Data Scientist - 6937

Job Title: Data Scientist

Salary: £38,000 - £49,325

Location: Cambridge/Hybrid (2 days per week in the office)

Contract: Permanent

Hours: 35 hours per week

Join Us in Making a Global Impact!

Are you ready to be part of an organisation that transforms lives and futures worldwide? At Cambridge University Press & Assessment, we're on a mission to enhance education and research for over 100 million learners, teachers, and researchers. As a Data Scientist, you'll join a passionate team dedicated to leveraging data science and AI to solve real-world problems.

We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge.

Why you'll love working with us

• Innovative Environment:Your curiosity and creativity are encouraged. Experiment, innovate, and bring your ideas to life!
• Collaborative Team: Work alongside a diverse and supportive team of data scientists from various backgrounds, including industry experts, former post-doc researchers and apprentices.
• World-Class Organisation: Join a world-leading academic publisher and assessment organisation, a proud part of the University of Cambridge.

About the role

As a member of our Data Science Unit, you'll collaborate with different departments on impactful projects. Your responsibilities will include:

• Developing and supporting data science and AI products for our customers.
• Designing and executing applied AI research and data science projects, communicating findings to both technical and non-technical audiences.
• Translating business problems and opportunities into data science and AI problems and solutions and proposing new projects.
• Continuously enhancing your knowledge and skills to stay ahead in this fast-evolving field.

This position has been classified as a hybrid role, requiring the selected candidate to typically spend 40-60% of their time collaborating and connecting face-to-face at their dedicated location. Aside from our hybrid principles, other flexible working requests will be considered from the first day of employment, including other work arrangements should you require adjustments due to a disability or long-term health condition.

About You

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 familiar 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.

Rewards and benefits

We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package, featuring family-friendly and planet-friendly benefits including:

• 28 days annual leave plus bank holidays
• Private medical and Permanent Health Insurance
• Discretionary annual bonus
• Group personal pension scheme
• Life assurance up to 4 x annual salary
• Green travel schemes

Ready to pursue your potential? Apply now.

We aim to support candidates by making our interview process clear and transparent. The closing date for all applications will be 4th March.

Please note that the application process consists of the following stages:

• Submission of an application with your CV, cover letter, and responses to a set of twelve role-related questions
• First stage: Psychometric testing
• First interview (Technical), conducted virtually
• On-site practical task at Triangle, followed by a second face-to-face interview for those who advance past the first technical interview

If you require any reasonable adjustments during the recruitment process due to a disability or a long term health condition, there will be an opportunity for you to inform us via the online application form. We will do our best to accommodate your needs.

Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry.

We are committed to an equitable recruitment process. As such, applications must be submitted via our official online application procedure. Please refrain from sending your CV directly to our recruiters. If you experience technical difficulties or require additional support with submitting your online application, contact the Recruiter.

Why join us

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.