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What if you could help companies transform their businesses using AI, machine learning and data? Joining KPMG as an AI Developer means you’ll be working with a variety of clients, applying the latest AI models and…
Software Engineer (Backend-Focused) About AZX Our mission is to accelerate positive impact in critical industries through AI transformation. We’re growing quickly and already work with category-leaders in real estate…
Data Scientist at ShuruTech, a B2B IT services company in Bangalore, building and deploying end-to-end GenAI and ML solutions — LLMs, RAG, recommendation systems, and deep learning — using Python, SQL, PyTorch/TensorFlow on Azure and Snowflake, with a focus on FATE-aligned, production-grade models.
Deskripsi Pekerjaan Key Responsibilities Collaborate with business and product stakeholders to understand challenges and goals. Translate business problems into technical requirements and modeling approaches. Develop,…
Команда «Мотивационный профиль» создает новый подход к работе с клиентом, который позволит перейти от классической персонализации к более глубокому пониманию человека на основе психологии. Мы извлекаем из данных…
Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our…
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the…
Meet the Team Join a forward-looking Finance organization that combines financial analysis, business intelligence, automation, and emerging AI technologies to solve real business problems. The team partners closely…
Hybrid Lisbon data scientist building predictive price/demand forecasting and market-signal models for a major utilities client, working with large time-series datasets and using generative AI tools (LLMs, RAG, agentic workflows) alongside the Python ML stack (pandas, scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow).
Hexa Consulting is hiring a Middle Data Scientist in Portugal to join a client-facing team building financial risk prevention solutions. Day to day the person analyzes and prepares client data, builds and tunes machine learning models using Python, Java/Scala and Spark/Hadoop, and supports client training and enablement.
Data Platform Engineer at MZV, Germany's leading magazine distributor, to run and develop the company's new analytical data platform: monitoring pipelines, Snowflake administration, dbt modeling (Medallion architecture), connecting source systems, and operating an AI-based disposition model on Azure ML. Stack: Snowflake, dbt, Azure, GitLab, QlikSense.
What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+…
Craftzing and Sagacify are looking for an AI/ML Engineer who is as comfortable in a client workshop as in a codebase. Someone who does not see understanding a business problem and building the AI system that solves it…
Aldar is hiring an Assistant Vice President of Data Science in Abu Dhabi to design, build, and productionize advanced analytics and ML/AI solutions that deliver measurable business value. Daily work centers on Python and SQL modeling (Databricks, MLflow, Airflow), model explainability, A/B testing, and AI governance alongside product, analyst, and engineering teams.
A night-shift (10 PM IST start) technical support role on Snowflake's Support team, troubleshooting customer issues with Snowflake Cortex and ML workloads across Python, ML libraries, LLMs, cloud platforms, Kubernetes, and DevOps. The engineer handles cases via email/web/phone, meets SLAs, escalates to engineering, and documents knowledge base articles.
ParetoHealth, a healthcare benefits captive, is hiring a Lead Data Scientist to independently own end-to-end predictive underwriting and pricing workstreams — from problem framing and feature engineering through model deployment, monitoring, and business-impact measurement. Core stack: Python, SQL, scikit-learn/XGBoost, PySpark, and AWS-based MLOps.
An MLOps-focused machine learning engineer takes models built by data scientists and owns the path to production at a financial services and insurance organisation — designing feature/training pipelines and inference services, building CI/CD, model monitoring and versioning, and running ML workloads on cloud platforms, with responsible-AI practices in a regulated environment.
Role: Manager, Customer AnalyticsStatus: Regular, Full TimeReports to: Senior Manager, Marketing Analytics Department: MarketingDivision: Enercare Home and Commercial ServicesLocation: Hybrid - Markham Compensation:…
Two-year graduate scheme in Lloyds Banking Group's Chief Data & Analytics Office: train and deploy ML, statistical and GenAI models for fraud, credit risk and customer analytics across two year-long rotations. Core stack includes Python, SQL, Google Cloud, Spark and frameworks like TensorFlow, PyTorch and LangChain, with hybrid working (£48,500 plus benefits).
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