Gateway

Build practical AI with clients.

Join a consulting team where quantitative thinking, data science, ML engineering, and business judgment come together in client-facing delivery.

What We Look For

Client-Ready Communicators

People who can explain technical tradeoffs clearly and connect analysis to business decisions.

Analytical Builders

Strong fundamentals in math, statistics, programming, data systems, or machine learning, with curiosity to keep learning.

Delivery Mindset

A bias toward useful systems, clean handoff, reliable execution, and measurable impact.

Early Career Roles

Consulting Analyst Intern

New York, Connecticut
Hybrid, Remote

Support discovery, client interviews, market research, requirements framing, and delivery planning for data and AI consulting engagements.

Data Science Consultant Intern

New York, Connecticut
Hybrid, Remote

Apply statistics, experimentation, forecasting, segmentation, and predictive modeling to client business questions.

AI & ML Engineering Consultant Intern

New York, Connecticut
Hybrid, Remote

Help prototype and productionize machine learning models, LLM workflows, APIs, and evaluation pipelines.

Data Platform Consultant Intern

New York, Connecticut
Hybrid, Remote

Work on data pipelines, warehouse/lakehouse design, data quality checks, and analytics infrastructure for client teams.

Quantitative Analytics Intern

New York, Connecticut
Hybrid, Remote

Build forecasting, optimization, simulation, risk, and decision models for data-intensive consulting projects.

AI Strategy & Operations Intern

New York, Connecticut
Hybrid, Remote

Help assess AI opportunities, document workflows, design adoption plans, and translate technical options into executive-ready recommendations.

Consulting Tracks

We hire for consulting tracks rather than narrow software-only roles. Each track combines client communication, analytical judgment, and hands-on delivery.

AI & Data Consultant

Client discovery, solution framing, analytics strategy, technical roadmaps, and executive communication.

Data Science Consultant

Forecasting, experimentation, causal inference, segmentation, predictive modeling, and decision analytics.

ML Engineering Consultant

Production ML, MLOps, LLM/RAG systems, model evaluation, APIs, and monitoring.

Data Platform Consultant

ETL/ELT, warehouses, lakehouses, semantic layers, data quality, governance, and cloud architecture.

Quantitative Analytics Consultant

Risk models, optimization, simulation, pricing, financial modeling, and statistical research.

AI Transformation Consultant

Workflow automation, AI operating models, adoption planning, governance, and human-in-the-loop process design.

Life at Gateway

Real Problems

Work on forecasting, automation, model deployment, and data platform challenges that matter to clients.

Mentorship

Learn from quant, DS, MLE, data engineering, and consulting practitioners in a collaborative environment.

Ownership

Build skills across research, implementation, communication, and delivery instead of staying in a narrow lane.

Interested in consulting at Gateway?

Tell us which consulting track fits your strengths and what kinds of data or AI problems you want to help clients solve.