Apply on Employer Site

Thorogood · 2 months ago

Data & AI Consultant - Boston - Graduates

Boston, Massachusetts, United States

Full-time

Hybrid

New Grad, Entry Level

0+ years exp

Thorogood is an independent, specialized data and analytics consulting firm that works with renowned companies globally. The Data & AI Consultant role involves leveraging data technologies to help clients make data-driven business decisions, while developing core technology skills and building client relationships.

ManufacturingRetailShoes

Work & Life Balance

No H1B

U.S. Citizen Only

Responsibilities

Understand our clients’ organizations and industries to identify areas of opportunity

Develop fast, effective, and high-quality technical solutions

Interact with current and prospective clients, listen to their needs, and drive business development activities and discussions

Prepare and present informational events for contacts at prospective and current clients

Help maintain and further relationships with key vendor partners

Contribute to recruiting, training, and managing our people

Qualification

Cloud BI & AnalyticsSQLPythonData scienceApplied mathematicsMachine learningData visualizationInterest in businessLearning new technologiesTime managementClient focus

Required

Strong interest in business, people, and technology

Strong academic record in a related discipline, including engineering, computer science, mathematics, statistics, business, management, or another business and quantitative-focused field

Bachelor's degree with graduation between December 2025 and June 2026

Working individually and as part of project teams

Maintaining responsibility and accountability for quality and work delivery

Client focus and relationship management

Time management and priority setting

Data awareness and business interest

Learning new technologies

Preferred

Cloud BI & Analytics technology platforms, e.g. Databricks, Snowflake, Amazon Web Services, Microsoft Azure, or Google Cloud Platform

SQL, Python, R, Scala, Spark, or any other programming or statistical programming languages and frameworks

Applied mathematics, statistics, probability, machine learning, artificial intelligence, large language models, and/or generative artificial intelligence

Data science, data engineering, data analysis, or data visualization technologies

Managed structured, semi-structured, and unstructured data storage, transformation, or analysis

Integrating data solutions into web applications