Data Scientist

Hirenza
Bromsgrove
2 days ago
Create job alert
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 practices in data science and safeguarding to continually advance our capabilities.

Benefits

We offer a comprehensive benefits package designed to support your well‑being and professional development. This includes hybrid working arrangements, with a minimum of two days in the office per week, and flexibility to work remotely as appropriate. Our pension scheme is provided through NEST, and employees accrue 33 days of annual leave, increasing to 38 days after the qualifying period, inclusive of statutory holidays. We also support your ongoing learning with up to five days per year dedicated to professional development activities. Additional benefits include flu vaccinations, eye tests, season ticket loans, access to charity discounts, an employee assistance programme, and the option to enroll in private healthcare with Benenden. We are committed to fostering a supportive and inclusive work environment where every team member can thrive and contribute meaningfully to our mission.


Equal Opportunity

The Lucy Faithfull Foundation is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace where all employees are valued and respected. We welcome applications from individuals of all backgrounds, regardless of race, gender, age, disability, sexual orientation, religion, or any other characteristic protected by law. We believe that a diverse team enhances our ability to deliver impactful work and better serve the communities we support. We encourage candidates who share our commitment to safeguarding children and upholding equality and diversity principles to apply.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - New

Data Scientist - Imaging - Remote - Outside IR35

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.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.