Join to apply for the Data Scientists role at Arden University

Salary: £38000 per annum

Employment type: Permanent

Reporting into: Principal Data Analyst

Department: Analysis, Insights & Performance

Overview

This is a remote role with little to no travel to Arden campuses. The position is permanent and based at Arden University, with remote working as a non-contractual benefit noted in employment contracts.

About Arden University

Arden University is an aspirational and multi-award-winning university delivering rapid growth with ambitious plans to disrupt the higher education sector through innovation and digital education. The vision is to become the first-choice university for career-focused lifelong learners worldwide, ensuring access to higher education for everyone, everywhere.

There has never been a more exciting time to join Arden University as we expand into new disciplines, forge worldwide partnerships, and extend our locations.

About the Department

The Analysis, Insights & Performance department drives data-driven decisions by providing valuable insights, monitoring performance, and promoting innovation to support student outcomes and continuous improvement.

About the Opportunity

As a Data Scientist at Arden University, you will use your scientific expertise to drive improvements in student experience, student outcomes, and operational efficiency. You will apply machine learning and AI techniques to build data products that enhance decision making, translate complex techniques into compelling visions for organisational improvement, develop high-quality code and algorithms, and integrate them into business processes and day-to-day decision making.

About You

This is an exciting opportunity for recent graduates or junior scientists seeking the next step in their career. More experienced candidates looking for a change are also welcome.

Essential requirements

• Proven data literacy with ability to translate among executive, business, IT, and stakeholder languages.
• Experience with programming languages such as Python, R, and SQL.
• Understanding of descriptive and inferential statistics (probability distributions, linear regression, Bayesian statistics).
• Knowledge of sampling techniques and their implications for analysis.
• Ability to analyse and report on KPIs across complex data sets.
• Experience creating business value using data & analytics.
• Experience across the full data lifecycle: collecting, analysing, and communicating data.
• Experience applying data science and statistical practices to support data-driven decision making.
• Experience with tools to analyse, manipulate, and visualize datasets.
• Experience working with and influencing business stakeholders.
• Knowledge of machine learning algorithms and data science techniques.

Desirable requirements

• Formal Data & Analytics qualification (e.g., CAP, Azure Data Engineer/Scientist Associate).
• Experience using data and analytics tooling within Microsoft Azure.
• Experience of Data Science technologies within Microsoft Azure.

Why Arden

Arden offers a supportive environment with benefits such as: 30 days holiday + bank holidays, Aviva pension plan, SimplyHealth, private medical insurance (where applicable), access to Perkbox, study Arden courses for free, and other excellent benefits.

Our values are Stand out, Progressive, Accessible, Resourceful, Kindness. If you share these, we want to hear from you.

Closing Date

Closing Date: Sunday 12th October

We reserve the right to close vacancies before the specified date if we receive sufficient applications or for business needs. Please apply early to avoid missing opportunities.

Equity, Diversity & Inclusion

Arden is committed to equality and inclusion. This Disability Confident Employer provides interview guarantees for eligible applicants under the Disability Equality Act 2010. You may indicate eligibility on the application form. We also celebrate diversity and do not discriminate on age, disability, gender, race, religion, sexual orientation, or other personal characteristics. Sponsorship: some roles may not meet visa requirements, but we welcome applicants who may be eligible for visas through alternative routes.