Drive Data Analyst

SAFELIVES
Bristol
4 weeks ago
Applications closed

Related Jobs

View all jobs

Lead Data Analyst

Senior Data Analyst

Lead Data Analyst

Graduate Data Analyst - Manchester

Finance Data Analyst

Data Analyst

About SafeLives

We are SafeLives, the UK-wide charity dedicated to ending domestic abuse, for everyone and for good.    

Last year alone, 14,000 professionals received our training. Over 80,000 adults at risk of serious harm or murder and more than 100,000 children received support through dedicated multi-agency support designed by us and delivered with partners. In the last six years, over 4,000 perpetrators have been challenged and supported to change by interventions we created with partners, and that’s just the start. 

Together we can end domestic abuse. Forever. For everyone.

About the role

This role is an exciting opportunity to help transform the response to domestic abuse by ensuring the sector is evidence led. SafeLives holds the largest datasets on victims and perpetrators of domestic abuse nationally which you will use to inform our ambitious policy and research agenda. Working alongside our practice experts, survivors of abuse, and our expert research team, you will help to answer important questions about what works in ending domestic abuse.

This Data Analyst position will primarily work within the Drive programme team. They will be responsible for working with and supporting the Senior Data Analyst and Data Team Manager to develop and deliver rigorous, sector leading data, analysis, and recommendations. Working closely with the Drive Practice, National Systems Change and Restart teams, this role will primarily focus on data collection, quality assurance, management and reporting through the Drive Case Management Systems.

Hours: Full-time, 37.5 hours per week.

Contract: Fixed term contract until June 2027 (with the possibility of an extension).

Location: Bristol based with some travel across the UK.

About the Drive Partnership

The Drive Partnership is a partnership between Respect, SafeLives and Social Finance. We came together in 2015 around a shared ambition to change the way statutory and voluntary agencies respond to high-harm, high-risk perpetrators of domestic violence and abuse. Today, we are still working together to transform the national response to perpetrators of domestic abuse. The Drive partners provide ongoing governance and leadership for all of our work through a joint project board.

The Drive Project

The Drive Project is our flagship intervention working with those causing harm in their relationships to prevent abusive behaviour and protect victim-survivors. Service users have been assessed as posing a high-risk, high-harm level of domestic abuse to the people that they are in intimate or family relationships with. They also often have multiple needs and are resistant to change. The Drive Project has an intensive case management approach that challenges service users to change and works with partner agencies – like the police and social services – to disrupt abuse.

Benefits

  • 34 days' holiday incl. public holidays
  • Flexible working e.g. compressed hours
  • Cycle to work scheme
  • Eye care vouchers
  • Pension scheme with 4% employer contribution
  • Childcare vouchers
  • Employee assistance programme
  • Clinical supervision
  • Holiday purchase scheme to buy up to an additional 5 days
  • Enhanced family leave policies
  • Enhanced sick pay
  • Professional development fund
  • Individual learning budget
  • Restorative practice training
  • Time off in lieu 

If this challenge sounds as exciting to you as it does to us and you believe you have the qualities we have described, please take a look over the job description and submit a 500-word cover letter and CV.

Closing date: 28 May 2025.

SafeLives is a committed provider of equal opportunities for all; please see our job description for full details.

No agencies, please.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.