Analyzing complex datasets to generate insights for product and advertising performance. Designing models, A/B testing, and experimentation to inform product decisions. Working closely with engineering and product teams.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Data Scientist – Contract (Remote | 2–3 Months) | £104k
We are currently partnering with a global technology organisation to hire a Data Scientist for a short-term contract covering paternity leave. The role is fully remote and expected to run for 2–3 months, making it ideal for someone immediately available or between contracts.
This role will focus on analysing complex, high-volume datasets to generate insights that influence product and advertising performance. The successful candidate will work closely with engineering and product teams to design experiments, build models, and deliver data-driven recommendations.
Key Responsibilities
• Apply statistical analysis, machine learning techniques, and advanced analytics to identify insights from large, complex datasets
• Design and evaluate predictive models and algorithms to support product and business decision-making
• Lead and analyse A/B testing and experimentation to measure product and advertising performance
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• Conduct exploratory data analysis to uncover trends, patterns, and opportunities
• Partner with engineers and product teams to translate data science insights into scalable solutions
• Build dashboards and visualisations to support business intelligence and reporting needs
Key Requirements (Non-Negotiable)
• Strong SQL and coding capability with the ability to work with complex datasets
• Experience designing and analysing A/B tests and product experiments
• Strong technical and analytical rigour with the ability to perform complex measurement analysis
• Experience working in advertising, ads measurement, or performance analytics
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Nice to Have
• Python experience
• Background working within large-scale tech environments
• Candidates who are immediately available or have prior experience within large global tech organisations are highly desirable
Education
• MSc in Computer Science, Data Science, Statistics, or a related quantitative field preferred
This is a fast-moving process, with CV submission required by Monday 9th March (COB).
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