Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Adjunct Faculty in Data Science & Analytics

Hult
London
2 weeks ago
Create job alert

Careers at Hult

View Open PositionsMore From HultDownload BrochureApply NowGet in Touch

Programs

Bachelor's DegreeMaster’s DegreesMBA DegreesDoctorate DegreesCoaching QualificationsApprenticeships

Locations

Hult BostonHult San FranciscoHult LondonHult DubaiHult New YorkHult SingaporeHult Ashridge

About Hult

AboutAlumniResearchFacultyCareersAccreditations & RankingsHult BlogUpcoming EventsAboutNewsroom AlumniResearchApply

Menu

Careers at Hult

View Open PositionsBack to Jobs

Adjunct Faculty in Data Science & Analytics

London, United Kingdom

Part time - Mid – Senior Level

Faculty & Research

The Opportunity

Hult International Business School seeks impactful teachers to train and launch the next generation of international business leaders. Specifically, we are seeking an Adjunct Faculty in Data Science & Analytics with our undergraduate business program in London, UK. The successful candidate has a proven record of facilitating excellent student experiences. Even more important is the candidate’s demonstrated willingness to improve teaching practices and to innovate new tools and techniques to achieve student learning objectives. The ideal candidate will also have active research projects that have and will continue to generate relevant and rigorous intellectual contributions in both academic and practitioner-oriented channels. Finally, the candidate should desire to join our community with an explicit desire to improve all aspects of the Hult educational experience, including those outside of the classroom.

Candidates who are able to teach the following courses will be given priority:

Introduction to Data Analytics Fundamentals of Business Analytics Introduction to Programming with Python Supervised Machine Learning

Expected Qualifications:

Minimum of a Master’s degree related to the area of teaching, with a preference for an earned doctorate (PhD or DBA) from an AACSB-accredited institution. Applicants within a year of completing their doctorate (i.e. ABD) will also be considered Demonstrated knowledge and teaching experience in Data Science & Analytics at a graduate and undergraduate level, with an average teaching evaluation above 4 out of 5. Evidence of successful teaching to large groups of internationally diverse students at the university level. A Hult classroom with 65 students may represent 40 different nationalities. Evidence of scholarly activity directly related to the applicant’s discipline, with at least one peer-reviewed article and one practitioner-related output per year. Professional experience in international business is highly desirable to bring direct, relevant business practice into the classroom. Candidates who have extensive professional experience without a PhD may be considered.

Applications should include a CV and official teaching evaluations. Candidates who progress in the interview process will be asked for three references.

Please note that you must have the right to work in the UK without visa sponsorship, now or in the future, to be considered for this position.

Related Jobs

View all jobs

Adjunct Faculty in Data Science & Analytics

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.

Automate Your Machine Learning Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

ML jobs are everywhere—product companies, labs, consultancies, fintech, healthtech, robotics—often hidden in ATS portals or duplicated across boards. The fastest way to stay on top of them isn’t more scrolling; it’s automation. With keyword-rich alerts, RSS feeds, and a reusable ChatGPT workflow, you can bring relevant roles to you, triage them in minutes, and tailor strong applications without burning your evenings. This is a copy-paste playbook for www.machinelearningjobs.co.uk readers. It’s UK-centric, practical, and designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning LLM/NLP, Vision, Core ML, Recommenders, MLOps/Platform, Research/Applied Science, and Edge/Inference optimisation. Shareable Boolean searches you can paste into Google & job boards to cut noise. Always-on alerts & RSS feeds delivering fresh roles to your inbox/reader. A ChatGPT “ML Job Scout” prompt that deduplicates, scores fit, and outputs tailored actions. A lightweight pipeline tracker so deadlines and follow-ups never slip.