About this role
Salary: £63,000 - 103,000 per year
Requirements: Curiosity and a desire to learn new topics and skillsEmpathy for others and eagerness to share knowledge and expertise with colleagues, customers, and the general publicAbility to explain complex topics clearly to technical and non-technical audiencesMore than 2 years of experience with Python and SQLMore than 2 years of experience building machine learning models and using machine learning tools such as scikit-learnFamiliarity with data visualization in Python and RUnderstanding of underlying data systems, such as cloud architectures, Hadoop, or SQLBonus: Experience in consulting or customer-facing data science rolesBonus: Experience with data engineering or MLOpsBonus: Experience developing web apps in JavaScript, R Shiny, or DashBonus: Experience building APIsBonus: Experience using enterprise data science toolsBonus: Passion for teaching or public speaking Responsibilities: Scope and co-develop production-level data science projects with customers across industries and use casesHelp users discover and master our platform through user training, office hours, and ongoing consultative supportProvide strategic input to customers and account teams to help customers succeedProvide data science expertise to customers and our sales and marketing teamsDevelop custom Python-based plugins with our Solutions, R&D, and Product teams to enhance our platforms functionality Technologies: AIAI AgentsCloudHadoopSupportJavaScriptMachine LearningMarketingMLOpsPythonPySparkSQLWeb More:
We are Dataiku, the Platform for AI Success: an enterprise orchestration layer for building, deploying, and governing AI. Our environment enables teams to design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. We connect the enterprise AI stack across data platforms, cloud infrastructure, and AI services, helping organizations run AI across multi-vendor environments with centralized governance. Leading companies rely on us to operationalize AI and deliver measurable business value. Our Data Scientists code solutions to real-world problems and work directly with customers throughout their journey, including platform discovery, integrations, training, and project development from design to deployment. We use our platform daily, primarily with Python and SQL, and sometimes with R, PySpark, and JavaScript. We value innovation, collaboration, personal growth, and treating everyone with dignity, decency, and fairness. We are an equal opportunity employer.
last updated 40 week of 2026