JOB TITLE: Data Scientist
Salary: £48,000-£53,000
Business Function/Sub-function: Data and Information
Location: London, Birmingham, Manchester, Leeds
Please note this role is not eligible for visa sponsorship.
Role Purpose The Data Scientist with significant expertise who will support the reporting and data-led decision-making for student and staff data. You will have experience in using techniques such as machine learning and artificial intelligence to build powerful data products that enhance decision-making throughout our organisation. You will use your business acumen to understand our sector and business goals and discover opportunities where data science can have a positive impact. As a great communicator, you’ll translate complex scientific and statistical techniques into compelling visions for organisational improvement. As a data scientist, you’ll develop high-quality code and algorithms within GBS’s data and analytics platform. You’ll integrate them into business processes and day-to-day decision making.
ROLE AND RESPONSIBILITIES
- Work closely with stakeholders within our university to understand their objectives. Use your expertise to identify opportunities where data science approaches can support our organisation.
- Use a scientific approach to solve challenges that face GBS. Provide scientific data products to improve student outcomes, the student experience, and operational efficiency.
- Build and fine-tune machine learning models. Adopt a culture of continuous improvement measuring and improving results through evaluation of the effectiveness of the models.
- Effectively communicate findings to a range of stakeholders, including providing actionable insights that drive decision-making.
- Work closely with the Data Quality Manager and system owners to ensure the data is accurate and timely.
- Adhere to our information security policies and ensure that you protect the use of our data within your algorithms.
ESSENTIAL SKILLS AND EXPERIENCE
- Experience delivering data-science solutions for large data sets.
- Experience in programming language such as Python, R and SQL.
- A strong understanding of Data Science techniques, including ML algorithms and statistical methods.
- Proficient in building ML pipelines with Python.
- A knowledge of sampling techniques and their implications for analysis.
- Drives and encourages the practice of continuous improvement and organisational change; positively embraces change and draws out new ideas, opportunities, and solutions.
- Ability to analyse and report on key performance indicators across complex and disparate data sets.
- Demonstrated experience in creating business value using data & analytics.
- An enthusiasm for engaging with non-technical stakeholders and establishing best practice processes.
KEY RESULT AREAS
- Stakeholder Engagement & Requirements Gathering
- High stakeholder satisfaction from business units (registry, IT, Academic Services).
- Clear and validated requirements.
- Knowledge Transfer & Documentation
- Comprehensive technical documentation delivered for all designed components.
- Data Quality & Data Security
- Proactive identification and mitigation of technical and compliance risks.
- No major security incidents linked to architectural design.
- Adherence to data protection best practices and institutional IT policies.
OTHER INFORMATION
The Data Scientist will also be expected to demonstrate their commitment:
- to GBS values and regulations, including equal opportunities policy.
- to GBS’s Social, Economic and Environmental responsibilities and minimise environmental impact in the performance of the role and actively contribute to the delivery of GBS’s Environmental Policy.
- to their Health and Safety responsibilities to ensure their contribution to a safe and secure working environment for staff, students, and other visitors to the campus.
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned.
