Senior Manager, Data Science

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You will be part of a team building Bain's integrated suite of agentic decisioning tools that gives large organizations always-on intelligence across their most important growth decisions. The role sits at an intersection few organizations can offer: the analytical depth and client access of a top-tier consultancy, the technical ambition of a product company, and engineering work at the frontier of applied AI.

You will work inside Bain’s standing product team, building software that helps the world’s largest companies answer the questions that drive their business: where to invest, where to focus, and how to win. The impact of what you build is direct and immediate, and the platform compounds in value with every release.

The platform has two layers working together: an agentic core and a set of decision modules, each solving a distinct commercial problem. The build lifecycle is connected to the real world: as case teams work alongside clients across industries and geographies, that feedback flows straight back to engineering and into the product. Every client engagement makes the platform smarter, broader, and more resilient.

This is a startup inside an established company. You get genuine early-stage ownership and real influence over architecture and product direction, backed by Bain’s global scale, client relationships, and leadership commitment; the pace of a startup with the runway of a global firm.

We are looking for data scientists who see how to make a product module smarter and bring that instinct to every sprint without being asked, and who are comfortable with problems that do not have a known answer. The work involves Bayesian statistical modeling, experiment design, and data problems with no off-the-shelf answer. Experience with agentic systems matters: understanding how model outputs feed into agentic workflows and evaluation harnesses, and entity resolution across messy enterprise data.

This is applied AI in production, at scale, with real users depending on what you build. The field is moving quickly and the team is built to move with it, so the willingness to keep learning counts for as much as what you already know.

The Data Scientist owns the statistical and analytical core of a Growth AI Performance System product module, designing, building, and validating the models that power client-facing outputs across marketing ROI, brand strategy, or pricing and commercial analytics. You will work within a blended product and case team, sitting under the Tech Lead and working alongside the Full-stack Engineer to translate model outputs into scalable, repeatable product features that consulting teams and their clients depend on in live engagements.

You will work across the platform and product modules focused on marketing ROI, brand or pricing strategy, translating the commercial and analytical questions that clients are trying to answer into models that are methodologically sound, production-ready, and interpretable enough for senior client stakeholders to understand,…