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Sundayy

Data Scientist

England
Posted about 21 hours ago
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About The Company

NIQ’s Media unit specializes in delivering comprehensive audience measurement solutions across television, radio, digital, and cross-media platforms. Our clients include broadcasters, advertisers, agencies, and regulatory bodies who rely on our data to make informed decisions. We utilize panel-based methodologies, leveraging household and individual panels to ensure our insights are accurate, representative, and actionable. By integrating census data across various solutions, we enhance the quality and reliability of our measurement offerings, enabling clients to understand audience behaviors and media effectiveness with precision.

About The Role

The Principal Data Scientist at NIQ plays a pivotal role in shaping high-impact, client-centric Data Science initiatives. This role is designed for seasoned professionals who excel in conceptual thinking, strategic influence, and cross-team collaboration. The successful candidate will lead the development of innovative analytics, AI, and Data Science solutions within our Media pillar, including Media Measurement, Audience Activation, and Performance. The focus of this position is on strategic conceptualization, ensuring that data-driven initiatives are well-defined, feasible, and aligned with client needs and business objectives. The Principal Data Scientist will influence the direction of projects from inception through delivery, fostering a culture of scientific rigor and innovative thinking that drives measurable business impact.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Qualifications

  • Master’s or PhD in a quantitative field such as Statistics, Data Science, Computer Science, or related disciplines
  • 8–10+ years of professional experience in Data Science or related fields
  • Advanced expertise in statistical analysis, machine learning, and artificial intelligence
  • Strong background in the media industry or experience working within complex industry measurement contexts
  • Proven ability to influence senior stakeholders and shape cross-functional Data Science initiatives
  • Excellent communication and stakeholder management skills
  • Experience with cross-market and cross-media data integration and analysis

Responsibilities

  • Shape and contribute to the strategic alignment and prioritization of Data Science initiatives across the Media unit
  • Define clear concepts and target frameworks for high-impact projects, ensuring they are scientifically rigorous, feasible, and relevant to client needs
  • Identify potential conceptual risks and address unrealistic assumptions early in project development
  • Participate in Data Science governance, including decision-making on project delivery readiness, prioritization, and resource allocation
  • Support client pitches, tenders, and market expansion activities by providing expert insights and innovative solutions
  • Develop compelling Data Science narratives, including 'Why this matters' framing, to communicate value to stakeholders
  • Create whitepapers and guidance documents to support delivery teams and foster best practices
  • Mentor and guide other Data Scientists, supporting their professional development and conceptual capabilities
  • Provide senior technical and methodological guidance across teams, acting as a role model for high-quality Data Science thinking and stakeholder interaction

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Benefits

  • Flexible working environment to promote work-life balance
  • Volunteer time off to support community engagement
  • Access to LinkedIn Learning for continuous professional development
  • Employee Assistance Program (EAP) for personal and professional support

Equal Opportunity

At NIQ, we are committed to fostering an inclusive workplace that reflects the diversity of the communities we serve. We believe that a wide range of perspectives drives innovation and excellence. All employment decisions are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to diversity, equity, and inclusion to join us in making a meaningful impact. For more information on our diversity and inclusion initiatives, please visit our Diversity & Inclusion page.

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Skills

Statistical Analysis
Machine Learning
Artificial Intelligence
Stakeholder Management
Data Integration
Strategic Conceptualization
Cross-functional Leadership
Media Measurement
Audience Activation
Technical Mentorship
Scientific Rigor
Data Science Governance

Location

England, United Kingdom

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