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

Nominate & Attend

Senior Insight Analyst

Place Informatics Ltd
Manchester
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Insight Analyst

Data Science & Insights Specialist - NESO

Senior Data Scientist - Forecasting

Senior Environmental Data Analyst

Senior Data Analyst

Senior Data Analyst

About Place Informatics

Place Informatics are leaders in providing proven scientific analysis of Location Behaviour, Demographics and People, helping clients to minimise risk, understand spend and attract visitors.


By harnessing the power of cutting-edge technologies including artificial intelligence and machine learning, our ‘big data’ solutions are revolutionising the industry. Entrusted with this vital task is a close-knit team of IT developers, statisticians, and visitor insight specialists, who are committed to delivering impeccable services that can be tailored to the unique requirements of our clients.


About the Senior Insight Analyst role

As a Senior Insight Analyst at Place Informatics Ltd, you will play a key role in developing relevant, meaningful and understandable complex client reports, influence the development of our products, researching, and contributing to high-quality location and behaviour data products. You will:

  • Translate complex data analysis into clear business value propositions.
  • Visualize data to communicate insights effectively
  • Engage with clients to understand their business needs and processes
  • Collaborate with Sales and Product Management to design impactful solutions
  • Enhance data products through research, analysis, and innovation
  • Work across teams to provide meaningful data insights for internal teams and clients, supporting location analysis, location strategy, retail planning, and market analysis
  • Build and refine demographic and economic datasets, including footfall estimates, disposable income projections, wealth indices, and affluence models
  • Support junior analysts, mentor and guide them


What experience you’ll need to apply

  • Experience working with demographic, economic, or location data, ideally in an analytical role.
  • Strong data research skills, with the ability to identify and evaluate datasets.
  • Experience with Excel, SQL, Python, PowerBI and similar tools.
  • Strong communication and Customer facing skills, both verbal and written, with the ability to discuss insights clearly with different levels of understanding.


What you’ll get in return

A salary reaching between £40,000 - £60,000, depending on experience, plus a tailored bonus and benefits scheme where you’re rewarded for your impact in the role!


What next?

We have chosen to work with our friends at ADLIB who are managing the recruitment process forPlace Informatics. As a B Corp, they are well versed in attracting the best candidates that have the right skills and experience, combined with the desire to work for a business driven by purpose and a want to make a positive impact on society and the planet.


Please note that any candidates that approach Place Informatics directly will be forwarded to ADLIB for consideration.


Inclusion and equality

Here at Place Informatics, equal opportunity runs through every aspect of the business. We are creating an environment where a diverse mix of talented people want to work, do their best and share in our journey for the long term. We’re building a team that represents a variety of perspectives and backgrounds, as we believe that the more inclusive we are, the better and more innovative our work will be. We strive to be a workplace where everyone feels empowered and can be their authentic selves.

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.