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Staff Data Scientist driving analytics, ROI analysis, and data modeling for an insurtech company, using Python, SQL, and BI dashboards to inform product and business decisions in workers' compensation insurance.
Fraud Analyst on the Threat Intelligence team researching cyber threats, tracking adversary infrastructure and TTPs, and producing actionable intelligence reports with a focus on Chinese-language sources.
The role As a Triage Automation Engineer at Wayve , you'll play a key role in scaling our Triage and Detectives workflow through process improvement, tooling, and automation. You'll partner with Triage…
Data Analyst at Clarium turning raw healthcare supply chain data into decisions by writing SQL queries, building Python data workflows, and maintaining dashboards on an AI-powered hospital platform.
Data Engineer designing and maintaining ETL/ELT data flows, modeling data with dbt and SQL on Google Cloud Platform/BigQuery, and building visualizations with Lightdash/Looker to support Growth, Marketing, Product, and Finance teams.
The Product Manager will join the Reference Data team in Edinburgh to build and maintain data platforms, manage market data feeds, and develop reporting infrastructure. The role involves using SQL, Python, and AI-assisted tools to analyze data quality, track dataset profitability, and support security master operational workflows.
Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total…
An Associate Data Analyst at Solace translates raw healthcare data into actionable insights for stakeholders, using SQL, BI tools, and dbt to drive decisions for a patient-advocacy marketplace. The role blends hands-on analysis with proactive problem-solving in a fast-growing healthcare startup.
Приглашаем в команду машинного обучения специалистов в области классического ML. Команда ML в Koronatech за 7 лет реализовала более 50 проектов с использованием машинного обучения, таких как: выбор лучшего предложения,…
The Engineering Director will lead software engineering teams to modernize enterprise payment platforms while championing the integration of Generative AI and machine learning into the development lifecycle. The role focuses on defining technical strategy, improving delivery maturity, and leveraging AI-assisted coding tools to enhance developer productivity.
Leads ML research projects to improve RTB House’s deep-learning-powered ad-buying engine, designing and deploying models (e.g., deep neural networks) for user behavior prediction and auction bidding. Focuses on production impact, stakeholder collaboration, and mentoring.
Rebuilds and operates a US sports-insurance client’s data platform, migrating from legacy ETL to Azure/Snowflake pipelines, productionizing ML scoring, and owning DevOps (IaC, CI/CD, cloud migration).
The Data Analyst will join the Public Services agency in Bordeaux to analyze data, build dashboards, and develop statistical or predictive models for public sector clients. The role involves using tools like Python, SQL, Power BI, and machine learning frameworks to translate business needs into analytical solutions.
The Data Analyst partners with Product, Commercial, and Engineering teams to analyze user behavior, design experiments, and build scalable analytics foundations (metrics, dashboards, alerts) in a FinTech product environment.
Data Analyst validates and improves data quality for a global marketing analytics platform that processes billions of TV viewing events, using SQL, Python, and statistical analysis to ensure accurate audience insights and business metrics.
AIML Cloud Developer This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office. Who We Are: Hewlett Packard
The Software Engineer will design and optimize data ingress/egress pathways and analytics workloads using Python, Java, Apache Spark, and Apache Airflow. This role requires an active TS/SCI with Polygraph clearance.
The Senior Machine Learning and Artificial Intelligence Scientist will lead the development and production deployment of advanced AI and ML solutions, including generative AI and multi-agent systems, to drive business impact. The role involves working across cloud-native architectures like Azure, Databricks, AWS, and GCP to build scalable, reliable, and governed AI products.
Build and maintain scalable ML pipelines for training, inference, and analytics in a healthcare platform, using Python, Snowflake, and Azure/AWS while ensuring reliability and observability.
Lead Decision Analytics role producing business intelligence insights for enterprise decisions, building KPI frameworks and dashboards for leadership using SQL, Python, R, Tableau, and GCP Big Query.
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