.**Senior Data Scientist** X 2**Location:** Stratford, London Office-based with high flexibility (1-2 days per week in the office) We are looking for **2 Senior Data Scientists** to join You’ll bring strong expertise in data visualisation tools, particularly Python, along with experience in MLOps and the ability to translate complex insights into compelling stories. You’ll work across a wide variety of high impact projects within MFE, including our London Marathon initiative, where we’re using machine learning to identify the supporters most likely to generate the greatest income. You’ll also support our Legacies team, which contributes a third of CRUK’s overall income, by developing forecasting models and analytical tools that help them plan confidently and maximise long term value.Lead ML/AI projects with stakeholders across CRUK, working with key stakeholders to document ML/AI objectives and requirements. Coach data scientists in ML/AI methodologies to enable knowledge growth amongst the team. Collaborate with other team members to create a culture of high-performance, sharing knowledge in Python, via AWS Sagemaker/Snowpark and other tools Build, develop and manage relationships and share skills and learning with key stakeholders and networks to ensure the work of the department matches needs and builds capability. Related degree in computer science, mathematics, or related STEM field, or equivalent work experience within this field Demonstrable hands-on skills and experience in technical coding language and data visualisation tools (e.g.. SQL, Python, Snowflake, PowerBI, Databricks, GA), providing and implementing best practice guidance and standards. Experience of using statistical analysis to understand and drive value from consumer behaviour, including setting up supervised & unsupervised learning models, covering data cleaning, data analytics, feature creation, model selection, performance metrics & visualisation Hands-on experience applying MLOps principles (e.g. Snowpark, MLFlow, Github) Experience in creating and developing high performing experimentation analytical support (test and learn, multivariate tests, ML optimisation, automations). Experience in a large-scale organisation within a matrixed environment, where essential skills include influencing and managing stakeholders to bring data science to life If you’reexperience we’d still love to hear from you. interested in applying and excited about working with us but are unsure if you have the right skills and We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals.You can explore our benefits by visiting our
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