At a Glance
- Tasks: Design and develop data analytics for the Warestack project using Python and AI techniques.
- Company: Birkbeck, a leading institution in Central London with a vibrant academic community.
- Benefits: Competitive salary, 31 days leave, flexible working, and generous pension scheme.
- Other info: Full-time role with excellent career growth opportunities until June 2027.
- Why this job: Join a dynamic team to enhance operational visibility and make impactful decisions.
- Qualifications: Experience in data analysis, Python programming, and familiarity with DevOps practices.
The predicted salary is between 50379 - 50379 £ per year.
Applicants must be available to start on 1 October 2026 and remain available for the full duration of the appointment.
This is a full-time, in-person role based at Birkbeck's Bloomsbury campus.
The successful candidate will be expected to work on site.
Applicants must be available to start on 1 October 2026 and remain available for the full duration of the appointment.
This is a full-time, in-person role based at Birkbeck's Bloomsbury campus.
The successful candidate will be expected to work on site.
Purpose of the Job
To design and develop data analytics capabilities for the Warestack open-source project, focusing on the collection, processing and analysis of operational data generated by software delivery and Dev Ops workflows.
The postholder will work with data from sources including Git Hub Actions, CI/CD pipelines, cloud infrastructure, logs, workflow executions and system events.
They will develop analytics, monitoring capabilities and AI-assisted insights to improve operational visibility, reliability and decision-making.
Main Duties and Responsibilities
- Develop Python-based pipelines to collect, clean, transform and analyse operational data from cloud infrastructure, Git Hub APIs and Dev Ops environments.
- Analyse CI/CD workflows to identify performance trends, bottlenecks, anomalies and recurring failures.
- Apply machine-learning, large language models and other AI techniques to log analysis, root-cause investigation and operational recommendations.
Support the development, testing, deployment and monitoring of reliable analytics services using Dev Ops practices.
Contract
This role is offered on a fixed-term basis until 30 June 2027.
This is a full-time, working 35 hours per week.
Interviews will be held on 23 September 2026.
Salary and benefits
Grade 7 of the College's London Pay Scale which is £44,247 rising to £50,379 per annum.
Birkbeck offers a competitive salary and pension scheme, 31 days paid leave, flexible working arrangements and some of the most generous benefits in the HE sector, all while being located right in the heart of Central London.
The salary quoted is on the College's London Pay Scale which includes a consolidated Weighting/Allowance which applies only to staff whose normal contractual place of work is in the London area.
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Data Scientist employer: Birkbeck, University of London
Birkbeck, University of London is an exceptional employer that values its staff and fosters a supportive work culture, particularly in the hybrid and part-time Senior Student Casework Lead role. With a strong commitment to employee development, you will have access to numerous growth opportunities while working in a vibrant academic environment that prioritises student welfare and engagement. The university's location in the heart of London offers unique advantages, including cultural diversity and access to a wealth of resources, making it an ideal place for meaningful and rewarding employment.
Contact Details:
Birkbeck, University of London Recruitment Team
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