Audit & Assurance Intern Data Science Summer 2026

Deloitte • Boston, MA

4d • $37 - $76

About The Position

Do you have a passion for artificial intelligence, machine learning, and data analysis? Do you yearn to have the impact of your work recognized and valued by more than just your development team? If yes, we have just the role for you. In Deloitte's Audit and Assurance practice, we make businesses and markets better. An audit is more than an obligation; it is an opportunity to see further and deeper into businesses. In our role as independent auditors, we enhance trust in the companies we audit, helping a multitrillion dollar capital markets system function with greater confidence. As we aspire to the very highest standards of audit quality, we deliver deeper insights that can help clients become more effective organizations. You will be joining our collaborative Data Science team which leverages the most advanced technologies in machine learning and artificial intelligence to achieve the Deloitte Audit and Assurance vision of an AI-enabled audit. Your work will span from research to deployment of production-ready AI solutions, and continued development. Some of our current projects focus on generative AI, prompt engineering, large language models, agentic systems, anomaly detection, clustering, and knowledge graphs. Work You'll Do As a Data Science Intern, you will be supporting the Data Science group and actively participating in the entire lifecycle of a data science project, including exploratory data analysis, feature engineering, model creation, and model optimization to boost performance and accuracy. It is important that the person in this role is proactive and independent. You should be a problem solver with an open mind and an eagerness to pick up new skills.

Requirements

• Proficiency in verbal and written communication skills essential to interacting with clients and teams
• Ability to work independently and manage multiple projects/assignments/ responsibilities in a fast-paced environment
• Problem solving and critical thinking skills in support of both innovative and operational enhancement opportunities
• Ability to collaborate and communicate across Deloitte team members and client stakeholders
• Ability to identify, learn, understand, and implement new concepts, frameworks and emerging technologies
• Ability to manage own personal and professional development; seek opportunities for professional growth and expansion of consulting skills and experience
• A strong understanding of Windows Based systems and proficiency with Microsoft Excel, Word, and PowerPoint
• Bachelor's or Master's degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, or statistics) or related field with relevant coursework
• Experience using Python and relevant libraries (NumPy, Pandas, Scikit-learn, etc.)
• Coursework related to machine learning, deep learning, and programming
• At least an introductory understanding of large language models and prompt engineering
• Hands-on application experience using common machine learning frameworks such as TensorFlow, PyTorch, OpenAI, and LangChain
• Demonstrated ability to write high-quality code and ability to develop machine learning models
• Limited immigration sponsorship may be available
• Strong academic record, cumulative GPA of 3.0 or above
• You should reside within a commutable distance of your assigned office with the ability to commute daily, if required
• You should expect to co-locate with team members or other colleagues in a Deloitte office, at a client site and/or virtually, based on specific team and business expectations
• Ability to travel up to 10%, on average, based on the type of work you perform and the clients served
• Candidates must be at least 18 years of age at the time of employment

Nice To Haves

• Cumulative GPA of 3.2 or above
• Relevant work experience or work experience in a professional environment (e.g. internships, summer positions, school jobs)
• Demonstrated recent leadership, such as in a campus club, society, sports teams or other activity
• Relevant work experience (internships, school jobs, etc.)
• Familiarity with the Microsoft Azure cloud-based ecosystem, including Azure DevOps
• Familiarity with machine learning model development life cycles
• Experience with version control practices and tools (Git, etc.)
• Public AI-related projects you have developed available on GitHub

Responsibilities

• Develop , test, and deploy machine learning/AI models
• Collaborate daily with Data Science Managers and Senior Data Scientists to receive guidance and feedback on your work to develop your skills and ensure alignment with workstream objectives
• Be a contributor to the planning and direction of a project and effectively prioritize your tasks and objectives
• Contribute to internal discussions on emerging machine learning methodologies

Benefits

• At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits.
• Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

What This Job Offers

• Career Level: Intern
• Number of Employees: 5,001-10,000 employees