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MR PORTER

Site Optimisation Lead @NET-A-PORTER

London
Posted 1 day ago
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NET-A-PORTER

NET-A-PORTER is the leading luxury fashion destination for women. The first digital platform of its kind, NET-A-PORTER has revolutionised the way women shop, delivering fashion, fine jewelry & watches and lifestyle collections to the world’s most discerning women.

Today, NET-A-PORTER continues to own discovery, inspiration, exceptional curation, customer experience and engaging storytelling. NET-A-PORTER creates exclusive, personalised experiences for its EIPs (Extremely Important People), with dedicated Personal Shoppers and invitation-only moments. PORTER, the editorial voice of NET-A-PORTER, entertains and inspires women through daily content, and tells the stories of incredible women across the globe.

NET-A-PORTER is part of LuxExperience, the leading digital, multi-brand luxury group.

We are seeking an Optimisation Lead

To join the Site Analytics team, supporting both NET-A-PORTER.COM and MR PORTER. Reporting into the Head of Site Analytics & Optimisation, this role will be responsible for identifying and validating opportunities to improve onsite performance through optimisation priorities, experimentation and AI-driven site capabilities.

This role will translate behavioural and commercial insight into opportunities across search, rankings and models of PLPs and recommendations, and site features. This includes shaping a more structured experimentation approach over time, while also using impact analysis to evaluate feature changes, migrations and cutover risk.

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?

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

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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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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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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.

Benefits

  • 25 days holiday per annum (plus UK bank holidays)
  • Private medical and dental cover schemes
  • Matched contribution pension
  • Flexible working
  • Staff discounts
  • Life assurance cover

What You’ll Be Doing

  • Identify and prioritise optimisation opportunities across NET-A-PORTER and MR PORTER, focusing on changes most likely to improve conversion, engagement, discovery and customer value
  • Build a structured experimentation and optimisation framework for the sites and apps, introducing clear standards for hypothesis setting, success metrics, measurement and learning over time
  • Translate behavioural, trading and customer insights into testable hypotheses, optimisation recommendations and requirements for new features or functionality
  • Evaluate the impact of site changes, feature launches and migration cutovers, using structured analysis to isolate gains, losses and unintended customer impacts
  • Support the development of an experimentation programme over time, identifying where A/B testing is appropriate and where opportunities can be validated through alternative forms of impact analysis
  • Use Google Vertex and related tools to support ranking, recommendation and search optimisation, including model configuration, training inputs and performance evaluation
  • Partner with Trading teams to refine ranking strategies, product visibility and onsite discovery based on customer behaviour, commercial priorities and performance signals. Work closely with User Behaviour Analysts to turn journey and product interaction insight into structured optimisation opportunities across the site experience

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The Type of Person We Are Looking For

  • Strong commercial and analytical mindset, able to connect customer behaviour, optimisation opportunities and business outcomes
  • Experienced in building or scaling experimentation practices, with a strong understanding of test design, segmentation, measurement and statistical rigour
  • Strong understanding of search, recommendations, ranking logic, with curiosity about how AI capabilities can improve customer experience and performance
  • Naturally curious, with a passion for solving problems, simplifying complexity and identifying where small changes can drive meaningful commercial impact

LuxExperience is an equal opportunities employer

We encourage people with a diverse range of backgrounds to apply. We recognize and celebrate the benefits that diversity brings to our workplace, our business and our customers. We welcome and will consider all applications regardless of race and nationality, religion, color, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as an individual with a disability, or any other legally protected characteristics.

If you require any reasonable adjustments to complete your application, please do not hesitate to advise us accordingly.

Experience Level: Mid-Senior level

Workplace Type: Hybrid

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Skills

A/B Testing
Conversion Rate Optimization
Experimentation Framework
Google Vertex
Search Optimization
Ranking Logic
Recommendation Systems
Impact Analysis
Statistical Rigor
Data Analysis
Customer Behavior Analysis
Hypothesis Setting

Location

London, England, United Kingdom

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