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Edenred is seeking a Growth Data Scientist for a hybrid role based in Milan, Italy. You will design and deploy advanced analytics and ML solutions to support Sales and Customer Management, turning data into actionable…
The Company Our client is a financial technology (FinTech) company specifically focused on bridging the gap between man and machine when it comes to investing. They are building an AI-driven trading and investing…
SentiLink stops more than 150,000 fraud attempts and verifies more than 3 million identities every day to protect both institutions and consumers. The problems we work on are challenging, and solving them takes deep…
Build and optimize in-database machine learning models in C++, ensuring parity with scikit-learn/Spark ML while scaling training and inference for large datasets.
Principal Data Scientist builds ML models and GenAI tools to optimize marketing campaigns, measure effectiveness, and deliver self-service analytics for a medical-device company.
Build and deploy ML models to detect fraud and analyze risk patterns in crypto trading, using graph analytics and unsupervised learning to uncover sophisticated threats.
Build and deploy ML models to detect fraud and analyze risk in crypto trading, using graph analytics and unsupervised techniques while collaborating with engineering and product teams.
Build ML models to assess credit risk for Affirm’s buy-now-pay-later platform, focusing on underwriting accuracy and fairness.
Build and maintain enterprise Power BI dashboards, automate financial reporting with Python, and deploy AI/ML models to deliver strategic insights for sales, marketing, and finance teams.
Build and deploy machine-learning models for credit risk, including scorecards and customer segmentation, using Python and SQL in a fintech setting.
Builds and deploys AI models and optimization algorithms to improve complex systems using data pipelines and ML engineering.
Build and scale ML pipelines to normalize telematics data, detect anomalies, and forecast routes for logistics and insurance customers using time-series and geospatial models.
Design and deploy autonomous AI agents using LLM/RAG to automate media planning, ad buying, and financial audits for an ad-tech client, covering the full lifecycle from modeling to production.
Build and deploy AI models that power personalized marketing content at scale using deep learning and transformer architectures in Python and PyTorch.
Build and tune credit-scoring models (logistic regression, gradient boosting) to predict customer defaults, run A/B tests on risk rules, and translate data insights into business decisions for a FinTech lender.
Hybrid AI leader and data scientist building LLM integrations, RAG solutions, and ML models for corporate analytics, automation, and decision support at a global consumer-goods company.
Build and deploy ML models for business decisions and optimize AI agentic systems like conversational tools, using Python, SQL, and libraries such as PyTorch.
Lead a team building AI-powered fraud detection and dispute-resolution models for Visa’s global payment platform, using Python, LLMs, and ML techniques to enhance security and operational efficiency.
Manage a team of data scientists building predictive models and analytics for long-term care insurance using Python, SQL, and cloud tools to drive business strategy.
Build and scale ML systems for identity resolution, audience intelligence, and personalization across WBD’s streaming brands using Databricks, Snowflake, and AWS.
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