Top Tech Jobs & Startup Jobs in Boston, MA

Support AI capability and adoption through structured prompt experimentation, custom GPT testing, workflow prototyping, documentation of exemplars, and coaching colleagues to scale responsible AI use across the firm.

Summer interns build quantitative and valuation models, apply econometric analysis, analyze industry and financial data, write code, prepare exhibits and presentations, participate in client meetings, and draft memos and expert reports. The program runs from early June through mid-August and requires at least 40 hours per week. Candidates must graduate by Summer 2028 and demonstrate strong analytical, communication, teamwork, and detail-oriented skills.

Conduct quantitative and econometric analyses of economic and financial data; build models, perform valuation analyses, research industry trends, prepare exhibits and presentations, write data-analysis code, participate in client meetings, and draft memos and expert reports.

Leads commercial effectiveness consulting engagements focused on pricing, go-to-market strategy, sales force effectiveness, marketing effectiveness, and revenue growth. Responsibilities include structuring complex problems, conducting quantitative and qualitative analyses, developing client recommendations, managing workstreams and teams, building client relationships, supporting business development, and contributing to thought leadership. Engagement Managers additionally lead projects, client relationships, commercial processes, and team development.

Lead life insurance product development and pricing engagements, grow client relationships, originate business, review financial projections, provide thought leadership, support M&A and reinsurance transactions, partner with strategy teams, and manage and develop project staff.

Lead and manage client engagements, coordinate cross-functional teams, deliver high-quality analyses, mentor junior consultants, support business development, and drive firm-building activities.

Lead development, validation, and productionization of P&C actuarial models and workflows. Translate actuarial requirements into reproducible, version-controlled code (Python/R/SQL), leverage cloud and AI tools, validate data pipelines, produce client-ready reporting and dashboards, and liaise between actuarial SMEs and engineering teams.

Lead and manage supply chain operations engagements: develop hypotheses, run analyses and modeling, synthesize insights into presentations, manage small teams (2–4), support partners on delivery, and help develop proposals and client relationships. Drive operational improvements across sourcing, planning, manufacturing, logistics, and IT-enabled supply chain solutions.

Lead and manage AI-focused consulting engagements: define hypotheses, oversee analytics and data collection, translate client needs into technical requirements, support ML/generative AI solution delivery from proof-of-concept to production, build executive relationships, and coach consultants to deliver measurable business impact.

Lead client engagements for telco and AI initiatives: manage project delivery, coach teams, drive commercial relationships, identify business development opportunities, and apply quantitative analysis (SQL/Python) and AI capabilities to deliver strategic recommendations.