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Data Scientist

University of Exeter - Digital

Location: Devon, Exeter, South West England, University of Exeter, Hybrid
Salary: From £41,732 on Grade F, depending on qualifications and experience
Hours: Full Time
Contract Type: Permanent
Placed On: 3rd May 2024
Closes: 16th May 2024
Job Ref: P92701

Faculty/Service: Professional services - Digital

Hybrid working – This is a hybrid role that offers flexible working between home and our Streatham Campus.

The Digital Transformation team are looking to recruit a data scientist with expertise who specialises in extracting valuable insights from large and complex datasets, using a combination of data analysis, machine learning, and statistical techniques. This is a new job role within an evolving data function to working on delivering the University’s Enterprise Data Programme focused on providing a centralised data capability including:

  • Clear data governance, ownership, and stewardship.
  • Expert support to data consumers through increased data analysis and literacy skills.
  • Rapid access to disparate data.
  • New data insights tools and techniques.

What you’ll be doing…

  • Conduct comprehensive data analysis, including collection, cleaning, exploration, and transformation.
  • Extract actionable insights to inform decision-making at all levels.
  • Develop predictive models to enhance student engagement, resource allocation, and administrative processes.
  • Utilise advanced statistical methods to uncover correlations and dependencies.
  • Apply diverse machine learning techniques to solve complex problems.
  • Create compelling data visualizations to communicate findings effectively.
  • Establish and enforce data quality standards for reliability.
  • Collaborate with teams to maintain robust data pipelines.
  • Support stakeholders across the university with the articulation of business questions and defining relevant approaches/datasets for data analysis.
  • Provide statistical guidance and articulate the benefits of AI and data science.
  • Stay updated with advancements in the field.

Just some of the benefits that come with this role include

  • Substantial annual leave allowance ✈ (33 days + bank holidays).
  • Fantastic full USS pension scheme 💰
  • Flexible working opportunities 🏡
  • Great Relocation package (if eligible).
  • Access to the latest technologies and platforms 👩‍💻
  • Excellent personal and professional development opportunities 🤸‍♀️
  • Loads of discounts at leading retailers including 10% off everything at the Co-op! 🤩
  • Onsite discounted gyms on all of our campuses 💪
  • Sustainable travel initiative by enjoying a 10% discount on bus passes, cycle to work scheme and taking advantage of car sharing incentives.
  • Sector leading policies around maternity, adoption and shared parental leave 💕
  • Stunning campus locations in Exeter and Cornwall 💚

We’re really looking for…

  • Someone to conduct thorough data analysis, including cleaning and transformation.
  • Develop predictive models to enhance decision-making and operational efficiency.
  • Utilise advanced statistical methods and machine learning techniques.
  • Create clear data visualizations for diverse stakeholders.
  • Establish and enforce data quality standards.
  • Collaborate with stakeholders to develop data-driven insights.
  • Proficiency in Python or R and data visualization tools.
  • Strong communication skills for conveying findings to non-technical stakeholders.
  • Flexibility and proactive problem-solving attitude in a dynamic environment.
  • Familiarity with big data technologies and data privacy best practices.
  • Willingness to work additional hours as needed.
  • We’re here to innovate and transform the face of higher education so we need people who want to bring new ideas to the table.

For more information on this job role and to apply please click the "Apply" link above.

The starting salary will be from £41,732 on Grade F depending on qualifications and experience. All applications must be made via our website. The closing date for this role will be the 16th of May 2024.

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