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Builds and deploys full-stack AI agents that analyze industrial data, diagnose issues, and guide real-time decisions for operations teams using Python, FastAPI, and modern AI-native tools.
Internship for Data Scientist and Analyst roles at Revolut, analyzing financial data to improve products like spending, saving, and investing for 75M+ customers.
Build large-scale predictive models and MLOps pipelines for Fortune 500 clients using Python, SQL, Snowflake, Databricks, and SageMaker.
Lead a team of data scientists to design ML components and governance for Bayer’s real-world evidence and AI workflows, mentoring colleagues and collaborating with stakeholders.
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge…
Data Science Manager Salary: £100K - £120K bonus Location: London (Hybrid) At Data Idols, we are working with a UK retail brand that is investing heavily in customer data, personalisation, and AI to transform how it…
Lead Data Scientist building national-scale robotics and AI/ML pipelines on AWS/Databricks, deploying production ML models and transferring expertise to a government team.
Build predictive health analytics models for pharma, governments, and investors using Python/R and advanced statistical techniques to forecast vaccine sales, pricing, and disease trends.
Lead AI and analytics projects for pharma clients, building GenAI proof-of-concepts, forecasting models, and commercial AI solutions while managing teams and delivering presentations to senior stakeholders.
Build and deploy ML models that recommend content and optimize long-term member value for a large online marketplace.
Build and deploy ML models to optimize member lifecycle, recommendations, and policy decisions for a large online marketplace.
Builds and deploys ML models to optimize member lifecycle: ranking, recommendations, uplift policies, and experiment frameworks for Vinted’s marketplace.
Build and deploy ML models to improve member lifecycle decisions, including recommendations and policy evaluation, while collaborating with engineers and product teams.
Build and maintain single-cell multi-omics pipelines and generative models to predict cellular behavior for drug discovery in a TechBio startup.
Build and evaluate generative and predictive models for high-content cell imaging to uncover disease mechanisms and guide drug discovery, using deep learning and multi-omic data.
Build and deploy ML models for credit scoring, fraud prevention, and predictive analytics in fintech and e-commerce using Python, Spark, and SQL.
Build and refine credit-risk models using SQL, Python, and LookerStudio to turn raw data into actionable business insights for financial services clients.
Build and maintain ML-driven data pipelines for genomic prediction in crop breeding, integrating datasets and ensuring data quality for predictive analytics.
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