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Senior Data Scientist


Job details
  • Harnham
  • 1 week ago
Applications closed

Job Title:Data Scientist (Contract) - Personalisation & Incrementality

Location:Hybrid (3-4 days per week in office)

Duration:3 to 6 months

Day rate:£520 per day (outside IR35)

Overview:
We are seeking a skilled Data Scientist to join a high-profile personalisation project for a leading retail company. The project focuses on optimising customer ads based on shopper behaviour. You will help enhance the existing algorithm by focusing on incrementality-pushing additional product recommendations beyond those customers might initially consider.

Key Responsibilities:

  • Focus on the incrementality aspect of the ad algorithm, identifying additional relevant products.
  • Enhance personalisation models using SQL, PySpark, and recommender engine techniques.
  • Work closely with the Data Science team to improve model accuracy and performance.
  • Apply your expertise in data analysis, personalisation, and recommender systems to refine targeting strategies.

Key Requirements:

  • Strong experience withSQL,PySpark, and data analysis.
  • Proven expertise inpersonalisation modelsandrecommender engines.
  • Experience with building and improvingincrementality modelsfor ad targeting.
  • Familiarity withGenerative AIfor content creation is a plus.

How to Apply:
Please click apply or send a brief cover letter outlining your experience with personalisation, recommender engines, and incrementality in ad targeting

Desired Skills and Experience


Key Skills & Experience:

SQL (Advanced data manipulation and querying)
PySpark (Large-scale data processing and analysis)
Personalisation Models (Building and enhancing customer-targeted ads)
Recommender Engines (Developing and optimising product recommendation systems)
Incrementality Modelling (Identifying additional, relevant product recommendations)
Data Analysis (Ability to process, interpret, and extract insights from large datasets)
Generative AI (Experience with AI for content creation, a plus)

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