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Data Scientist

Job in Epsom, Surrey County, KT17, England, UK
Listing for: Hirenza
Full Time position
Listed on 2026-01-28
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Science Manager
Job Description & How to Apply Below

About The Company

The Lucy Faithfull Foundation (LFF) is a UK‑wide charity dedicated to preventing child sexual abuse and exploitation. Our mission is rooted in protecting children and supporting those affected by abuse through innovative research, evidence‑based interventions, and community engagement. We work proactively with individuals who pose a risk, aiming to divert them from causing harm, while also providing vital support to victims and their families.

Our organization collaborates with professionals across various sectors, offering training, risk assessments, consultancy, and tailored interventions to foster safer environments for children and young people. As a leader in this sensitive field, we are committed to making a tangible difference through our comprehensive approach and unwavering dedication to safeguarding children across the UK.

About

The Role

We are seeking a skilled Data Scientist/Analyst to join our dynamic Research Team and support the organization’s strategic transformation in data management and utilization. This pivotal role involves leading efforts to enhance how our charity processes, analyzes, visualizes, and secures data, aligning with our new Tech and Data Strategy. The successful candidate will work closely with experienced researchers and impact specialists to develop innovative projects that leverage data science to advance our mission.

The role offers a unique opportunity to influence the future of child safeguarding by harnessing the power of data in a meaningful and impactful way. The position is flexible, with options for remote or hybrid working, and can be based in our offices located in Bromsgrove, Epsom, or Edinburgh. The role is designed to be exploratory and innovative, providing the freedom to identify new ways where data can drive change and improve outcomes for vulnerable children and families.

Reporting directly to the Director of Research and Impact, the Data Scientist/Analyst will play a key role in shaping the organization’s data‑driven initiatives, focusing on four core areas: data systems and structures, data analysis, data visualisation, and data security and compliance. This role is ideal for a proactive, analytical thinker with a passion for leveraging data to create positive social impact.

The successful candidate will be instrumental in transforming our data capabilities, supporting evidence‑informed practice, and ensuring our data processes uphold the highest standards of security and ethical compliance.

Qualifications

The ideal candidate will possess a strong academic background in data science, statistics, computer science, or a related field. Proven experience in data analysis, data management, and visualisation tools such as SQL, Python, R, Tableau, or Power BI is essential. Familiarity with data security standards and GDPR compliance is required to ensure ethical handling of sensitive information. Experience working within the charity or public sector, particularly in safeguarding or social services, is highly advantageous but not mandatory.

Strong problem‑solving skills, the ability to communicate complex data insights clearly, and a collaborative mindset are critical for success in this role. A proactive approach to exploring new data methodologies and a commitment to continuous learning are highly valued.

Responsibilities
  • Develop and maintain robust data systems and structures that support the organization’s operational and strategic needs.
  • Analyze complex datasets to generate insights that inform decision‑making and improve service delivery.
  • Create engaging and informative data visualisations to communicate findings effectively to non‑technical stakeholders.
  • Ensure data security, privacy, and compliance with relevant legislation, including GDPR, across all data activities.
  • Collaborate with research and impact teams to identify priority projects where data science can add value.
  • Support the implementation of new data tools and technologies, providing training and guidance to staff as needed.
  • Monitor data quality and integrity, implementing improvements to enhance accuracy and reliability.
  • Stay updated on emerging trends and best…
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