OverviewTalent Acquisition Specialist providing a 1st class recruitment service to hiring managers and candidates. Diversifying the workplace for greater…Location: London (Hybrid)Role Type: PermanentAbout UsThe UK College Division of Global University Systems (GUS) is a vibrant group of specialist institutions shaping the future of education across music, fashion, hospitality, graphic design, trading, and business. Our colleges include LCCM, LCCA, TLG, and LAT. As part of a global network with over 60,000 students across six countries, GUS is committed to delivering accessible, career-focused education that transforms lives.The RoleWe are seeking a Data Scientist to join our IT & Analytics team and play a key role in shaping the future of advanced analytics across the UK Colleges Division. You’ll design, build, and optimise machine learning models on AWS that power predictive insights, enabling proactive interventions and smarter decision-making.Key ResponsibilitiesDevelop, refine, and maintain predictive and ML models using AWS SageMaker.Explore large datasets and engineer features that drive insight and accuracy.Run experiments and fine-tune models to maximise predictive value.Monitor performance and establish processes for recalibration.Collaborate with Data Engineers, BI Developers, and Analysts.Engage with stakeholders to address real-world challenges.Document processes and support knowledge-sharing across institutions.Contribute to the expansion of predictive analytics into new areas.About YouYou’re an analytical thinker with a passion for turning data into action. With strong technical expertise and the ability to communicate insights clearly, you thrive at the intersection of data, business, and education.Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field.3+ years of professional experience in data science roles.Expertise in Python, SQL, and ML libraries (scikit-learn, XGBoost, TensorFlow, PyTorch).Hands-on experience with AWS ML stack (SageMaker, Lambda, Redshift).Strong applied ML, predictive analytics, and modelling skills.Excellent communication and collaboration skills.Master’s degree or AWS certifications.Experience in higher education or multi-system environments.Exposure to big data platforms or advanced ML frameworks.What We Offer25 days annual leavePension scheme (5% employee / 3% employer contribution)Hybrid working and flexible work-life balanceTraining and development opportunitiesSeason ticket loan (T&Cs apply)Eye care vouchers via Vision ExpressEmployee Assistance ProgrammeRefer-a-friend schemeSocial events through GOSH – GUS on Staff HappinessWhy Join Us?At GUS, you’ll be part of a forward-thinking global education group where your work has real impact. This role offers the chance to apply cutting-edge data science to support student success and institutional growth.Applicants must have the right to work in the UK. Only shortlisted candidates will be contacted.Global University Systems is an equal opportunities employer. We welcome applications from candidates of all backgrounds and experiences.Seniority levelNot ApplicableEmployment typeFull-timeJob functionInformation TechnologyIndustriesHigher EducationReferrals increase your chances of interviewing at Global University Systems by 2xLondon, England, United Kingdom 1 week ago #J-18808-Ljbffr