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Capitole is hiring a Data Scientist / ML Engineer in Ibiza to join an international data team, building predictive models and advanced analytics for business decision-making. The role covers the full ML lifecycle: exploration, modeling, deployment, monitoring, and driving business adoption.
Data Scientist / ML Engineer on Capitole's international data team in Marbella, building ML, advanced-analytics and predictive solutions end to end — from exploration through production deployment and monitoring — using Python, PySpark, SQL and Databricks while collaborating with business stakeholders.
Capitole in Málaga, Spain is hiring a Data Scientist / ML Engineer to join an international data team, owning the full ML lifecycle from data exploration through deployment and monitoring. The role centers on Python, PySpark, and SQL, working with both technical colleagues and business stakeholders.
Capitole is hiring a Data Scientist / ML Engineer in Spain to join an international data team, building predictive models and advanced analytics end to end — from data exploration through deployment and monitoring. Core stack: Python, PySpark, SQL, and Databricks.
Capitole is hiring a Data Scientist / ML Engineer in Spain to join an international data team, designing, training, and deploying ML models end-to-end — forecasting, optimization, and recommendation models with a focus on production deployment and monitoring. Values Databricks and SQL experience and C1-level English.
Capitole is hiring a Data Scientist / ML Engineer in Alicante to join an international data team building ML, advanced analytics and predictive models that drive business decisions. The role owns the full ML lifecycle, from data exploration to deployment and monitoring, using Python, PySpark, SQL and Databricks.
Capitole is hiring a Data Scientist/ML Engineer in Santa Cruz de Tenerife to join an international data team building ML solutions, advanced analytics, and predictive models that support business decisions. Work spans forecasting, optimization, clustering, regression, and recommendation systems, including deploying and monitoring models in production.
Data Scientist / ML Engineer at Capitole in Valladolid, building end-to-end ML and advanced analytics solutions — forecasting, optimization, and recommendation models — from data exploration through deployment, using Python, PySpark, SQL, and Databricks.
Senior hands-on data scientist at Moonpig (hybrid in London or Manchester) owning machine learning problems end-to-end — recommendations, personalisation, customer and predictive modelling — from problem shaping through production, monitoring and online experimentation. Core stack: Python, SQL, AWS and dbt.
Data Scientist at Moonpig (online gifting/cards retailer) who builds, evaluates and helps productionise machine learning for recommendations, personalisation, customer and predictive modelling. Hands-on work with Python, SQL, AWS, Git, dbt and A/B testing in a hybrid London or Manchester team.
Additional Location(s): N/A; US-IN-Spencer; US-MA-Marlborough; US-MN-Arden Hills Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific, we’ll give you the…
Staff Data Scientist providing technical leadership for Marshmallow's Claims team in London (hybrid), building and shipping production ML and Generative AI/LLM systems for claims fraud detection and automation. Day to day: shaping risk decisioning with Product and Engineering, driving platform/tooling investment, and raising the bar on statistical rigour and experimentation.
Principal Data Scientist leading data science for Claims Fraud at Marshmallow, a London-based insurtech (hybrid, 3 days in office). The role provides technical leadership across traditional ML and Generative AI/LLM systems for claims validation, automation and risk decisioning, partnering with Product and Engineering to scale production models.
Senior Data Scientist in Genentech's Data, Digital, and Analytics org who designs, builds, and optimizes LLM-powered AI agents and agentic workflows for business applications across Commercial, Medical, and Government Affairs. Core stack includes Python/TypeScript, orchestration frameworks like LangGraph/LangChain, RAG, tool calling, and AWS.
Build predictive models and AI tools to improve sales, marketing, and customer success at a cloud platform company that connects IoT data for physical operations.
Lead and grow a Data Science team at Redcare Pharmacy in Berlin, acting as a hands-on technical sparring partner on machine learning and model evaluation while strengthening experimentation and A/B testing practices across Data & AI. Core tools include Python, SQL, statistical modelling and large-scale data processing.
A Senior Data Scientist at Rockstar Games builds and scales web/marketing analytics infrastructure, tracks player behavior across games, and delivers insights to optimize marketing campaigns and player experiences using tools like GA4, BigQuery, and Tableau.
Data Scientist in London applying machine learning and data science to electromagnetic environment problems (spectrum classification, emitter detection, signal characterisation) within Metrea's Decision Science Laboratory, taking research from experimentation through to deployed operational capabilities. Core stack: Python, ML frameworks, MLOps and cloud infrastructure.
Leads an international, remote team of data scientists and ML practitioners who develop, benchmark, and deploy AI/ML and generative AI models embedded in Westinghouse digital products, supporting asset management, work management, and business process optimization. Core stack spans classical ML, deep learning, generative AI, MLOps, and Azure.
Data Scientist at Grupo Hasten, a consultancy, embedded in a client project in Madrid (hybrid). Day to day: developing, maintaining and improving predictive and product-recommendation models (churn prediction) end-to-end, using Python, PySpark, SQL and AWS services, especially SageMaker.
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