As a Data Scientist, you will develop and implement advanced fraud detection models to protect customers’ business from fraudulent activities. As an early member in the ML team you will have great impact in building out our ML stack. Responsibilities include developing fraud detection systems and processes, analyzing data to improve fraud prevention strategies, and optimizing existing models.
Design and implement modern data architectures and data pipelines on cloud platforms (AWS or Azure). Implement ETL/ELT routes, batch and streaming processing with a focus on scalability and maintainability. Integrate storage systems, event sources, databases and analytics platforms. Automate data processing processes with infrastructure and DataOps methods. Advise customers on data strategy, governance and cloud-native data services.
Design, develop, and maintain data pipelines that ingest, transform, and load data from various sources into data lakes, data warehouses, and data marts using Python, Spark and other cloud services to serve analytics needs and machine learning model requirements. Contribute to the detailed design and architecture of the data platform ensuring consistency, efficiency and reusability of data components and processes.
This is a contract opportunity with potential to extend or convert and seeking a Mid-Level Data Engineer to support data design and delivery within Risk Assurance Data and System projects. The ideal candidate is an independent, technically adept professional who can identify and lead data engineering initiatives. You will work closely with data analysts, IT teams, and business partners to ensure optimal data pipeline and model development.
We are looking for a technically skilled and data-savvy analyst with a passion for building scalable pipelines and uncovering insights from distributed data sources. This role blends data analysis with infrastructure expertise—ideal for someone comfortable working hands-on with cloud technologies, wrangling raw data into clean, reliable structures, and helping shape a robust Azure-based data ecosystem. This is a contract to hire role that can be remote but must provide occasional onsite support.
As a Microsoft Fabric Architect, you will be the principal authority for designing and leading the implementation of enterprise-scale data solutions for our US-based clients. You will be responsible for creating the strategic vision and technical blueprint for modern data platforms using Microsoft Fabric.
We are growing our consulting team and looking for Senior AI (Artificial Intelligence) Consultants to join us on our exciting journey and be part of the Hitachi Solutions family. You will be accountable for providing hands-on technical knowledge, while managing client relationships within the project context. Accountable for analysing customer needs, identifying business problems, and translating them into technology solutions, ensuring the high quality of the solution.
As a Senior Reporting Analyst, you’ll play a key role on the Reporting Team, aligning cross-functional goals and driving strategic initiatives through advanced analytics. You’ll bring a full-lifecycle project perspective and a sharp analytical mindset. Manage and grow a Power BI reporting portfolio used by 900+ users across departments. Translate business needs into clear technical documentation for report development.
Join our team as a GenAI Data Scientist and become the architect of our next-generation detection, prevention, and automation strategies and models for enhanced fraud detection and cybersecurity capabilities. You'll build and deploy cutting-edge AI agents using platforms like Azure and Langchain, creating intelligent systems that can autonomously detect anomalous activities. This position offers a unique opportunity to collaborate and lead cross-functional efforts with internal investigations and law enforcement on synchronized fraud-ring takedown operations.
Cloud Data Engineer will be responsible for developing on the data lake platform and all applications on Azure cloud. Good data Engineering, data modeling, SQL knowledge is a must with Python programming background. The Data Engineer will be responsible for providing design and development solutions for applications in the cloud.