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Data Scientist
Data Scientist at Decide4AI (based in Madrid, remote from anywhere in the world) building machine learning, deep learning and forecasting models for business problems across diverse sectors. Core stack is Python (Scikit-learn, Keras/TensorFlow) with model deployment on AWS, Google Cloud or Azure.
PoliceAI: Senior Data Scientist
Senior Data Scientist at PoliceAI, the National Centre for AI in Policing (College of Policing, UK government programme): leads development, testing and evaluation (TEVV) of AI products for policing, assessing performance, fairness and operational impact. Core skills: statistics, ML, experimental design, Python or R. Remote UK-wide; 20-month fixed term/secondment.
DATA SCIENTIST III
Remote data scientist (level III) at Stone, Brazil's largest independent payments company, on the fraud-prevention team: building and scaling ML fraud-detection models, defining success metrics, and improving alert monitoring and model validation. Core stack: Python (scikit-learn, XGBoost) and SQL at scale (Spark, Databricks, BigQuery).
People Analytics PL (DATA SCIENTIST)
Remote data scientist on Stone's People Analytics team (Brazilian payments company), turning employee/HR data into strategic insights through statistical, predictive and causal analysis to guide people decisions. Core stack: SQL, Python, BI tools (Power BI/Tableau/Looker), Excel, plus ML/DL/GenAI knowledge.
Cubist Data Scientist
Builds and maintains data pipelines and features for systematic trading models in equities, futures, and options using Python and SQL.
Cubist Senior Data Scientist
Senior Data Scientist builds and maintains data pipelines and derived datasets to power predictive models for a systematic trading firm.
Data Scientist, Proprietary Research
Data Scientist on a proprietary research team mining alternative data with ML and statistical models to generate investment insights for portfolio managers.
2027 Summer Internship - MS/PhD Data Scientist, Proprietary Research
10-week summer internship in New York with Point72's Market Intelligence (proprietary research) team: MS/PhD data scientists mine large, unstructured and alternative datasets using machine learning and statistical modeling to produce research insights for investment professionals. Core stack: Python, R, Spark, SQL.
CIENTISTA DE DADOS SR
Senior Data Scientist at Neohype who structures and analyzes large datasets, builds statistical and machine learning models, monitors KPIs/dashboards and data pipelines, and ships models to production in partnership with business teams. Core stack: Python, SQL, ML/MLOps, cloud (AWS/Azure) and BI tools, in a hybrid role based in Vila Olímpia (São Paulo).
Stage Data Science / AI Engineer - Finance Commercial F/H
6-month end-of-studies internship at Air France-KLM's Data, Operations Research & AI department: compare RAG, agentic RAG, and context-agent approaches, then prototype a conversational AI assistant to help Corporate Sales teams query dashboards and data in natural language. Core stack: Python, SQL, LLMs, with evaluation, guardrails, and possible production rollout.
Stage Data Science / ML Ops - Monitoring et prédiction du parcours des bagages en correspondance F/H
6-month end-of-studies internship (start March 2027) in Air France's Data, Operations Research & AI department: build and deploy an ML model monitoring tool (auto-fed data tables, drift detection, alerts, visualization app) on Google Cloud Platform, plus R&D on probabilistic predictions — quantile regression, conformal prediction, survival analysis — for real-time baggage connection forecasting at
Cientista de Dados Especialista - Busca
Senior data scientist on iFood's search team, improving the search pipeline end to end — query understanding, reranking and personalization — through machine learning, NLP, causal inference and large-scale A/B experimentation, building production-grade models and setting analytical standards.
Cientista de Dados Especialista
Senior data scientist at iFood (Brazilian food-delivery marketplace) who defines the analytical approach to the company's hardest business problems: building production-grade statistical and causal models, leading complex A/B and quasi-experiments, and setting organization-wide experimentation standards. Core tech: predictive modeling, causal inference, experimentation, and GenAI-powered workflows
Data Scientist Intern - 2027
Summer 2027 Data Science internship at quant trading firm Hudson River Trading. Interns run independent Python projects (pandas, polars) to normalize and validate vendor market data, extract quantitative and textual features, and apply quality checks that feed research and automated trading. Paid weekly: $5,800 (NY) / £4,350 (London), plus housing, meals, and signing bonus.