Data Scientist

Global University Systems; City Of London; Hybrid; GBP 60,000 - 69,000; Full time

Job summary

A leading educational institution in London is seeking a Data Scientist to develop predictive models and collaborate on data-driven projects. The ideal candidate has a Bachelor's degree in a related field, over 3 years of experience in data science, and strong skills in Python and AWS. You will engage with stakeholders and contribute to innovative solutions that enhance student success and institutional growth. This position offers a hybrid working model with a competitive salary and generous benefits.

Benefits

25 days annual leave

Pension scheme

Training and development opportunities

Social events

Employee Assistance Programme

Qualifications

• 3+ years of professional experience in data science roles.
• Hands-on experience with AWS ML stack.
• Expertise in ML libraries and predictive analytics.

Responsibilities

• Develop and maintain predictive and ML models.
• Collaborate with Data Engineers, BI Developers, and Analysts.
• Engage with stakeholders to address real-world challenges.

Skills

Data analysis

Python

SQL

Machine Learning

Communication

Education

Bachelor's degree in Data Science or related field

Tools

AWS SageMaker

scikit-learn

XGBoost

TensorFlow

PyTorch

Job description

Company Description

Location: London (Hybrid)

Role Type: Permanent

Salary: £60,000 to £69,000 per annum

About Us

The 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.

Position

Key Responsibilities

• Develop, 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.

Requirements

About You

You'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.

Essential:

• 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.

Desirable:

• Master's degree or AWS certifications.
• Experience in higher education or multi-system environments.
• Exposure to big data platforms or advanced ML frameworks.

Other information

What We Offer

• 25 days annual leave
• Pension scheme (5% employee / 3% employer contribution)
• Hybrid working and flexible work-life balance
• Training and development opportunities
• Season ticket loan (T&Cs apply)
• Eye care vouchers via Vision Express
• Staff discount scheme
• Employee Assistance Programme
• Refer-a-friend scheme
• Social events through GOSH - GUS on Staff Happiness

Why 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.