Data Scientist (Contract)

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About the Role

Senior Data Scientist

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

• 7+ years

  demonstrable experience in applied data science, specifically in

  marketing, sales funnel optimisation, churn/LTV modelling, or SEM signal optimisation

  .

• 3+ years

  experience working within

  B2B SaaS companies

  .

• Master’s or PhD

  in

  Statistics, Computer Science, Machine Learning

  , or a related quantitative discipline from a reputable university.
• Proven expertise in

  Python

  and building

  end-to-end ML pipelines

  .
• Hands-on experience with

  Amazon SageMaker, AWS Cloud, GitHub

  .
• 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

marketing/LTV/churn/SEM signal optimisation