About the role
Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK’s first EdTech unicorn. But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. What we need: At Multiverse, the models we build don't just sit in notebooks - they drive the decisions that shape our business every day. From predicting learner outcomes to forecasting operational demand and optimising how we allocate resources, this work sits at the very core of how we run the company. As a Senior Data Scientist, you'll own these models end to end. You'll develop a deep understanding of how Multiverse operates across our customer, learner and operational domains - and translate that understanding into rigorous, production-grade ML models that genuinely move the needle. To be successful, you'll be comfortable getting hands-on with pipelines and infrastructure - and unafraid of the statistical rigour that serious modelling demands. You'll work closely with stakeholders across every part of the business - helping them ask better questions, understand the answers, and act on them with confidence. Our leaders will make multi-million dollar decisions based on your recommendations, and our AI-powered product will decide how to support learners based on your models. You'll sit within our Data & Insight team, working day-to-day alongside Data Engineers, Data Product Developers and Insight Analysts. What you'll focus on: Business Understanding & Problem Definition Building genuine expertise in how Multiverse operates across customer, learner and operational domains - becoming a trusted thought partner Translating complex and often ambiguous business questions into well-scoped modelling problems with clear success criteria Identifying where predictive, forecasting or optimisation models can have the greatest business impact, and prioritising accordingly Modelling & Statistical Analysis Designing, developing and iterating supervised and unsupervised ML models that predict, forecast and optimise across the business Applying rigorous statistical methods to ensure models are robust, unbiased and genuinely causal wherever causal claims are being made Developing a deep understanding of our data landscape - its lineage, quirks, and limitations - and designing approaches that account for them Monitoring and refining models over time, ensuring they remain accurate and relevant as the business evolves Data Engineering & Infrastructure Collaborating closely with Data Engineers to build and maintain the data pipelines and ML infrastructure needed to develop and deploy your models Productionising models to run reliably at scale, adhering to software engineering best practices - including version control, CI/CD and vulnerability management Evaluating and implementing scalable approaches to data collection and processing, ensuring robust practices are in place
