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WPP Media is seeking a Data Scientist to design, develop, and deploy data modeling and automation solutions using AI and ML techniques. This role involves hypothesis testing, data preparation, model development, and collaboration with engineers and business teams to deliver actionable insights.
Build and maintain a geo-holdout experiment framework for Prime Video’s European campaigns, mapping NUTS3 regions to ad-platform geo targets and automating weekly QA to detect leakage.
Build and refine data-science models in Python and Jupyter to analyse marketing datasets on GCP, then translate insights into campaign optimisations for WPP’s ad-tech clients.
Data Scientist at the OECD's WISE Centre who builds and maintains automated data pipelines for the How's Life? well-being database, develops interactive data visualisations, and conducts well-being policy analysis. Core tech: R (or similar statistical languages), Git, JavaScript/web development, data viz tools and AI-assisted workflows.
Senior technical leadership role at a UK AI and data consultancy in Belfast: architect and deliver machine learning, generative AI and agentic AI solutions for government and commercial clients, drive AIOps and cloud-native best practice, and manage and coach a small team of data scientists. Hands-on Python, LLM and RAG work in a hybrid setup.
Lead and develop a team of Data Scientists at Monzo (UK digital bank), setting the data strategy for a product area and partnering with Product, Engineering and senior stakeholders. Work centres on experimentation, causal inference, statistical modelling and machine learning, with Python, SQL and Looker.
Lead and grow a team of Data Scientists at Monzo, a UK bank, setting the data science direction for a product area and partnering with senior stakeholders to shape strategy. The role relies on experimentation, causal inference, statistical modelling, machine learning, Python, SQL and self-serve analytics via Looker.
Analyzes terabyte-scale radio frequency datasets collected from deployed sensing systems for U.S. Government sponsors, applying statistical and anomaly-detection methods and building software tools to automate RF data processing workflows. Requires strong programming (e.g., Python/MATLAB/R), large-scale data experience, and U.S. citizenship with clearance eligibility.
A Product Data Scientist on YouTube Search and Viewer AI who analyzes experiments, improves foundational search/recommender systems, and develops signals for LLM-powered viewer experiences. Core work involves SQL and Python-based data extraction, modeling, and translating business questions into analyses and metrics.
Fully remote (US) Data Scientist at E-INFOSOL, a government-focused IT services firm: lead machine learning, statistical analysis, and ETL work for federal customers, build and validate predictive models, and communicate findings using Java, Python, R, AWS, and CI/CD. Requires a Master's/PhD and 10+ years of applied ML/AI experience.
An aggregated posting (via a Telegram internship-collection channel) for an Intern — Data Science position. The listing gives no company, location, salary, or requirement details — only the role title and a contact channel @juniors_rabota_jobs.
Senior Data Scientist analyzes Wolt+ loyalty program data to drive customer retention and engagement using Python, SQL, and experimentation.
Senior Data Scientist focusing on Workforce Management Analytics at Wolt, building forecasting models, time series analysis, and optimizing resource allocation for operational efficiency.
Analyze DoorDash’s marketplace data to guide growth, operations, and strategy using SQL, Python/R, and statistical modeling; mentor analysts and build dashboards to drive key business decisions.
Lead data-science work to measure DoorDash’s marketplace, design experiments, and turn insights into operational changes that grow revenue and efficiency.
Lead a team of data scientists at DoorDash to analyze merchant and marketplace data, build predictive models, and drive product/business decisions through analytics and experimentation.
Build and maintain scalable data pipelines and metrics that power analytics across DoorDash’s operations, using SQL, Python/Scala, and ETL tools to deliver trusted insights for business teams.
Design statistical methods and standards for experimentation across DoorDash, Deliveroo, and Wolt, partnering with engineering to build the platform and decide where AI fits in the process.
Data Scientist uncovers marketplace insights and runs experiments to drive operational decisions for DoorDash’s logistics platform using SQL, Python/R, and statistical techniques.
A senior marketing analytics leader who designs experiments, analyzes A/B tests, and derives customer insights to optimize DoorDash’s marketing spend and strategy in ANZ, collaborating with global teams and stakeholders.
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