About us
The Lucy Faithfull Foundation (LFF) is a UK-wide charity that exists to prevent child sexual abuse and exploitation. We’re here for everyone who needs us. We protect children by working with people who pose a risk and diverting them from causing harm. We support individuals and families who have been affected by abuse. And we help professionals who work with families to create safer environments for children through delivering risk assessments, interventions, training and consultancy.
About the role and you
We are looking for a data professional to support and manage significant changes in the way our charity uses, processes and manages data. Our teams pride themselves on evidence-informed practice, using research and data to enhance their work at every stage. There are elements of our charity’s work which are unique to our field, making our data highly valuable in contributing to the future of preventing child sexual abuse. As part of our new Tech and Data Strategy, we are taking the next stage in our use of data analysis and data science, ensuring that we use our data more effectively and efficiently to support our teams in preventing child sexual abuse.
We are looking for a Data Scientist/Analyst to help us make this change. You will be based in the LFF Research Team, reporting to our Director of Research and Impact.
This role will facilitate better use, processing and management of data across the organisation. It will focus on four areas:
- Data systems and structures
- Data analysis
- Data visualisation
- Data security and compliance
The postholder will work alongside experienced researchers to develop a new portfolio of priority projects to enhance our work. With no fixed task list or assigned service, this role offers the freedom to explore and innovate, identifying where data, data science, and data systems can drive real change.
This role will be remote or hybrid - we have offices in Bromsgrove, Epsom and Edinburgh.
For a more detailed job description, please download a job pack from our website here: **https://www.lucyfaithfull.org.uk/careers/data-scientist-analyst/
What you’ll get from us**
We offer the following benefits:
- Hybrid working (with a minimum of 2 days in the office per week; we ask for 3 days in the office per week for the first month)
- NEST pension
- 33 days’ annual leave rising to 38 days (inclusive of statutory bank holidays following qualifying period)
- Up to 5 days’ learning and development per year
- Flu jabs & eye tests
- Season ticket loans
- Charity discounts
- Employee assistance programme
- Option of private healthcare with Benenden
How to apply
We really welcome informal conversations with prospective candidates about the role and the charity in advance of the deadline.
To apply, please download a job pack from our website here: https://www.lucyfaithfull.org.uk/careers/data-scientist-analyst/ and return your completed documents by 10th February 2026 to [email protected].
Stage 1 interviews are scheduled to take place on 25th and 27th February 2026 and stage 2 interviews are scheduled to take place on 5th March 2026 for shortlisted candidates.
If you have not been contacted within 2 weeks of the closing date you have been unsuccessful with your application. Please note the successful candidate will be required to undergo a DBS check for this position.
**Please avoid using AI generated responses as these will automatically be discarded – we want to hear from the real you. Please note that only applications with all sections completed will be reviewed during shortlisting.
Previous applicants for this role need not reapply.**
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Job Types: Full-time, Fixed term contract
Contract length: 36 months
Pay: £35,000.00 per year
Benefits:
- Company pension
- Free flu jabs
- On-site parking
- Private medical insurance
- Sick pay
- Work from home
Application question(s):
- Do you have a degree, professional qualification or relevant experience related to data analysis or data science?
- Do you have experience analysing large datasets within research projects and/or organisations?
Education:
- Certificate of Higher Education (preferred)
Experience:
- Data analytics: 2 years (preferred)
Work authorisation:
- United Kingdom (required)
Work Location: Hybrid remote in Bromsgrove B60 4DJ