Data Analyst

Metropolitan Police
London
2 days ago
Create job alert

Data Analyst x2 FTC until March 2026 with expectation of 12-month extension


Salary:The pro-rata starting salary is £53,459, which includes allowances totalling £2,928.

The salary is broken down as £50,531 basic salary, which will increase annually until you reach the top of the scale - £55,103. Plus, a location allowance of £1,928 and a non-pensionable allowance of £1,000.


Location / Hybrid Working:

This role can be based in either Sidcup, Hendon or Bow but there may be a need for you to attend offsite meetings as required by the business. We actively support hybrid working solutions, with the expectation that you will have 2 days working at home.


The Role:

This is your chance to build something from the ground up – and make a national impact.

County Lines is one of the most serious and damaging criminal threats in the UK today – involving the exploitation of children and vulnerable adults, fuelling violence, and stretching across regional and national borders.


We’re building a new data capability to fight back.

These two brand-new Data Analyst roles are your opportunity to shape how the National County Lines Coordination Centre (NCLCC) uses data to target harm, safeguard victims, and inform national policing strategy.


Working within a matrix environment, you’ll sit within the Met’s wider Digital, Data and Technology (DDaT) team but work day-to-day under the direction of the County Lines senior leadership.


We’re looking for analysts who won’t wait to be told what data is needed — you’ll spot the gaps, build the models, and surface insights proactively. You’ll be expected to work autonomously, shape your own priorities, and identify what analysis is needed before others realise it.


From building performance dashboards and national threat assessments to creating intelligence-led products that drive enforcement and safeguarding decisions, your work will directly affect how the UK tackles County Lines networks.


What we can offer:

  • Hybrid working arrangements for a healthy work-life balance
  • 28 days annual leave (excluding public holidays), rising to 33 days after 5 years continuous service
  • Personal and professional development opportunities
  • Enrolment with the Met’s employee incentive partner, Edenred, giving access to a range of rewards and incentives
  • Access to a range of financial products via the Metropolitan Police Trading Service, including preferred credit facilities
  • Generous family leave for pregnancy, adoption, paternity and shared parental leave
  • Childcare support including nursery and play scheme discounts
  • Excellent contributory pension scheme for your financial future
  • Access to the Bluelight Emergency Services discount card with a range of official discounts from large national retailers to local businesses including holidays, cars, days out, fashion, gifts, insurance, phones and much more
  • A substantial range of health and wellbeing benefits including physiotherapy, 24/7 rehabilitation services and free eye tests
  • To promote physical well-being you will have full access to subsidised sports centre membership to over 3,000 UK gyms and 80 London Fitness Centres. There is also an excellent range of sporting activities on offer through the various Met Police Sports and Social Clubs.


What you will be doing

This Role Isn’t Just About Reporting – It’s About Leading with Data

  • Build and manage new data pipelines and dashboards from national systems like PND and APMIS
  • Develop analytics that help answer urgent questions: Are interventions reducing harm? Where is exploitation spiking?
  • Design and deliver new performance reports to support NCLCC strategy and Home Office accountability
  • Create clear, impactful visuals and briefings for senior policing and government partners
  • Work independently but collaboratively – owning your roadmap, yet sharing and evolving ideas with the wider DDaT analyst community
  • Help set the foundations of a new capability: what you build now will shape this function for years to come


Essential skills:

  • You have a solid background in data analysis, ideally from a STEM degree or equivalent experience
  • You’re fluent in SQL, Excel, and Power BI or Tableau – and confident working with large, often messy datasets
  • You’re comfortable with ambiguity and excited by the opportunity to define your own workload
  • You’ve got strong judgement and know how to prioritise what’s urgent, important – or both
  • You can communicate complex ideas to both technical and non-technical audiences
  • Ideally, you’ve worked with government, law enforcement, or in another high-stakes data environment
  • Familiarity with Azure, POLE databases, or Python is a plus


Security Clearance:

Due to the secure nature of our work, successful candidates must pass all vetting and security requirements, which for this role means Vetting Clearance is Force Clearance Level, Recruitment Vetting (RV), and National Security Vetting (NSV) Level, Counter Terrorism Check (CTC).


Mets Vetting process and charter:

https://www.met.police.uk/police-forces/metropolitan-police/areas/c/careers/vetting/


More details relating to UK Security Clearance can be found here:https://www.gov.uk/government/collections/national-security-vetting


We view diversity as fundamental to our success. To tackle today’s complex policing challenges, we welcome applications from all of our London communities.

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

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.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.