Data Scientist

Oakridge International School, Bengaluru; City Of London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading private international schools organization is seeking a Data Scientist to join their London HQ. The role involves applying advanced analytics and machine learning to solve business problems and support school success. Candidates with experience in data science and proficiency in Python or R are encouraged to apply. This role offers a hybrid work model, requiring a minimum of 3 days in the office.

Qualifications

• Strong understanding of model validation and data quality.
• Ability to mentor and support data science best practices.
• Proven experience with feature importance tools.

Responsibilities

• Lead application of advanced analytics and machine learning.
• Design and deliver predictive AI/ML models.
• Perform root-cause analysis for performance drivers.
• Implement time-series forecasting models.
• Engineer high-quality datasets and features.

Skills

Experience in a senior or lead data science role

Supervised learning models

Clustering and segmentation methods

Time-series forecasting

Causal inference frameworks

Advanced Python or R

Visualisation platforms (Power BI, Tableau)

Proficiency in SQL

Job description

Overview

Data Scientist | London (hybrid model, minimum 3 days in office)

Nord Anglia Education – the world’s leading private international schools organisation – is recruiting a Data Scientist. You will join the IT team in our London HQ. London is our global headquarters with 200 colleagues across Finance, Risk, Corporate Development, Legal, HR, MAC and Education, driving the success of our 80+ schools in 30+ countries. If you have a global mindset and enjoy solving problems with innovative analytics, consider a career at Nord Anglia.

The Role

As Data Scientist you will lead the application of advanced analytics, machine learning, and statistical modelling. You will use data to solve complex business problems and uncover actionable insights to help our Schools succeed.

• 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 aligned to our goals.
• Perform root-cause and correlation analysis to uncover drivers of performance.
• Implement time-series and trend-based forecasting models.
• Engineer high-quality features and datasets, delivering outputs in accessible formats.
• Deliver clear outputs using 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 (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 operates 80+ international schools across the Americas, Europe, China, Southeast Asia, and the Middle East, educating more than 90,000 students from kindergarten through secondary. We collaborate with institutions such as UNICEF, MIT, IMG Academy and Juilliard to stay at the forefront of educational thinking. We offer opportunities to grow within a global, innovative team and encourage a proactive, autonomous mindset.

To Apply

Online applications should be submitted directly through the Nord Anglia Education careers page and include a CV.

Nord Anglia Education is an equal opportunities employer committed 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, as well as those who identify with protected characteristics. We are committed to safeguarding standards in our schools and expect every employee to share this commitment.

Job Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Education

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