Multiverse
EdTech
SeniorDataScientist
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Scientist at Multiverse. Skills: Machine Learning, Data Science, MLOps. Build expertise in business operations. Translate business questions into modelling problems”
Industry & Context.
Ask better questions; Understand the answers; Act on answers with confidence
Basic DBS check, Enhanced DBS check, Children's Barred List check, Prohibition Order check
What They're Looking For.
Must Have
5+ years data science/machine learning experience, Proven track record building and deploying models, Deep expertise in predictive modelling, forecasting and/or optimisation, Command of underlying statistical principles, Proficiency in Python and core ML libraries, Advanced working knowledge of SQL, Hands-on experience with data pipelines, Hands-on experience with ML infrastructure, Experience working within AWS or Azure, Comfort working across data stack, Experience with version control, Experience with CI/CD practices, Rigorous attention to statistical validity, Comfort challenging assumptions, Comfort defending methodology, Understanding of data protection best practices, Understanding of information security best practices
Nice to Have
Experience with causal inference methods, Experience with dbt for data transformation, Knowledge of infrastructure as code tools, Professional or academic background in quantitative discipline
What You'll Do.
Build expertise in business operations
Translate business questions into modelling problems
Identify where models can have business impact
Design supervised and unsupervised ML models
Apply statistical methods to ensure models are robust
Develop understanding of data landscape
Monitor and refine models
Build and maintain data pipelines
Build ML infrastructure
Productionise models to run reliably
Evaluate scalable approaches to data collection
Evaluate scalable approaches to data processing
How You'll Work.
Team & Collaboration
Work closely with stakeholders; Collaborate with Data Engineers; Work alongside Data Product Developers; Work alongside Insight Analysts
Full Job Description
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 p
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