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Senior data scientist / ML engineer at Mindworx Consulting in Johannesburg who productionises, deploys and monitors ML models, GenAI apps, RAG solutions and AI agents on Databricks and Azure Kubernetes Service, builds MLOps pipelines with CI/CD, and mentors junior engineers.
About You You are an experienced Data Scientist with strong applied Machine Learning expertise and a track record of building and evaluating models using real-world, messy, large-scale data. You are comfortable working…
Lead statistical design and analysis for oncology clinical trials, real-world evidence, and health economics studies using SAS/R, while partnering with cross-functional teams to generate data-driven insights for RAS-targeted cancer therapies.
Leads statistical analysis and data science for oncology drug development, designing models, mentoring teams, and supporting regulatory submissions using SAS/R.
Confirmed data scientist on Sopra Steria's Industry BU (Data & Process Intelligence agency) in Lyon, doing AI consulting and building/industrializing machine learning, deep learning, generative AI (LLM/RAG) and computer vision projects for industrial and energy-sector clients, using Python, SQL, Git and AWS/Azure/GCP.
Data Scientist on Sonar's Data & Insights team in Geneva, analyzing how customers adopt and use the product and linking usage data to customer and sales data to steer product and GTM decisions. Day-to-day work centers on SQL, Python, statistical modeling, experimentation, and partnering with data engineers on warehouse data models.
Experienced data scientist on Wise's London-based Customer Support team (partnered with Budapest) measuring support quality, diagnosing root causes, and shaping the automation strategy. Core stack: SQL, Python, statistics, causal inference, experiments, and ML/NLP/LLM techniques applied to customer and conversational data.
Executive-level role (via a confidential search) leading technology and data strategy for a large-scale mobile advertising and monetization platform. The hire will lead ~130 engineers and data specialists across Europe, driving machine learning, adtech, cloud and large-scale distributed systems innovation.
We’ve signed up to an ambitious journey. Join us! As Arrive, we guide customers and communities towards brighter futures and more livable cities, it isn’t a challenge just anyone could take on. Luckily, we have…
Data scientist in Veldsink Groep's internal 'AI Works' program, building production-grade ML and GenAI applications (AI assistants, knowledge retrieval, document analysis, speech-to-text) for the group's financial services using Python, LLMs, RAG and Azure OpenAI/LangChain. Hybrid role based in Nuenen, Netherlands.
Working student (Werkstudent) role in product management for motor insurance at Barmenia Gothaer in Cologne: you support data-driven analyses of the KFZ business, build and automate reports, monitor the insurance market and competitor data, and prepare presentations and decision documents alongside product management, actuarial, and data analytics teams.
Hands-on GenAI Specialist/Data Scientist role designing, building, and deploying AI agents and agentic AI workflows for real business use cases on AWS. Core stack: Python with OOP, LLM frameworks (LangChain, OpenAI/Anthropic libraries), and AWS services like Glue, Athena, Step Functions, and Lambda.
Technical manager role leading a cloud-based data science program in Pune: overseeing a cross-functional team of data engineers, data scientists, and cloud architects to deliver scalable ML platforms, with an emphasis on Azure, Kubernetes/AKS, Docker, Python, and DevOps/CI-CD practices.
The Data Scientist will design, build, and deploy machine learning and LLM-powered solutions, create data pipelines, improve model performance, define metrics, and mentor teammates while collaborating with product and engineering teams.
An internship/working student role in motor vehicle insurance product management at Barmenia Gothaer in Cologne, supporting data-driven analyses of business development, building and automating reports, and preparing market and competitor insights for management. You work closely with product management, actuarial and data analytics colleagues; core tools are MS Excel and PowerPoint.
Deploys and maintains GenAI agents in client cloud environments (Azure/AWS), focusing on containerized model-serving APIs, CI/CD pipelines, and observability. Works cross-functionally with data scientists to ship production-grade AI systems for enterprise clients.
Data Scientist at MTS Bank in Moscow building and deploying ML models that predict customer propensity to products and communication channels, optimizing marketing communications (CVM), and running A/B tests through the full model lifecycle. Core stack: Python (sklearn, CatBoost/LightGBM/XGBoost), SQL, Airflow, and MLOps tools like MLflow, DVC, Git, Docker.
Senior Data Scientist at Brillio (Bangalore) translating business challenges into data science problems, building and validating statistical/ML models, and communicating insights to stakeholders. Core stack: Python/R, Tableau/Power BI, Spark/Hadoop, AWS/Azure/GCP, MLOps, with exposure to agentic AI.
The AI Solution Delivery team is expanding its capabilities in NLP to build production-grade AI products. We are looking for a Senior Data Scientist to architect, build and deploy complex models for automating customer…
Lead a quant research team to turn ML models into live trading strategies and mentor junior researchers, using Python and rigorous validation methods.
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