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Data Scientist (Contract)

Confidential · London · Remote · Senior

  • London · Remote
  • 3 Month

Indexed (2 weeks ago) · refreshed constantly

Budget
£50–60 / h
Start
flexible
Duration
3 Month
Work mode
Remote
Contract
Freelance / B2B
Seniority
Senior
Reference
e1aeb1da-8723-4ba1-d23d-08d5948a7341

Job description

Project overview

Contract Data Scientist, Search & Sort Order

Project details

Outside IR35

£400 - £480 Per Day

3 Month Duration

The Company

They are a well-established consumer marketplace business with a large and diverse inventory of products available across multiple markets. Data and experimentation play a central role in their decision-making, with a strong focus on delivering exceptional user experiences through intelligent search and recommendation capabilities. You will join a collaborative environment where data science has a direct influence on commercial outcomes and customer engagement.

The Role and Deliverables

Your Skills & Experience

How to Apply

If you're a Data Scientist with expertise in search ranking, recommendation systems, experimentation, and production machine learning, we'd be keen to hear from you. Apply today to discuss this contract opportunity in more detail.

  • Improve search ranking and recommendation performance across a large-scale digital platform.
  • Design, build, and evaluate new search and sort order methodologies to optimise relevance and customer engagement.
  • Develop and apply learning-to-rank and machine learning approaches to improve search outcomes.
  • Run A/B tests, analyse results, and measure performance against key business metrics including conversion, click-through rate, and revenue impact.
  • Build dashboards and reporting tools to communicate experiment outcomes and recommendations to stakeholders.
  • Deploy machine learning solutions into production environments and support ongoing optimisation.
  • Strong experience using Python and SQL for data science and analytics.
  • Experience working with Snowflake and AWS within production environments.
  • Proven capability in search ranking, recommendation systems, or relevance optimisation.
  • Strong understanding of experimentation frameworks, A/B testing, and statistical analysis.
  • Experience measuring and reporting on KPIs including conversion, customer engagement, and commercial performance.
  • Capability to deploy and maintain machine learning solutions in production.
  • Experience with learning-to-rank methodologies is highly desirable.
  • Exposure to tools and techniques such as Metaflow, XGBoost, PyMC, Streamlit, propensity modelling, or optimisation methods would be beneficial.
  • Experience within digital marketplaces, travel platforms, e-commerce, classifieds, or consumer-facing search environments is advantageous.
  • Start: flexible
  • Duration: 3 Month
  • Remote: remote
  • Location: London
  • Rate: 50-60 EUR/h

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