Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Principal / Manager – Consulting

NielsenIQ
London
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Consultant Data Scientist

Principal Data Engineer

Principal Data Engineer

Principal Data Engineer

Principal Data Scientist

Contract Data Science Manager

As a Consultant in the Analytical Consulting team, you will be responsible for the client servicing team to deliver analytical and consultative projects to some of the largest companies with high quality standards and timelines agreed with clients.

RESPONSIBILITIES

  • Provide timely analytic solutions and benefits to client business issues/opportunities by developing strategic initiatives for clients.
  • Oversee the management and conduct of assigned analytic projects including preparation, approval, and delivery of proposals, reports, and presentations.
  • Build and maintain ongoing relationships with identified key persons within client organizations.
  • Ensure client service standards are implemented and enhanced as client expectations continue to evolve and change in the marketplace.
  • Lead the analytic servicing team with the primary responsibility of expanding our scope of influence with clients across a wider range of products and with greater depth of involvement.
  • Work with the modeling team to drive modelers to create meaningful and actionable model outputs.

Qualifications

  • 5 to 7 years of experience in FMCG/Service/Retail industry.
  • Excellent analytical skills and understanding of statistical modeling.
  • Strong communication and project management skills.

Education Qualifications

  • BA/BS in a numerate discipline required (MBA desirable).

Additional Information

  • Flexible working environment.
  • Volunteer time off.

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com.

Our Commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status, or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center:Diversity & Inclusion.

J-18808-Ljbffr

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.