National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Junior Data Scientist

The University of Sheffield
Sheffield
1 week ago
Create job alert

The University of Sheffield is a remarkable place to work. Our people are at the heart of everything we do. Their diverse backgrounds, abilities and beliefs make Sheffield a world-class university.

We offer a fantastic range of benefits including a highly competitive annual leave entitlement (with the ability to purchase more), a generous pensions scheme, flexible working opportunities, a commitment to your development and wellbeing, a wide range of retail discounts, and much more. Find out more about our benefits (opens in a new window) and join us to become part of something special.

Overview

Data Connect, a service within the University's Research and Innovation IT team, is seeking an enthusiastic Data Scientist to contribute to the development and delivery of multiple health data assets. Data Connect works closely with stakeholders across our region including the South Yorkshire Integrated Care Board (ICB) and the Yorkshire and Humber Secure Data Environment. Together we are working to make both regional and national health and social care data available to researchers via our developing ISO27001, NHS DSPT and SDE accredited platform.

As a Junior Data Scientist within Data Connect, You will help support a steady stream of project requests from researchers requesting health and social care data extracts and work on a range of technical deliverables that span the ‘data for research’ lifecycle. You will collaborate with our team of Data Scientists and Data Managers to develop secure data pipelines, process and curate research datasets, maintain and refresh the data assets. You will also provide essential support to researchers throughout the data for research lifecycle, from feasibility assessments to data delivery.

You will be working as part of a wider team that includes Project, Product and Delivery Managers, Engineers and Data Managers. By joining our dynamic team, you will have the opportunity to work with leading experts in the field and contribute to groundbreaking research that directly impacts people's lives.

Main Duties And Responsibilities

The Junior Data Scientist will work closely with the Data specialists in Data Connect to help with the delivery of health data extract requests and critical data updates, ensuring timely and accurate execution. Your role will involve helping troubleshoot technical challenges, providing support and guidance, and proactively identifying solutions to optimise data workflow performance and accessibility. Key responsibilities include:

Assisting cleaning, linking, curation and processing of healthcare datasets.
Supporting the development of data pipelines to provide approved researchers access to healthcare data extracts.
Providing support to a range of programmes, including the ICB and the Yorkshire & Humber Secure Data Environment
Monitoring and communicating progress, issues and blockers on current work with the Data Technical Lead and Data Connect project manager.
Supporting the building of effective processes and data pipelines for projects to ensure best practice and reproducibility of the data processing tasks and where necessary identify and assess alternative solutions to ensure project objectives are met.
Assessing, providing and assuring appropriate technical security controls for the data managed within Secure data Environments (SDEs)
Assisting with technical guidance and support for the team
Provide support for approved researchers, including validating data, spinning up virtual machines for research groups and enabling access to the relevant data as appropriate, providing support for researchers using the environment and dealing with any data, access or environment issues that arise.
Assisting with technical support to improve the findability of data, providing metadata for datasets maintained within the Secure Data Environment.
Be an active member of the team taking on data management tasks as required
Carry out other duties, commensurate with the grade and remit of the post.

As a member of the Research and Innovation team with IT Services, the role will also require engagement with activities to share skills, knowledge and experience more widely to improve how we work together to meet the strategic objective of the University as a whole.

Person Specification

Our diverse community of staff and students recognises the unique abilities, backgrounds, and beliefs of all. We foster a culture where everyone feels they belong and are respected. Even if your past experience doesn't match perfectly with this role's criteria, your contribution is valuable, and we encourage you to apply. Please ensure that you reference the application criteria in the application statement when you apply.

Essential criteria

Database querying and management skills to curate data in line with complex specifications using using query languages such as SQL (Application / Interview)
Experience in data cleaning and linkage of datasets in a programming language (R or Python) (Application / Interview / Task)
Software development skills and ability to demonstrate good practice and have experience with a programming language (for example, Python) (Application / Interview / Task)
Excellent written and verbal communication skills in order to communicate clearly and confidently with senior data team members and researchers (in the NHS and elsewhere) (Application / Interview / Task)
An understanding of how to handle sensitive data, in line with data governance processes and data standards (Application / Interview / Task)

Desirable criteria

Experience in using a version control system (for example, Git) (Application / Interview / Task)

Further Information

Grade:

6

Salary:

£31,637- £36,130 per annum

Work arrangement:

Full-time

Duration:

Fixed-term until 31 March 2026

Line manager:

Data Scientist

Direct reports:

None

Our website:

https://www.sheffield.ac.uk/it-services/about (opens in new window)

For informal enquiries about this job contact Kate O’Sullivan on

Next steps in the recruitment process

It is anticipated that the selection process will consist of an interview and technical test with a chance to meet the existing team. We plan to let candidates know if they have progressed to the selection stage at least a week before interviews. If you need any support, equipment or adjustments to enable you to participate in any element of the recruitment process you can contact

Our vision and strategic plan

We are the University of Sheffield. This is our vision: sheffield.ac.uk/vision (opens in new window).

What We Offer

A minimum of 38 days annual leave including bank holiday and closure days (pro rata) with the ability to purchase more.
Flexible working opportunities, including hybrid working for some roles.
Generous pension scheme.
A wide range of discounts and rewards on shopping, eating out and travel.
A variety of staff networks, providing opportunities for social interaction, peer support and personal development (for example, Race Equality, LGBT+, Women’s and Parent’s networks).
Recognition Awards to reward staff who go above and beyond in their role.
A commitment to your development access to learning and mentoring schemes; integrated with our Professional Services Shared Skills Framework A range of generous family-friendly policies
paid time off for parenting and caring emergencies
support for those going through the menopause
paid time off and support for fertility treatment
and more

More details can be found on our benefits page: sheffield.ac.uk/jobs/benefits (opens in a new window).

We are a Disability Confident Employer. If you have a disability and meet the essential criteria for this job you will be invited to take part in the next stage of the selection process.

Criminal record

A

basic

DBS check will be needed for this role. More details on the checks can be found on the Government website: gov.uk/criminal-record-checks-apply-role (opens in a new window).

Possession of a criminal record is not an automatic bar to employment at the University of Sheffield. We recognise the value of steady employment in the rehabilitation process and examine each case in its own right. More information can be found on our Information for candidates page:- sheffield.ac.uk/jobs/candidates (opens in a new window).

We are a research university with a global reputation for excellence. Our ideas and expertise change the world for the better, making a real difference to society. We know that when people come together with different views, approaches and insights it can lead to richer, more creative and innovative teaching and research and the highest levels of student experience. Our University Vision (www.sheffield.ac.uk/vision) outlines our commitment to building a diverse community of staff and students that recognises and values the abilities, backgrounds, beliefs and ways of living for everyone.
#J-18808-Ljbffr

Related Jobs

View all jobs

Head of VitalityLife Data Science

Associate, Data Science Analyst – Global Oil Markets (Hybrid - 3/2 Work Schedule)

Data Science and Machine Learning Manager

Data Science Manager

Data Science Manager

Data Science Manager

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.