Job Description Senior Data Scientist n Location: London n Reporting To: Chief Technology Officer About Us n Our client is a leading AI-powered SaaS company that helps businesses unlock the full potential of their first-party data. Their platform solutions transform complex data into actionable intelligence, enabling clients to drive customer revenue growth, optimise decision-making, and gain a competitive edge. n They specialise in key UK consumer service sectors, including Finance, Retail, Travel, Telco, and Healthcare, where AI-driven insights turn first-party data into a competitive advantage. Built on deep industry expertise from working with major household-name brands, their solutions tackle real-world commercial challenges with precision. n Currently serving clients in four countries, they have two live products and two cutting-edge AI solutions in development. These innovations, combined with deep industry expertise, position them to scale rapidly and deliver exceptional value. n This is an exciting moment in their journey as they scale rapidly, push AI-driven decision intelligence forward, and help businesses unlock sustainable growth. Role Overview n We’re looking for a Senior Data Scientist who can combine the rigour of statistical modelling with the creativity of real-world storytelling. You’ll design and deliver AI/ML models that are not just accurate – but deployable, explainable, and aligned to clients’ commercial goals. n You’ll play a key role in shaping how AI is productised and scaled, from building bespoke datasets to operationalising end-to-end pipelines with ML Ops. Your work will span forecasting, customer segmentation, churn prediction, and commercial optimisation. n This is not a research role – it’s a hands-on, high-impact position for someone ready to own data science delivery across a variety of projects and products. Key Responsibilities n n n Design and build machine learning models for: n ? Forecasting (eg demand, revenue) using tools such as Prophet n ? Propensity modelling for churn, conversion, and cross-sell n ? Customer segmentation using k-means or advanced clustering techniques n n Own end-to-end data workflows: feature creation, data wrangling, model tuning, validation, deployment, and monitoring n Architect your own datasets where needed – merging structured and semi-structured data to power robust insights n Operationalise models using ML Ops, ensuring continuous delivery and integration with cloud-based systems n Collaborate with product, engineering, and client teams to align technical outputs with business outcomes n Interpret and visualise results artistically and insightfully – transforming statistical outputs into compelling decision tools n Continuously experiment with new methods, technologies, and approaches to improve performance and interpretability n Lead by example on code quality, experimentation, and reproducibility n Coach and mentor junior data scientists n 3-5 years of experience in a Data Science, AI, or ML-related role n Why Join? n n Work on real-world AI challenges that impact millions of customer decisions n Join a cloud-native, AI-first company where models are deployed, scaled, and used – not just prototyped n Collaborate with senior AI engineers, product managers, and domain experts n Shape product and platform direction through your modelling and insight n Competitive salary, professional development budget, and mentorship from industry veterans n n This is an opportunity to push the boundaries of applied data science in a company that doesn’t just talk about AI – they build it, run it, and scale it. n If you’re a builder, thinker, and creative technologist – we want to hear from you.
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