Role overview
We're looking for someone with:
- A relevant MSc degree or equivalent experience
- Strong analytical, problem-solving and critical-thinking skills
- A passion for learning and developing deep expertise
- Proficiency in a programming language like Python, R or SAS
- Experience in data analysis, machine learning, handling large data sets, and using industry-standard tools and technology
- Some familiarly with Natural Language Processing, Large Language Models or generative AI desirable but will be developed on-the-job.
If you would like to know more about this opportunity and what will make you successful, please see the full job description attached to the bottom of this vacancy on our careers site.
We are a Disability Confident (DC) employer that is committed to equality and inclusion ensuring our recruitment process is accessible to all. The DC scheme's Offer of an Interview commitment applies to applicants who opt in, and disclose a disability or a long-term health condition, and best meet the minimum criteria for the role. In instances where interviewing all qualifying candidates is not practicable, we prioritise those who best meet the minimum criteria, as we would for applicants who do not have a disability or long-term health condition.
Please note, Cambridge University Press & Assessment is unable to sponsor this role under the Skilled Worker Visa route as it does not meet the minimum skill requirements.
Joining us is your opportunity to pursue potential. You will belong to a collaborative team that is exploring new and better ways to serve students, teachers and researchers across the globe – for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration.
Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it is safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background.
We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities.
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