Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analyst with expertise in predictive modelling and recommendation engines, offering £370-£400/day for an initial contract, likely extended. Key skills include Python, SQL, and experience in e-commerce or advertising analytics. Remote-first work.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
400
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🗓️ - Date discovered
August 27, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Outside IR35
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#A/B Testing #Automation #Data Analysis #Data Science #Data Visualisation #Microsoft Power BI #ML (Machine Learning) #Python #Datasets #Spark (Apache Spark) #SQL (Structured Query Language) #Tableau #BI (Business Intelligence) #PySpark #AI (Artificial Intelligence) #Recommender Systems
Role description
Senior Data Analyst / Insight Analyst - Contract - Predictive Modelling
Rate: £370-£400/day (Outside IR35)
Location: Remote-first (occasional office visits)
Start Date: ASAP | Duration: Initial contract, likely extension
The Role
We're seeking a Senior Data/Insight Analyst with strong predictive modelling and recommendation engine experience to help build an in-house personalised advertising platform. You'll apply advanced analytics to make ads more intelligent, relevant, and incremental-uncovering what customers will love, not just what they've bought before.
What You'll Do
• Build & optimise recommendation/personalisation models.
• Drive incremental targeting beyond repeat-purchase patterns.
• Apply predictive analytics to customer behaviour & purchase history.
• Use Python (essential), SQL, and ideally PySpark to deliver insights.
• Collaborate with Product, Content, and Data Science to align models with business goals.
• Translate data into clear, actionable insights.
• (Bonus) Explore AI-driven ad content opportunities.
What We're Looking For
• Proven experience with predictive modelling / recommender systems.
• Strong Python & SQL skills (essential).
• Exposure to PySpark (desirable).
• Strong communicator with ability to link data to business outcomes.
• (Bonus) Experience with Generative AI or content automation.
Desired Skills and Experience
Key Skills
Python (essential)
SQL (advanced querying & analysis)
Predictive Modelling
Recommendation Engines / Recommender Systems
Personalisation Models
PySpark / Spark (desirable)
Data Analysis & Insight Generation
Machine Learning (applied, not academic)
Customer Behaviour Analytics
Incremental Targeting / Uplift Modelling
A/B Testing & Experimentation
Data Visualisation (Tableau, Power BI, etc.)
Experience (ideal profile)
Strong background in data analysis with predictive modelling for commercial applications.
Hands-on experience building or optimising recommendation systems.
Proven ability to work with large datasets using Python and SQL.
Exposure to personalisation in e-commerce / advertising / customer engagement settings.
Experience delivering data-driven insights that directly influence product or marketing outcomes.
Comfortable collaborating across Product, Content, and Data Science teams.
Bonus: exposure to Generative AI tools or dynamic content/ad optimisation.
Senior Data Analyst / Insight Analyst - Contract - Predictive Modelling
Rate: £370-£400/day (Outside IR35)
Location: Remote-first (occasional office visits)
Start Date: ASAP | Duration: Initial contract, likely extension
The Role
We're seeking a Senior Data/Insight Analyst with strong predictive modelling and recommendation engine experience to help build an in-house personalised advertising platform. You'll apply advanced analytics to make ads more intelligent, relevant, and incremental-uncovering what customers will love, not just what they've bought before.
What You'll Do
• Build & optimise recommendation/personalisation models.
• Drive incremental targeting beyond repeat-purchase patterns.
• Apply predictive analytics to customer behaviour & purchase history.
• Use Python (essential), SQL, and ideally PySpark to deliver insights.
• Collaborate with Product, Content, and Data Science to align models with business goals.
• Translate data into clear, actionable insights.
• (Bonus) Explore AI-driven ad content opportunities.
What We're Looking For
• Proven experience with predictive modelling / recommender systems.
• Strong Python & SQL skills (essential).
• Exposure to PySpark (desirable).
• Strong communicator with ability to link data to business outcomes.
• (Bonus) Experience with Generative AI or content automation.
Desired Skills and Experience
Key Skills
Python (essential)
SQL (advanced querying & analysis)
Predictive Modelling
Recommendation Engines / Recommender Systems
Personalisation Models
PySpark / Spark (desirable)
Data Analysis & Insight Generation
Machine Learning (applied, not academic)
Customer Behaviour Analytics
Incremental Targeting / Uplift Modelling
A/B Testing & Experimentation
Data Visualisation (Tableau, Power BI, etc.)
Experience (ideal profile)
Strong background in data analysis with predictive modelling for commercial applications.
Hands-on experience building or optimising recommendation systems.
Proven ability to work with large datasets using Python and SQL.
Exposure to personalisation in e-commerce / advertising / customer engagement settings.
Experience delivering data-driven insights that directly influence product or marketing outcomes.
Comfortable collaborating across Product, Content, and Data Science teams.
Bonus: exposure to Generative AI tools or dynamic content/ad optimisation.
