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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 and maintain clean, trading-ready financial datasets by automating ingestion, validation, and enrichment of exchange and vendor data using Python, SQL, and Pandas/Polars.
Build and refine datasets for systematic trading strategies and discretionary trading decisions using Python, Pandas, and NumPy in a quantitative finance firm.
Build and maintain scalable data pipelines and cloud infrastructure in GCP to support analytics, ML, and real-time personalization at a large retail company.
Builds and maintains scalable data pipelines, warehouses, and APIs to extract, transform, and integrate data across systems, ensuring accuracy and compliance while collaborating with cross-functional teams in an Agile environment.
Build and maintain scalable data pipelines, ETL processes, and data warehouses using cloud tools like AWS and Python, while collaborating with cross-functional teams to deliver data-driven products.
Build and maintain scalable data pipelines, ETL processes, and data warehouses using cloud tools (AWS, Azure, GCP) and SQL/Python to integrate and clean data for analytics.
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.
Build and maintain advanced actuarial and ML models to optimize digital insurance pricing, risk segmentation, LTV, and dynamic discount engines using Python, SQL, and actuarial tools.
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…
Builds and optimizes scalable data pipelines for a European customer loyalty app (130M users), handling massive customer/transaction data to enable segmentation, personalized campaigns, and AI-driven marketing analytics. Core tech: Python, SQL, Databricks, Airflow, Spark, Kafka, Kubernetes, and relational/non-relational databases.
We are looking for a Senior Data Engineer with strong experience in designing and developing cloud-native data solutions within AWS and Snowflake environments. You will join an Agile Scrum team and be responsible for…
Line of Service Assurance Industry/Sector FS X-Sector Specialism Assurance Management Level Associate Job Description & Summary At PwC, we help clients build trust and reinvent so they can turn complexity into…
Lead Python platform engineer building data applications and APIs for capital markets, focusing on notebooks platforms and infrastructure modernization.
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.
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