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About this role: Wells Fargo is seeking a Senior Data Science Consultant. In this role, you will: Lead or participate in moderately complex initiatives and deliverables by utilizing data-driven, advanced analytical,…
Builds and maintains a metadata-driven financial reporting platform handling 200M+ daily rows, optimizing Oracle PL/SQL workflows and preparing for a Databricks migration with PySpark/Python.
Build ML models to predict and reduce churn for streaming services, using Python, PySpark, and classical ML on large-scale user data.
Build ML models to predict and reduce churn for streaming services, analyzing subscription and engagement data to drive retention strategies.
The Senior Data Engineer will build and maintain Databricks pipelines to process real-time IoT telemetry data into reliable assets for analytics and AI. This hybrid role requires strong expertise in PySpark, SQL, and modern data engineering practices, with a focus on leveraging AI-assisted coding tools.
The Cloud Platform Engineer will develop and maintain data transformation pipelines and cloud infrastructure using PySpark, AWS, and Terraform. This role involves supporting a Lakehouse platform within a hybrid environment in Newcastle and requires SC clearance eligibility.
The Senior Clinical Data Engineer will build and maintain scalable data pipelines using Databricks, PySpark, and AWS to support clinical research and medical device data initiatives. This role involves collaborating with cross-functional teams to ensure data quality and consistency for statistical analysis and reporting.
Job Description What is the opportunity? As a Manager, Digital Product Analytics, you will report to the Director of Digital Product Analytics to help digital teams understand the customer acquisition journey in our…
The Senior Data Engineer will design, build, and optimize cloud-native data platforms and AI-powered products for enterprise clients using Snowflake, Databricks, AWS, and Azure. This hands-on role involves developing data pipelines, implementing governance frameworks, and collaborating directly with stakeholders to deliver scalable data solutions.
Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide.…
Cloud AI/ML Engineer at Evernorth (Cigna Group) in Hyderabad, operationalizing ML models into production-ready batch jobs using Python, PySpark, and AWS within an agile team.
Lead Python data engineering for Citi's credit risk platforms—designing microservices, containerized deployments, and AI/GenAI-enabled workflows at scale within a global bank.
The Senior Architect will design and implement scalable LakeHouse data architectures for retail banking using Python, SQL, and PySpark. The role involves building end-to-end data pipelines, optimizing Spark job performance, and ensuring compliance within a hybrid cloud environment.
The Senior Data Governance Engineer will design and implement data governance frameworks, policies, and security controls within the Azure and Databricks ecosystem. The role involves using PySpark, Python, and SQL to ensure data quality, lineage, and compliance across organizational data assets.
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.
Cloud AI/ML Engineer operationalizing machine learning models into production batch jobs using Python, PySpark, and AWS within an agile team at a large healthcare services organization.
Senior Software Engineer building and operating a real-time IoT telemetry data platform—backend services, data pipelines, and forecasting/anomaly detection—primarily with Python, SQL, and Azure Databricks, using AI-assisted coding tools daily.
Azure Data Engineer for an international banking project, building and maintaining data solutions using Azure Synapse, Data Factory, Data Lake Storage, and SQL Server with Python/PySpark.
Builds and maintains geospatial data infrastructure to track Amazon’s environmental impact (carbon, water, waste) by designing pipelines, automating ETL/ELT processes, and enabling risk assessments using AWS tools and Python/Scala/Java.
Analytics Engineer building data pipelines and models in Databricks to create a Client 360 view and surface client health insights through Salesforce for Customer Success and Account Management teams.
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