Top Tech Jobs & Startup Jobs in San Francisco, CA

Develop statistical models and custom analyses using R, Tableau, SAS, Visual Basic, and Excel to address client business challenges. Interpret data, communicate recommendations, create deliverables, implement solutions, manage project updates, build client relationships, and mentor Associates. The internship is intended for doctoral students in engineering, mathematics, or another quantitative discipline entering their second-to-last year.

Support consulting engagements through market and desk research, quantitative analysis, problem solving, and client presentations. Develop insights using Excel, Access, Confirmit, and proprietary software; contribute to project planning, status updates, risk mitigation, and deadline management. Build client relationships, communicate recommendations, and mentor Associates while strengthening consulting and analytical capabilities.

Leads strategy consulting projects for research and development clients by defining scope, analyzing issues, testing hypotheses, synthesizing findings, developing recommendations, and communicating results. Coordinates project execution, supports business development, contributes thought leadership, and mentors junior team members. The role requires strong analytical, strategic, communication, client service, and team leadership skills, with consulting experience and relevant graduate or professional qualifications.

Supports consulting engagements through market and desk research, quantitative analysis, client presentations, relationship management, project planning, risk mitigation, and status reporting. Uses Excel, Access, Confirmit, and proprietary software to develop insights and recommendations. Collaborates with project teams, contributes to client decision-making, helps meet project goals and deadlines, and mentors Associates.

Strategy Insights and Planning Interns support consulting teams by researching markets, analyzing data, developing solutions to client business problems, synthesizing insights, communicating findings, and helping implement recommendations. They collaborate with clients and project teams while managing assigned deliverables. Candidates must be university students entering the second-to-last year of a bachelor’s or master’s degree, with strong quantitative abilities, communication skills, teamwork, initiative, and attention to detail.

Supports consulting engagements by researching markets, analyzing data, developing solutions to client business problems, and communicating insights and recommendations. The role uses Excel, Access, Confirmit, and proprietary software to create custom analyses, collaborates with client and internal teams, and owns assigned project deliverables. A bachelor's or master's degree with quantitative coursework and strong communication, teamwork, organization, and problem-solving skills is required.

Interns develop advanced algorithms and apply statistical, data mining, machine learning, and AI techniques to large structured and unstructured datasets. They identify trends, evaluate emerging data technologies, collaborate with clients and stakeholders, and communicate analytical findings. The role requires strong quantitative skills, research orientation, critical thinking, and proficiency with Python, SQL, Pandas, PySpark, and modern AI and deep learning methods.

Decision Analytics Interns develop statistical models, analyze data, generate client insights, communicate findings, and collaborate on project teams to implement solutions. They use tools such as R, Tableau, SAS, VBA, and Excel to address business problems for consulting clients. Candidates must be pursuing a bachelor’s or master’s degree, demonstrate quantitative analytical skills, and meet academic and communication requirements.

Lead and support Salesforce CRM transformation projects for healthcare, pharmaceutical, and life sciences clients. Manage projects across strategy, requirements gathering, solution design, customization, implementation, and delivery. Collaborate with clients and technical teams, provide Salesforce platform guidance, communicate technical solutions to nontechnical stakeholders, and manage timelines, budgets, and deliverables.

Design, build, and deploy Generative AI and classical ML solutions including fine-tuning LLMs, RAG pipelines, multi-agent systems, and production monitoring. Lead research, architecture, and end-to-end delivery while mentoring junior team members and collaborating with cross-functional teams.