Understand the full picture and help operations with monitoring and dashboards.
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Design and deploy scalable machine learning solutions to improve data quality, matching, classification, and automation.
Apply advanced analytics and generative AI to enhance data enrichment and ongoing data maintenance.
Drive analytical projects from problem definition through deployment and ongoing monitoring, in partnership with cross‑functional teams.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries and invest in people and new advanced technologies to unlock the power of data.
Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries that invests in people and new advanced technologies to unlock the power of data.
Leverage data tools to deliver superior service to clients.
Conduct data analysis to understand customer needs.
Partner with customers in interpreting data and remediating issues.
They connect job seekers with companies using an AI-powered matching process. They ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements.
Contribute to the success of the engineering team by autonomously delivering on the development and deployment of new technology products and/or platforms.
Deliver autonomously on development and deployment of complex applications, components, software, platforms or services.
Define and develop solutions to technical problems that arise and provide advice and guidance to junior colleagues.
Dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. Dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas.
Expand ML Capabilities – Identify, prototype, and integrate new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability.
Enable High-Velocity Experimentation – Own the design and implementation of ML pipeline components that accelerate our innovation
Collaborate Across Functions – Partner with Product, Engineering, and Risk teams to translate business requirements into technical solutions and ensure ML initiatives align with customer needs.
Signifyd helps merchants confidently grow their businesses by building trusted relationships with their customers. Thousands of leading merchants across more than 100 countries trust them and they securely process billions of transactions each year. Their people are the heart of everything they do, driving their mission forward with commitment, empathy, and creativity.
Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion.
Implement data quality checks, monitoring, and validation processes.
Automate manual processes into centralized and scalable solutions.
Informa TechTarget accelerates growth from R&D to ROI, informing and connecting technology buyers and sellers. They are a vibrant community of over 2000 colleagues worldwide and traded on Nasdaq as part of Informa PLC.
Become a trusted advisor, partnering with data owners, analysts, business users, and executive stakeholders to translate business needs into scalable analytics solutions.
Work independently as part of a small team to solve complex analytics engineering use-cases across a variety of industries.
Design and develop the analytical layer, including curated data models, semantic layers, metrics definitions, and transformation pipelines.
Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We partner with innovative software providers in the data analytics & engineering space to solve our clients' toughest business problems.
Apply an in-depth understanding of data structures and information content.
Design the architecture for new data and analytics platform to support analytics and data science and machine learning.
Develop complex SQL queries to obtain data from our source systems.
Cascade Financial Services helps thousands of families realize the dream of home ownership by offering mortgage loan solutions customized to the manufactured housing marketplace. Their culture lives in their team members, and they are focused and dedicated to providing a platform for growth.
Own organizational-wide data architecture, defining standards and designs.
Design and develop data pipelines, integrations, and platform features.
Partner with product managers to define new data features and capabilities.
They offer a connected equipment platform for managing mixed assets. The company values quality, continuous learning, and collaboration within a dynamic team environment.
Analyze large, complex datasets to uncover trends and opportunities.
Build and evaluate predictive models to drive decision-making.
Design and analyze experiments (A/B tests) to measure the impact of initiatives.
Hone is an online medical clinic transforming healthcare and enhancing longevity by using cutting-edge scientific advancements to empower individuals to take control of their health. They are a fully virtual, remote-first employer that values their people.
Execute analytical projects from data requirements and client deliverables.
Acquire and aggregate data from various sources, ensuring proper usage.
Work with internal teams to address client issues, deliver findings, and communicate progress.
RRD is a global provider of marketing, packaging, print, and supply chain solutions. They have 32,000 employees across 28 countries and offer creative execution and business process consulting.
Hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP.
Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake.
Proven track record building and deploying ML models for predictive maintenance, anomaly detection, demand forecasting, and root cause analysis.
We are a Digital Product Engineering company that is scaling in a big way. We build products, services, and experiences that inspire, excite, and delight. We operate globally, with over 17000 experts across 39 countries, and foster a dynamic and non-hierarchical work culture.
Build models by executing predefined experiments and templated code within the standard model development paradigm.
Data extraction and preparation for use in solution building.
Lead requirements gathering efforts using your technical and product acumen to identify solutions to stakeholder problems.
Northwestern Medicine focuses on patient interaction and strives to cultivate a positive workplace. They are a leader in the healthcare industry that provides competitive benefits to their employees.