Data Scientist
New Today
Overview
Nord Anglia Education – the world’s leading international schools organisation – is recruiting a Data Scientist. You will be joining the IT team in our London HQ. Location: London Victoria (hybrid model, minimum 3 days in the office).
London is our global headquarters where colleagues across Finance, Risk, Corporate Development, Legal, HR, MAC and Education drive the success of our 80+ schools in 30+ countries. By joining our fast paced and innovative organisation, you will liaise with our global team across regions and time zones.
If you have a global mindset, enjoy thinking outside the box and are prepared to go above and beyond to find solutions, then a career at Nord Anglia is for you.
The Role
As Data Scientist your focus will be:
- Design and deliver predictive and advanced AI/ML models to forecast school trends (e.g., enrolments, churn, retention, staff satisfaction).
- Execute high-value data science use cases.
- Execute high-impact data science use cases aligned to our goals.
- Perform root-cause and correlation analysis to uncover hidden drivers of performance.
- Implement time-series and trend-based forecasting models.
- Engineer high-quality features and datasets, delivering outputs in accessible format.
- Deliver clear and accessible outputs using tools such as dashboards, reports, or data notebooks.
- Support data science best practices through mentoring, peer review, and reproducible code.
The Successful Candidate Will Possess
- Experience in a senior or lead data science role
- Strong applied knowledge of:
- Supervised learning models (regression, classification, tree-based models)
- Clustering and segmentation methods (e.g. K-Means, DBSCAN, hierarchical)
- Time-series forecasting (ARIMA, Prophet, LSTM)
- Causal inference frameworks (e.g. DiD, propensity scores, Granger causality)
- SHAP / feature importance tools for explainability
- Advanced Python or R for data science
- Experience with visualisation platforms (e.g., Power BI, Tableau, Dash)
- Proficiency in SQL and handling relational data
- Strong understanding of model validation, data quality, and analytical hygiene
About Us
Nord Anglia Education is the world’s leading international schools organisation. Our 80+ international schools are located in the Americas, Europe, China, Southeast Asia and the Middle East. We educate more than 90,000 students from kindergarten through to the end of secondary education. We are driven by one unifying philosophy: we are ambitious for our students, our people and our family of schools.
Our collaborations with prestigious institutions such as UNICEF, MIT, IMG Academy and Juilliard place us at the forefront of educational thinking while creating life-changing experiences for students.
By joining Nord Anglia Education you become part of a committed and innovative team with an active network across the world. We offer a “Create your Future” mindset and provide a range of experiences and opportunities to enhance skills, with autonomy to grow your career.
To Apply
Online applications should be made directly through the Nord Anglia Education careers page and should include a CV.
Nord Anglia Education is an equal opportunities employer dedicated to creating a diverse and inclusive workforce. We treat all colleagues fairly based on skills and qualifications, without discrimination. We value individuals from all backgrounds, including those with different abilities and neurodivergent conditions, and those who identify with protected characteristics.
Nord Anglia Education is committed to safeguarding in our schools and expects every employee to share this commitment.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Engineering and Information Technology
- Industries
- Education
Note: This description reflects the core responsibilities and requirements of the Data Scientist role as described in the original posting, with extraneous job-board content removed for clarity.
- Location:
- City Of London, England, United Kingdom
- Salary:
- £100,000 - £125,000
- Job Type:
- FullTime
- Category:
- IT & Technology
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