Data Scientists

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. What will I be doing? Lead ML/AI projects with stakeholders across CRUK, working with key stakeholders to document ML/AI objectives and requirements. Develop data and modelling initiatives, leveraging industry best practice and internal compliance frameworks Coach data scientists in ML/AI methodologies to enable knowledge growth amongst the team. Implement models using a robust MLOPs process, from ingestion through modelling to on-going monitoring and performance Ensure correct experimentation and measurement approach is implemented for all ML/AI initiatives Deliver LLM capabilities into CRUK, ie. summarisation tools, smart search 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.

We are looking for 2 Senior Data Scientists to join our Marketing Fundraising and Engagement (MFE) directorate, enabling data driven decisions that drive impact., 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 Understanding of recommendation systems would be beneficial but isn't essential Our organisation values are designed to guide all that we do. Bold: Act with ambition, courage and determination Credible: Act with rigour and professionalism

We're looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer. If you're interested in applying and excited about working with us but are unsure if you have the right skills and experience we'd still love to hear from you. What will I gain? 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.

Cancer Research UK has a vision to bring about a world where everybody can lead longer, better lives, free from the fear of cancer. However, to achieve our mission and grow our funding, we must build even greater momentum and urgency around our cause, and engage and inspire millions of people in deeper, more meaningful ways to join our mission. Therefore, we have created a long-term and designed a bold transformation programme which aims to better harness data and digital marketing technology to deliver more relevant, trusted, and frictionless experiences for our audiences (and in turn drive growth).