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Data Science Lead

Alto
CompanyAlto
CategoryData & Analytics
LocationLondon
RemoteOn-site (inferred)
EmploymentFull-time
LevelLead
SalaryNot stated by the employer
Posted23 Jun 2026
Last verified30 Jul 2026
SourceEmployer career page (workable)
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Description
Alto Software Group is a B2B SaaS company that powers more than half of all UK housing transactions each year. We create software solutions that connect businesses and consumers, delivering a one-stop shop for estate agents and home builders. Our goal is to drive efficiency, speed up transactions, reduce risk, and improve the end-customer experience. While we’re not a start-up, we have a start-up mindset and want our people to operate with this mindset so that we can achieve our ambitions. The Role We are looking for a Data Science Lead to build and lead Alto’s data science capability from the ground up. We have rich data flowing through our Mission Control platform and a clear commercial ambition to turn it into predictive insight — this hire gives us the leadership and technical depth to make that happen. You’ll work at the intersection of data, product, and commercial strategy, with direct access to executive leadership and a platform that’s ready to be exploited. What You’ll Do •      Define and own Alto’s data science roadmap, prioritising use cases based on measurable ROI and commercial impact. •      Build, deploy and maintain production-grade predictive models across churn, customer health, propensity and capacity forecasting. •      Design and analyse experiments to test pricing, product and operational changes, raising the standard of statistical rigour across the business. •      Partner with Platform and Data Engineering to productionise models on Mission Control, defining data quality and feature requirements for reliable modelling. •      Develop segmentation and scoring frameworks that Customer Operations and Commercial teams can act on directly. •      Work with the Head of AI Operations to identify automation opportunities grounded in data science outputs. •      Surface insights through ThoughtSpot and AI-enabled reporting for senior stakeholders, up to executive level. •      Mentor analysts and grow data science capability across the business, building a team rather than a one-person silo. Who You Are •      A Builder: You don’t just advise on data science — you write production code, ship models, and take personal accountability for outputs that are actually used. •      Commercially Sharp: You understand SaaS metrics (MRR, churn, NRR, GRR) and have personally connected data science work to measurable business outcomes, not just model performance. •      A Technical Authority: You bring expert-level Python and SQL, a solid grounding in statistics and causal inference, and a track record of models in production — not just notebooks. •      Cross-Functionally Effective: You move comfortably between engineering, commercial, and operational stakeholders, translating between data science and business outcomes without losing either audience. •      Outcome-Focused: You prioritise ruthlessly, track ROI on your work, and resist the pull of interesting-but-unactionable projects. •      Comfortable in Ambiguity: You can define the problem as well as solve it — you don’t need a fully formed brief to make progress, and you bring structure where there isn’t any. Our Technology Stack Languages •      Python, SQL BI & Reporting •      ThoughtSpot Platform •      Mission Control (Alto’s internal data platform) AI / ML •      Modern ML frameworks; experimentation and causal inference tooling; LLMs and practical AI applications Why Join Alto
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Data Science Lead — Alto · Job Opportunities API