Senior Data Scientist

Senior Data Scientist 📍 Location - London Who We Are: At Omaze, we give our community in the UK and Germany the chance to win luxury homes and other life-changing prizes — all while raising money for the causes they love. Thanks to our Omaze Community, we've raised over £150 million for UK charities. That's millions helping organisations like Age UK, the RSPCA, British Heart Foundation and Great Ormond Street Hospital Charity deliver life-saving work. And the best part? We're only just getting started. Omaze is building a business and culture committed to growth and creating significant social impact on a global scale. 🔑 About The Job As our Senior Data Scientist, you’ll be a hands-on member of our Data & Analytics team, working across Omaze’s core commercial and product domains. You’ll design, build and deploy predictive models and statistical frameworks that directly inform how we acquire, convert and retain customers, and how we understand their long-term value. You’ll own end-to-end model development across areas including subscriber churn, site and funnel conversion, customer lifetime value and propensity modelling for segmentation and targeting. You’ll also play a central role in strengthening our experimentation programme, helping us design robust A/B and multivariate tests and ensuring we apply the right statistical methodologies to interpret and act on results with confidence. Working closely with Product, Marketing, Commercial and Engineering, you’ll turn complex data into clear decisions and useful solutions — ultimately helping Omaze become number one for charitable impact globally. 🔧 What You’ll Be Doing Build, validate and iterate on predictive models for churn, conversion, customer lifetime value and customer segmentation using tabular machine-learning techniques, including gradient-boosted trees, logistic regression and survival models. Own statistical methodology for our experimentation programme, including power analysis, test design, sequential testing, multiple-comparison corrections and pre-registered decision frameworks. Develop propensity and uplift models to support targeting, personalisation and marketing effectiveness measurement. Write production-quality code in Python and/or R, partnering with Data Engineering to deploy models into our data warehouse and downstream systems. Work with Product and Marketing teams to translate commercial questions into well-scoped analytical and modelling problems. Communicate model outputs, experiment results and recommendations clearly to technical and non-technical audiences, helping stakeholders understand both statistical and practical significance. Contribute to how the Data & Analytics team works, including code review standards, documentation and reproducibility. Build models that are not only technically robust, but operationally useful — with a focus on delivering measurable impact for our customers, our business and our charity partners. 🤩 About You You have proven