Job Title

Job Title:Principal Data ScientistSalary:£74,200 - £99,250Location:Cambridge/Hybrid with 2 day per week at the officeContract:PermanentHours:Full time 35 hours per weekAre you excited by the challenge of applying data science and AI to problems that genuinely matter? At Cambridge Assessment, we are transforming how assessments are designed, delivered and marked worldwide. As a Principal Data Scientist, you will play a pivotal role at the heart of this transformation leading our data science capability for AI-enabled assessment products used by millions of learners globally.We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge.This is a senior, influentialrole where you will combine deep technical expertise with strategic leadership. You will shape our data strategy, lead and mentor a growing team, and work closely with researchers, engineers and product teams to turn complex data into insight, innovation and trusted solutions.About the roleAs PrincipalData Scientist, you will lead the operational data science and analytics capability within our Assessment & Research Capabilities (ARC) function. You will be the data leader for automarking, representing ARC's data capability across Exam Technology and the wider organisation.Youwill:Set the direction for data science and analytics supporting automarking and AI-driven assessmentLead and grow a small, high-impact team of data scientists and engineersCurate high-quality data products used across research, machine learning and product teamsAct as a trusted partner to senior stakeholders, influencing product and research decisions with evidence and insightEnsure sensitive exam and candidate data is handled responsibly and ethicallyAdditional responsibilities and accountabilities include:Lead data science, data engineering and analytics activities within ARCDefine and own the data strategy for automarking and related AI capabilitiesDesign and oversee data warehouses, pipelines and integrations with the wider organisationTranslate complex business and research needs into robust data solutionsProvide expert input into product, research and architectural decisions, up to board levelBuild strong relationships with internal teams and external research partnersChampion best practice in data quality, DataOps and analytics engineeringThis position has been classified as a hybridrole, 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 yourequireadjustments due to a disability or long-term health condition.About YouTo be successful in this role, you will bring:Extensive experience in data science, analytics or analytics engineering in a complex environmentAdvanced SQL skills, including writing, analysing and optimising large analytical queriesStrong experience with a data science programming language such as Python, R or JuliaHands-on experience with data transformation tools such as dbt, Dataform or SQLMeshExperience using BI and visualisation tools such as Metabase, Looker, Tableau or Power BIA strong understanding of data warehousing principles (e.g. Kimball methodology)Experience designing data models that enable self-service analyticsProven ability to translate business or research questions into data-driven insightsExperience communicating complex technical concepts to non-technical and senior audiencesLeadership experience, including mentoring and guiding other data professionalsIf you meet theaboveminimumrequirements, we encourage you to apply. Your application will be even stronger if you can alsodemonstratethefollowingdesirablecriteria:Machine learning or AI product experienceExposure to automarking, assessment, or high-stakes data environmentsSkills in experimentation and statistical analysis (A/B testing, forecasting)Familiarity with DataOps (CI/CD, testing, orchestration, observability)For a detailed job description, please refer to the linkat the bottom of the advert on our careers site.We are aDisability Confident (DC) employer that is committed to equality and inclusion ensuring our recruitment process is accessible to all. The DC scheme'sOffer of an Interviewcommitment applies toapplicants who opt in, anddisclosea disability or a long-term health condition, and best meet theminimumcriteria for the role. In instances where interviewing all qualifying candidates is notpracticable, we prioritise those who best meet theminimumcriteria, as we would for applicants who do not have a disability or long-term health condition.Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to thegov.ukwebsite for guidance to understand your own eligibility based on the role you are applying for.Rewards and benefitsWewill 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, flexiblerewards package, featuring family-friendly and planet-friendly benefits including:28 days annual leave plus bank holidaysPrivate medical and Permanent Health Insurance Discretionary annual bonus Group personal pension schemeLife assurance up to 4 x annual salary Green travel schemes Ready to pursue your potential? Apply now.We aim tosupport candidates by making our interview process clear and transparent. The closing date for all applications will be13thMarchWe will review applications on an ongoing basis, and shortlisted candidates can expect interviews to take place shortly after it closes.As part of theapplication process, you can expect: At application stage: four technical questions to answer when submitting your CV.Stage 1: 30-minute screening call with the hiring manager.Stage 2: 60-minute session includes questions about key skills as well as a code review or whiteboard exercise.Stage 3: 90-minute system design exercise with an assignment provided at least three days before the interview. During the interview, is where the designs are explained and discussed.Stage 4: Leadership and cultural 45-minute 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 notethat successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry.We arecommitted toan equitablerecruitment process. As such, applications must besubmittedvia our official online application procedure. Please refrain from sending your CV directly to our recruiters. If you experience technical difficulties or requireadditionalsupport withsubmittingyour online application, contact the Recruiter.Why join usJoining us isyour opportunity to pursue potential.You willbelong to a collaborative teamthat isexploring new and better ways to serve students,teachersand researchers across the globe for the benefit of individuals,societyand the world. Sharing our mission will inspire your own growth,developmentand 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, whereit issafe 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, genderidentityand sexual identity), cultural, or social class/background.We believe better outcomes come throughdiversity of thought,backgroundand approach. We welcome applications from people from all backgrounds and communities, activelyseekingto employ people from a wide range of different communities.TPBN1_UKTJ