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Capitole is hiring a Data Scientist / ML Engineer for an international data team. You'll build predictive models, advanced analytics, and end-to-end ML solutions for decision-making — from data exploration through deployment and monitoring — using Python, PySpark, SQL, and Databricks.
Data Scientist / ML Engineer at Capitole in Málaga, Spain, owning the full ML lifecycle — from data exploration through deployment and monitoring — while collaborating with technical profiles and business stakeholders. Core stack: Python, PySpark, and SQL on an international data team.
Data Science internship in Moscow: the intern's main task is to read and analyze modern scientific articles on an assigned topic. Open to students in technical or mathematical programs (2nd–4th year bachelor's, 4th–5th year specialist) or recent graduates.
Builds ML models and pipelines for supply-chain forecasting using Python, Spark, XGBoost/LightGBM, and LSTM; deploys solutions via FastAPI and Docker.
In-house Data Scientist (and Senior Data Scientist) roles at an insurance company's Group Data division in Sydney, joining a small team of 4 that is doubling to build machine learning and deep learning capability on projects across multiple divisions.
Staff-level research data scientist on Google's Ads in AI Experiences team, reinventing Search Ads for the AI era (AI Overview, AI Mode). Day to day: translating business questions into analyses and mathematical models, designing and evaluating models with limited precedent, and gathering, extracting, and validating data using SQL, Python, and R.
A senior individual-contributor research data scientist on Google's Ads in AI Experiences team, reinventing Search Ads for the AI era (AI Overview, AI Mode). Day to day: translating business questions into analyses, metrics, and mathematical models, and gathering/validating data using SQL, Python, and R.
Data scientist building AI-driven data analysis tools and agent systems for a top-3 bank, using Python and LLM frameworks to automate workflows and enhance user engagement.
Join the data science team building AI-first features for sales personalization. Design and deploy end-to-end ML models, focusing on agentic pipelines and NLP using Python.
Senior Data Scientist designs and implements machine learning models, analyzes product metrics, and collaborates with business teams to improve products using Python, SQL, and Spark.
The Senior Data Scientist partners with AI engineering teams to build large datasets, design experiments, and generate statistical insights that guide the development, safety, and performance of Wayve’s autonomous‑driving AI, using production‑level SQL and Python/R data‑science tools.
The Staff Data Scientist partners with AI engineering teams to analyze large driving datasets, design experiments, and create performance metrics that guide improvements to Wayve’s autonomous‑driving AI, using production‑level SQL and Python/R statistical tools.
Analyzes operational design domains (ODDs) and traffic behaviors to define data needs for autonomous driving AI models, ensuring high reliability and cross-region generalization. Uses Python, SQL, and GIS to assess ODD boundaries, behavioral competencies, and MTBF performance gaps.
Leads a data science team to analyze real/simulated driving data, drive engineering progress, and scale operations for Wayve’s AI-powered autonomous vehicle tech.
Middle-level Data Scientist / ML Engineer building forecasting and optimization solutions: develops ML models with a strong time-series focus plus an LP/MILP-based optimizer, from data prep to working prototype. Core stack: Python, SQL, gradient boosting (XGBoost/LightGBM/CatBoost) and tools like Pyomo/OR-Tools with solvers such as Gurobi.
Rattaché(e) au Lead Data TV, tes projets seront à destination de Iliad, maison mère et plus particulièrement de sa filiale TRAX, dédiée à la diffusion de contenu multimédia via l’application Free TV, disponible sur…
Academy Engineer at Cognite builds and delivers technical training for its industrial AI platform, Cognite Data Fusion. Day to day: creating courses, hands-on labs, and e-learning, and delivering instructor-led training to customers and partners as a technical SME. Core stack: Python, SQL, Azure, DataOps, plus tools like Articulate Rise and Synthesia.
Build and own ML models that optimize last-mile delivery operations, from prototyping to production, using Python, TensorFlow/PyTorch, and LLM-based solutions.
Senior Data Scientist in Kraków (hybrid, a few office days per month) supporting Jacobs' internal MSA Mining and Sales Data Science initiatives: building predictive, statistical and machine-learning models in Python (pandas, scikit-learn) on the Azure stack to support data-driven UK commercial decisions, working closely with UK stakeholders.
Senior Data Scientist at DataZymes in Bengaluru doing patient-level healthcare analytics: integrating claims, EHR, lab, and pharmacy datasets to map patient journeys, run treatment-pattern and line-of-therapy analyses, and build predictive models in Python and SQL, then translating findings into executive-ready insights for clients.
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