
Data Scientist (Contract)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist (Contract) for 2 months, remote (UK), £200-£400 per day. Requires 3+ years in SEM/ROAS ad campaign optimization or churn/LTV modeling, strong Python skills, and experience with AWS SageMaker.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
400
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🗓️ - Date discovered
September 27, 2025
🕒 - Project duration
1 to 3 months
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United Kingdom
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🧠 - Skills detailed
#SageMaker #Python #GitHub #SaaS (Software as a Service) #Scala #AWS (Amazon Web Services) #Data Science #Computer Science #Statistics #Version Control #Cloud #AWS SageMaker #ML (Machine Learning)
Role description
Please ONLY apply if you have 3+ years of experience in SEM / ROAS Ad campaign optimisation or churn/LTV modelling
Job Title: Data Scientist (Contract – 2 Months (extension possible), Full-Time)
Location: Remote (UK - with some in person meeting)
Commitment: 20–30 hours per week (over 4-5 days)
Start Date: ASAP – ideally from 27th September
Compensation: £200-£400 per day (pro-rated) - dependent on experience
About the Role
We are seeking an exceptional Senior Data Scientist to join on a full-time contract basis for 2 months. The ideal candidate will have deep expertise in marketing analytics, funnel optimisation, churn and LTV modelling, and SEM signal design—with a proven track record of delivering impact in B2B SaaS environments. You will work closely with product, marketing, and data teams to design and implement advanced ML-driven solutions that directly influence growth and retention.
Key Responsibilities
• Develop and optimise predictive models for trial-to-pay conversion, churn, LTV, and SEM bidding signals.
• Collaborate with cross-functional teams (Product, Growth, Sales, Marketing) to translate business needs into data science solutions.
• Deploy and scale models in production using AWS SageMaker and related cloud services.
• Conduct rigorous statistical and ML analyses to identify actionable insights that improve marketing and sales funnels.
• Ensure data science workflows follow best practices in version control (GitHub), reproducibility, and scalability.
• Communicate findings and recommendations clearly to both technical and non-technical stakeholders.
Minimum Qualifications
• Master’s or PhD in Statistics, Computer Science, Machine Learning, or a related quantitative discipline from a reputable university.
• 5+ years demonstrable experience working as a Data Scientist in big tech, B2B SaaS or similar industries
• 3+ years of experience in SEM campaign optimisation, churn/LTV modelling
• Solid hands-on experience in Python and building and deploying ML models
• Hands-on experience with Amazon SageMaker, AWS Cloud, GitHub (ideal)
• Strong critical thinking, rapid learning ability, and exceptional communication skills.
What We’re Looking For
• A data scientist who thrives in fast-paced environments and can deliver impact quickly.
• Someone with a practical mindset—balancing experimentation with shipping results.
• A self-starter who can operate autonomously while collaborating across time zones.
How to Apply
Send your CV. Please highlight your work in marketing/LTV/churn/SEM signal optimisation.
Please ONLY apply if you have 3+ years of experience in SEM / ROAS Ad campaign optimisation or churn/LTV modelling
Job Title: Data Scientist (Contract – 2 Months (extension possible), Full-Time)
Location: Remote (UK - with some in person meeting)
Commitment: 20–30 hours per week (over 4-5 days)
Start Date: ASAP – ideally from 27th September
Compensation: £200-£400 per day (pro-rated) - dependent on experience
About the Role
We are seeking an exceptional Senior Data Scientist to join on a full-time contract basis for 2 months. The ideal candidate will have deep expertise in marketing analytics, funnel optimisation, churn and LTV modelling, and SEM signal design—with a proven track record of delivering impact in B2B SaaS environments. You will work closely with product, marketing, and data teams to design and implement advanced ML-driven solutions that directly influence growth and retention.
Key Responsibilities
• Develop and optimise predictive models for trial-to-pay conversion, churn, LTV, and SEM bidding signals.
• Collaborate with cross-functional teams (Product, Growth, Sales, Marketing) to translate business needs into data science solutions.
• Deploy and scale models in production using AWS SageMaker and related cloud services.
• Conduct rigorous statistical and ML analyses to identify actionable insights that improve marketing and sales funnels.
• Ensure data science workflows follow best practices in version control (GitHub), reproducibility, and scalability.
• Communicate findings and recommendations clearly to both technical and non-technical stakeholders.
Minimum Qualifications
• Master’s or PhD in Statistics, Computer Science, Machine Learning, or a related quantitative discipline from a reputable university.
• 5+ years demonstrable experience working as a Data Scientist in big tech, B2B SaaS or similar industries
• 3+ years of experience in SEM campaign optimisation, churn/LTV modelling
• Solid hands-on experience in Python and building and deploying ML models
• Hands-on experience with Amazon SageMaker, AWS Cloud, GitHub (ideal)
• Strong critical thinking, rapid learning ability, and exceptional communication skills.
What We’re Looking For
• A data scientist who thrives in fast-paced environments and can deliver impact quickly.
• Someone with a practical mindset—balancing experimentation with shipping results.
• A self-starter who can operate autonomously while collaborating across time zones.
How to Apply
Send your CV. Please highlight your work in marketing/LTV/churn/SEM signal optimisation.