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Harnham

Product Data Scientist - Semantic Analysis

London
£100k – £125k/yr
Posted about 15 hours ago
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Do you want to shape how one of Europe's leading AI products measures success? Have you worked with large-scale text, conversational or semantic datasets to uncover product insights? Are you ready to influence product strategy through data rather than just reporting on it?

We're hiring for a well-funded AI-native scale-up building one of the world's leading AI video generation platforms. Their technology enables users to create avatar-led videos from text and is used globally across training, internal communications, sales enablement and marketing. Having achieved significant growth and enterprise adoption, they are investing heavily in understanding how users interact with AI products and how those experiences can be improved.

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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.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

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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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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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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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This role sits at the intersection of Product, Data Science and AI. You'll analyse large-scale conversational datasets, build evaluation frameworks for AI-native features, and directly influence product decisions through experimentation and insight generation.

Key Responsibilities

  • Analyse large-scale conversational, prompt and interaction datasets
  • Build and own AI product evaluation frameworks and success metrics
  • Use NLP, semantic analysis and behavioural analytics to identify opportunities for improvement
  • Design and analyse A/B tests and experimentation programmes
  • Partner with Product Managers, Engineers and Directors to influence roadmap decisions
  • Link AI feature usage to activation, retention, engagement and business outcomes
  • Mentor analysts or data scientists and raise analytical standards across the team

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Key Details

  • Salary: £110,000–£125,000 (Senior/Tech Lead) or £120,000–£145,000 (Staff)
  • RSUs worth 50–100% of base salary
  • Potential £10,000 sign-on bonus
  • Hybrid London (ideally 2–3 days per week, flexible to 1 day)
  • Stack: Python, SQL, NLP, Text Analytics, Semantic Analysis, Experimentation, dbt

Interested? Please apply below.

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Skills

Python
SQL
NLP
Text Analytics
Semantic Analysis
Experimentation
Data Analysis
A/B Testing

Location

London, England, United Kingdom

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