National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Performance & Data Analyst

Metropolitan Thames Valley
Nottingham
2 weeks ago
Create job alert


Please note :- we do not currently offer visa sponsorship.


What’s in it for you?


Our benefits include:-



  • 28 days annual leave plus 8 bank holidays (pro rata for part time) per year
  • 2 volunteering days per year for things like helping out in local communities
  • An additional ‘Beliefs day’ once a year to have an extra a day off
  • Supported family friendly approach with extended parental leave
  • Enhanced pension with matched contributions of up to 9%
  • Option to buy or sell up to 5 days annual leave per year
  • Life assurance cover 3 x your salary
  • Cycle2work scheme
  • Hybrid Working - Dependent on job role and department
  • Health cash plan scheme for your everyday healthcare needs which you can add your family members too
  • Tenancy deposit – interest free loan to help with rental deposits and season Ticket loan
  • Access to extensive learning and training opportunities with Wisebox platform
  • Colleague virtual social platform with our workplace pages where you can keep up to date with the organisational activity and link in with colleagues
  • Career progression across the organisation with our mentoring/coaching programmes, apprenticeships and career planning support
  • Employee Assistance Programme- We are committed to the wellbeing of our colleagues and support this as an organisation


About us


We are committed to developing and implementing or maintaining sustainability initiatives to reduce environmental impact and promote sustainable practices within MTVH.


Learn more about our benefits and organisation by viewing our attached document


Our promise


Here at Metropolitan Thames Valley Housing (MTVH) we want to capture the value that difference brings and are committed to promoting equality, diversity and inclusion. We work collaboratively ‘Serving people better every day’ to educate, support and develop all of our diverse employees and the communities that we serve. We are also part of the disability confident employer scheme.


We want every employee and every customer to feel comfortable enough to be their true self and are working tirelessly in the background to create an environment that encourages our employees to challenge non-inclusive behaviours and to be mindful of their own and other’s wellbeing.


We provide a platform of Network groups for employees to share views, tell us what we’re doing well and recommend improvements. We want to create a real sense of community and a workforce who feel that their opinions are valued. Our Networks groups are:-



  • Gender
  • Ethnicity
  • LGBTQ+
  • Disability


Our core values of Dare, Care and Collaborate demonstrate that we are a people focused business, solving social issues by working together!


We reserve the right to close this vacancy early if a suitable candidate is found so we do encourage you to complete the application as soon as possible to avoid disappointment.


Related Jobs

View all jobs

Senior Performance & Data Analyst

Senior Data Analyst

Senior Product Data Analyst

Senior Safety Specialist (Data Analyst)

Senior Marketing Data Analyst

Senior Data Analyst

National AI Awards 2025

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.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.