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Develop core geospatial and scientific data components in C++/C# to connect DHI’s simulation engines, desktop apps, and Python ecosystem, ensuring efficient data flow and open standards.
Designs and builds scalable data pipelines and systems using Python, SQL/NoSQL, and containerization to process and transform large datasets for analytics.
Build and maintain data pipelines and analytics platforms in Python and SQL on Google Cloud to power data-driven marketing campaigns for global brands.
Build and validate ML models and predictive analytics in Python to extract insights from structured and unstructured data, collaborating with cross-functional teams.
Build and maintain an AI-powered network intelligence platform using Python, FastAPI/Flask, TypeScript, and React in cloud environments like AWS/Azure/GCP.
A junior AI & Data Engineer role focused on learning data engineering, ML fundamentals, and ETL pipelines under mentorship, working on Python/SQL-based projects for AI/ML initiatives.
Build core data-engineering components in C++/C# to move geospatial and scientific data between simulation engines, GIS tools, and Python, using formats like netCDF and Zarr.
Build and refine datasets for systematic trading strategies and discretionary trading decisions using Python, Pandas, and NumPy in a quantitative finance firm.
Who You'll Work With Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard…
Build and deploy ML models, analyze data, and create BI dashboards to drive business decisions using Python/R, SQL, and tools like TensorFlow and Power BI.
Build and deploy production-grade AI/ML models (LLMs, NLP, CV, forecasting) to solve complex business problems, using Python, TensorFlow/PyTorch, and cloud ML platforms.
Data Scientist – Core Modelling Madrid (Hybrid, 2 days onsite) Permanent €48,000 - €53,000 p/a Our client is an IT consultancy operating on a global scale who are looking to hire a Data Scientist to join their Core…
Build and deploy AI/ML models for vision, audio, and language tasks using PyTorch/TensorFlow and cloud MLOps tools.
Lead a team to design and build advanced analytics solutions using Python, SQL, and big-data tools like Spark, while mentoring junior engineers and applying predictive analytics.
Builds and maintains cloud-based analytics pipelines that process large data volumes using distributed frameworks like Spark, MapReduce, and SQL/NoSQL databases.
Assist in analyzing datasets, building ML models, and visualizing insights using Python/R and libraries like scikit-learn and Pandas.
Build and maintain scalable data pipelines and cloud-based warehouses using Spark, Python, and AWS services like Glue, S3, and Athena to enable analytics and reporting.
Build and deploy ML models, analyze datasets, and deliver insights for business decisions using Python, stats, and cloud tools in a fully remote role.
Builds and maintains a data warehouse, ETL pipelines (Python/Prefect), and CI/CD workflows for SSRS/SSAS reports, while collaborating with business teams to improve analytics and reporting solutions using SQL Server, Tableau, and Python.
Build and deploy ML/AI models (classical, deep learning, LLMs) with MLOps/LLMOps pipelines, focusing on production-grade solutions and API integration for enterprise use.
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