary based on academic level, skills, and relevant experience, in accordance with applicable pay transparency laws.
Here at Xpansiv, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in building trust and transparency in global efforts toward net-zero future. Xpansiv is committed to equal employment opportunity regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law.
Note to Recruiters: Xpansiv does not accept unsolicited resumes or referrals from placement agencies, staffing vendors or other external parties seeking recruiting fees without a signed formal agreement.

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