Research Data Scientist / Research Software Engineer
Join a collaborative team at the Alan Turing Institute to transform cutting-edge research into high-impact, reproducible software solutions.
Best for:Best for software-proficient researchers with a strong background in data science, statistical methods, and a passion for reproducible research practices.
Overview
The Alan Turing Institute is seeking skilled Research Data Scientists and Research Software Engineers to join its Research Engineering Group. This role focuses on bridging the gap between theoretical data science research and real-world application by developing robust, professional-grade software tools. You will collaborate with diverse research teams to implement novel AI and data science techniques, ensuring that outputs are reliable, reproducible, and scalable. The position offers a unique opportunity to work with high-performance computing infrastructure while contributing to the Institute's broader research ambitions. Successful candidates will be expected to communicate complex technical findings to both academic and client-facing audiences.
What you'll do
- Apply state-of-the-art data science and AI techniques to solve complex client problems.
- Develop and maintain high-quality, well-tested software that embodies research outputs.
- Manage, structure, and visualize research data to support computational experiments.
- Disseminate research findings through technical reports, presentations, and open-source software packages.
- Collaborate with multidisciplinary teams to ensure software reliability and reproducibility.
- Contribute to the Institute's community and support its broader research goals.
Requirements
Degree required: Relevant industry or academic experience (e.g., pursuing or holding a PhD) in a field utilizing computer programming and advanced statistical methods.
Language: English (fluent)
Instruction: English
- Fluency in one or more modern programming languages used in data science and AI.
- Proficiency in software development best practices including version control, automated testing, and issue tracking.
- Experience with literate analysis tools such as Jupyter or Rmarkdown.
- Strong ability to manage and analyze research data.
- Excellent written and verbal communication skills for technical reporting and presentations.
- Ability to work independently and collaboratively within a team.
- Open to candidates with relevant industry or academic experience.
Funding & terms
How to apply
Deadline: 2026-10-14
Interested candidates should apply through the official Alan Turing Institute careers portal. Please ensure you review the full job description on the portal before submitting your application.
- CV
- Cover letter
Contact
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