Data Scientists

Arden University is an aspirational, 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 that everyone, everywhere can access higher education. There has never been a more exciting time to join Arden University as we expand into new disciplines, forge worldwide partnerships, and expand our locations.

Salary: £38,000 per annum

Employment type: Permanent

Reporting into: Principal Data Analyst

Department: Analysis, Insights & Performance

This role is primarily remote with little to no travel required to Arden locations. The company notes that working model arrangements are a non-contractual benefit and an Arden location may be added to employment contracts.

We are an aspirational and multi-award-winning university focused on innovation and digital education. Our aim is to enable access to higher education for everyone, everywhere, and to be the first-choice university for career-focused lifelong learners.

We are expanding into new disciplines, forging worldwide partnerships, and growing our locations.

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 to build data products that enhance decision making across our organisation. You will translate complex scientific and statistical concepts into actionable business improvements and develop high-quality code and algorithms within Arden’s data and analytics platform, integrating them into business processes and day-to-day decision making.

This is an exciting opportunity for recent graduates, junior scientists seeking the next step, or experienced candidates seeking a change.

• 
  
• Proven data literacy — the ability to translate between executive, business, IT, and stakeholder languages
  
• Experience with Python, R, and SQL
  
• Understanding of descriptive and inferential statistics (e.g., probability distributions, linear regression, Bayesian statistics)
  
• Knowledge of sampling techniques and their implications for analysis
  
• Ability to analyse and report on key performance indicators across complex data sets
  
• Demonstrated experience creating business value using data & analytics
  
• Experience across the full data lifecycle: collecting, analysing, and communicating data
  
• Experience applying data science practices to support data-driven decision making
  
• Experience with data analysis, manipulation, and visualization tools
  
• Experience working with and influencing business stakeholders
  
• Knowledge of machine learning algorithms and data science techniques
  

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

• 
  
• 30 days holiday + bank holidays on top
  
• Generous Aviva pension plan with company contributions starting from 7%
  
• SimplyHealth plan option
  
• Private Medical Insurance (applies to some roles)
  
• Access to Perkbox benefits
  
• Study Arden courses for free, with a discount for family and friends
  
• Plus other excellent benefits
  
• Golden Ticket: gift Arden education to someone in your life
  

Stand out, Progressive, Accessible, Resourceful, Kindness — these reflect Arden’s identity and what we value in our people. If you share these values and are excited to contribute to a growing business, we want to hear from you.

Closing Date: Sunday 12 October

We reserve the right to close the vacancy earlier if sufficient applications are received or to respond to business needs. Please apply as early as possible to avoid missing an opportunity.

Arden University is proud to be a Disability Confident Employer. If you have a disability, you may be guaranteed an interview if you meet the essential criteria for the role. You may indicate this on the application form and consent for the information to be shared with the hiring team. For more details on what qualifies as a disability under the Equality Act 2010, refer to the guidance here.

As an Equal Opportunity Employer, we celebrate diversity and are committed to a diverse and inclusive workplace. Our recruitment processes do not discriminate based on age, disability, gender, race or ethnicity, religion or belief, sexual orientation, or other personal circumstances, and we welcome applications from all groups.

Sponsorship statement: Some roles may not meet the points requirement for a sponsored Skilled Worker visa. We welcome applications from candidates who may be eligible for visa relief through alternative routes.