Top Internships

Support consulting engagements focused on AI transformation and digital strategy. Responsibilities include leading workstreams, researching markets and technologies, structuring ambiguous business problems, developing operating models and implementation roadmaps, translating technical concepts for executives, collaborating with data and technology teams, facilitating client workshops, presenting recommendations, mentoring junior staff, and strengthening client relationships.

Develop client solutions through problem-solving, market and desk research, quantitative analysis, and insight synthesis. Create analyses using Excel, Access, Confirmit, and proprietary software; communicate findings through presentations; support client relationships and project planning; track risks, issues, deadlines, and deliverables; and mentor Associates. The role requires collaboration, strong communication, attention to detail, initiative, and a client-first mindset.

The Business Development Representative will generate leads, engage clients, qualify opportunities, and collaborate with sales and marketing teams in the pharmaceutical sector.

Designs scalable end-to-end architectures, cloud data platforms, integration solutions, and technical standards for life sciences clients. Works across R&D, commercial, clinical, and supply-chain domains; prototypes in Python and guides engineering delivery through production. Mentors engineers, drives quality across projects, and communicates technical decisions to engineering teams and senior client stakeholders. Requires hands-on cloud, software engineering, data-management, and solution-design expertise, with client-facing travel as needed.

Designs and builds production-grade AI applications natively on Snowflake using Cortex Analyst, Cortex Search, Snowflake Agents, semantic models, Python, and SQL. Develops secure, performant natural-language querying, retrieval, text-to-SQL, and agentic workflows over governed data. Owns delivery of a technical workstream, collaborates with data scientists, engineers, clients, and stakeholders, and supports enterprise GenAI and analytics solutions. Snowflake implementation experience is mandatory; regulated-industry experience is advantageous.

Develop advanced statistical models and custom analyses to address client business challenges. Use R, Tableau, SAS, Visual Basic, Excel, and other analytic tools to guide decisions, create deliverables, and implement solutions. Communicate findings through presentations, manage client relationships, provide project updates, and mentor Associates while contributing to consulting engagements.

Lead cloud technology consulting projects that solve complex business problems, ensuring scalable, resilient, cost-effective delivery. Provide technical expertise, manage project execution, develop business cases, mentor team members, collaborate with global teams, and support innovation and thought leadership. The role requires strong communication, project management, cloud platform expertise, enterprise data management, analytics, automation, application development, and agile delivery experience.

Support client-facing teams in analyzing business problems, translating requirements into technical designs, and implementing technology solutions. Responsibilities include developing technical features with SQL and Python, applying agile and testing methodologies, interpreting business requirements, supporting project implementation plans, and collaborating with internal and client teams. The role requires strong analytical, communication, and problem-solving skills, with exposure to cloud platforms and big data concepts.

Supports consulting engagements through market and desk research, quantitative analysis, problem solving, client presentations, relationship management, and project planning. The intern develops recommendations for client business challenges, communicates insights, tracks risks and deadlines, and supports team members. The role requires strong analytical, communication, organizational, leadership, and collaboration skills while completing doctoral studies.

Collaborate with clients and internal teams to design and implement technology solutions. Translate business problems into technical designs, lead project modules and workstreams, support project delivery, manage and mentor teams, plan tasks, and guide deliverables including business cases, requirements, prototypes, architecture, testing, deployment, and operations strategies.