Assistant Manager - Research & Analytics Insights

KPMG UK
Newcastle upon Tyne
1 month ago
Applications closed

Related Jobs

View all jobs

Reserves Officer (Solent)

Accounts Assistant

Data Science Analyst

Senior Machine Learning Engineer - Generative AI London

Data Science Analyst

Data Manager

Job details

Location:Any UK, within occasional commuting distance from London, Leeds, or Edinburgh

Capability:Consulting

Experience Level:Associate/Assistant Manager

Type:Full Time

Service Line:Customer, Ops & Infr

Contract type:Permanent


The Customer & Operations advisory team in KPMG is at the heart of delivering innovative and large-scale customer-centric transformation programmes across all market and industry segments to help our clients reinvent their businesses for the digital age.

The Insight team sits within Customer & Operations and focuses on the transformation of Customer Insight functions.

Our programmes run deep inside organisations. We enable the development of innovative new products and services and help our clients transform into customer-centric, cost-efficient businesses. Successful candidates will work collaboratively with cross functional internal colleagues within the team and co-design solutions with broader KPMG teams and skills.


About the role

As an Assistant Manager within the Customer team, and specifically the Insight pod, the candidate will be responsible for:

  • Shaping, designing and delivering Voice of the Customer programmes and Decision-Led Insight Design engagements
  • Leading onshore and offshore teams to deliver high quality client engagements
  • Providing insight advisory services to clients and work closely with Engagement Leads/Managers and team members to successfully deliver project outcomes
  • Working with our Engagement Leads/Managers on the financial management of client engagements, developing client relationships and contributing to thought leadership


Your experience

  • Experience in a data, research or analytics field, in an agency, industry or consulting organisation


Your skills

  • Understanding of relevant technical research & analytics skills, including sampling, survey methodology, questionnaire design, widely used analytical methods and project management
  • Owning the delivery of workstreams within a complex programme – being an effective project manager – e.g. working to deadlines, managing multiple client requests, establishing processes to support client delivery
  • Adept at finding insights from data, telling the story in a visual, articulate and engaging way, and making tactical and strategic recommendations
  • Familiarity with VOC implementation and ongoing management using technology platforms such as Medallia, Qualtrics, PowerBI
  • Organisational prowess and an ability to manage multiple projects
  • Ability to demonstrate a solutions-focused approach to your work
  • Some experience of presenting to clients and/or internally


You as a person

  • Passion for research and analytics
  • Ability to build relationships with a wide range of colleagues and clients
  • Ability to learn on the job, pick up new ideas and approaches and apply them with confidence, continually reviewing working practices to ensure efficiency and improved outcomes
  • Highly organised self-starter able to work to deadlines and manage multiple priorities
  • Proactive in solving challenges – for clients, for the team
  • Interest in supporting the development of our capability, including cultural and operational improvements to the benefit of the whole team


Why Consulting at KPMG?

Technology is a critical focus for us. It underpins everything we do. We're investing in technology like never before – not least because the pace of technological change is disrupting organisations in new and challenging ways. Through advanced data analytics and emerging tech-enabled solutions like AI and machine learning, we're helping clients across diverse sectors to navigate that change. We enable them to avoid any unnecessary risks and to uncover new, transformative opportunities that could give them a competitive edge. A career here means stretching your skills and honing your expertise by solving complex problems as part of a collaborative, results-driven and supportive team. Whether we're helping our clients to reduce their costs, make better decisions, improve efficiencies or deploy the latest technologies, we bring together broad specialisms and talents to deliver robust, connected solutions.

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.

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

Over the last decade, the United Kingdom has firmly established itself as one of Europe’s most significant technology hubs. Thanks to a vibrant ecosystem of venture capital, government-backed initiatives, and a wealth of academic talent, the UK has become especially fertile ground for artificial intelligence (AI) innovation. This growth is not just evident in established tech giants—new start-ups are emerging every quarter with fresh ideas, ground-breaking technologies, and a drive to solve real-world problems. In this Q3 2025 Investment Tracker, we take a comprehensive look at the latest AI start-ups in the UK that have successfully secured funding. Beyond celebrating these companies’ milestones, we’ll explore how these recent investments translate into exciting new job opportunities for AI professionals. Whether you’re an experienced machine learning engineer, a data scientist, or simply hoping to break into the AI sector, this roundup will give you insights into the most in-demand roles, the skills you need to stand out, and how you can capitalise on the current AI hiring boom.

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

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

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

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.