Bold innovation and leadership. Informed decision-making. Impacting the future. Head of Data Science& Performance 85,000 - 90,000 ( Benefits) Reports to: Director of Data, Insight& Performance Department: Marketing, Fundraising& Engagement Contract: Permanent Hours: Full time 35 hours per week Location: Stratford, London. Office-based with high flexibility (1-2 days per week in the office). Visa sponsorship: Cancer Research UK can consider visa sponsorship for this vacancy. If this applies to you, please ensure that this is clearly marked on your application. Closing date: 14 March 2025 23:55 This vacancy may close earlier if a high volume of applications is received or once a suitable candidate is found, therefore we strongly recommend that you apply early to avoid disappointment. If you require more time to apply as part of a reasonable adjustment, please contact as soon as possible. Recruitment process: One telephone interview followed by two competency-based interviews (the final stage will be face-to-face in our London office) Interview date: From the week commencing 17 March 2025. How do I apply? We operate an anonymised shortlisting process in our commitment to equality, diversity, and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to fully complete the work history section of the online application form for us to be able to assess you quickly, fairly, and objectively. At Cancer Research UK, we exist to beat cancer. We are professionals with purpose, beating cancer every day. But we need to go much further and much faster. That's why we're looking for someone talented, someone who wants to develop their skills, someone like you. 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 Engage Strategy 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). As a Head of Data Science& Performance, you will play an essential role in helping us achieve this mission to place data and audiences at the core of our decision-making process. You will lead our Data Science, Analytics, and Reporting teams through a large data and technology transformation program within our Marketing, Fundraising and Engagement (MFE) directorate. This will involve providing technical support and leadership across a multidisciplinary team to leverage industry best practices for insights, analytics, and reporting. You will spearhead the transition from legacy systems to a robust, scalable, and future-fit tech stack, and develop a highly engaged and talented team of data professionals. Furthermore, you will be at the forefront of our data-driven journey, playing an influential role in creating and nurturing a strong data culture across MFE and the wider organisation. If you are an experienced Head who has led data analysis and modelling functions in large, complex B2C marketing-led organisations with a digital-first approach, we'd love for you to join our mission. What will I be doing? Supporting and leading the Data, Insight& Performance teams to leverage industry best practices in data and technology for insights, analytics, and reporting across the Marketing, Fundraising& Events (MFE) directorate. Supporting the Data, Insight& Performance teams in transitioning from legacy systems onto a robust, scalable, and future-fit tech stack. Collaborating closely with the Head of Data Strategy and Delivery, Consumer Insight& Experience, and Audience Strategy& Innovation teams to: Create an agnostic, integrated view of performance centred on the supporter/consumer. Validate opportunities for growth, development, and improvement. Proving leadership and expert guidance on data modelling initiatives while championing and validating demand across MFE. This will involve supporting technical/operational capabilities for scaling and embedding into end-to-end BAU activities. Leading MFE on a journey towards increased automation reporting, ensuring strong data consistency and curation to facilitate self-serve reporting. Supporting the Digital Reporting team in enhancing the effectiveness of owned, paid, and earned media. Managing the Analytics team, ensuring repeat requests are identified and codified for automation, and resources focus on impactful value-add insights and deep dive projects. Providing senior technical expertise and guidance across data and modelling initiatives, ensuring adherence to industry best practices and compliance frameworks. Identifying and driving process improvements utilising new tools and techniques. Keeping abreast of new industry trends and developments, supporting team training, development, and trial adoption (including GenAI). Supporting the Data, Insight& Performance Director to enable a step change in data-led ways of working and culture across MFE What skills will I need? Senior leadership experience at Head level, with a background leading data analysis and modelling functions in large, complex B2C marketing-led organisations with a digital-first approach. Expertise in technical coding language and data visualisation tools (e.g. SQL, Python, Snowflake, PowerBI, Databricks, GA) and experience implementing best practices, guidance, and standards. Experience using statistical analysis to understand and drive value from consumer behaviour (including setting up supervised& unsupervised learning models, data cleaning, data analytics, feature creation, model selection, performance metrics, and visualisations). Solid grounding in the principles and application of MLOps (e.g., Snowpark, MLFlow, Github) with experience in productionising and managing models.A successful track record of leading and developing high performing data insight teams (including managing, coaching, recruiting, and developing talent).</li