Data Quality Assurance Lead

at  Intent HQ

ABOUT INTENT HQ

Recognised by the Financial Times as one of the FT1000 Fast growing companies in Europe in 2022 and 2023, Intent HQ is a leader and innovator in Customer AI Analytics and Data Science with a blue chip international enterprise customer base and solid financial backing from our investors. Our mission is to become the world’s preeminent Customer Intent platform by bringing together privacy-first signals intelligence, proprietary behavioural AI/ML analytics & uniquely accessible enterprise insights into a single platform that organisations will use to build more genuine, sustainable and profitable relationships with their customers. . Our initial focus solved problems for clients in the telecommunications sector, including Verizon & Orange. We have since expanded into the Financial Services, Retail and Social Media sectors including HB Reavis and Zurich Group as clients to name a few.
Our clients typically have tens of millions of customers and billions of interaction events each day. We have developed our platform to handle data at this enormous scale efficiently. Intent HQ is unique because we’ve focused on understanding customer interaction data. We do the hard-specialised work leaving our clients free to focus on integrating the insight into their business, with one Client seeing an additional £26m annual revenue as a result of using our products and services.
Intent HQ is an exciting place to work, we are very proud to have made our debut on the FT1000 Fastest Growing Companies in Europe for 2022! We have a talented team of circa 100 -people (and growing!) based in & around London, Barcelona, Lisbon and New York & Tel Aviv, collectively speaking over 15 languages!

THE OPPORTUNITY:

We are looking for a dedicated Data QA Lead to oversee our data quality and machine learning model validation processes. The ideal candidate will possess deep expertise in data quality assurance, experience with machine learning models, and strong analytical skills for exploratory data analysis. This role also requires proficiency in monitoring and supporting data pipelines to ensure the seamless flow and integrity of data across our platforms.

• Data Quality Assurance:
• Develop, implement, and maintain rigorous QA processes to ensure the accuracy and quality of data.
• Lead efforts in automating QA testing of data stores, data processing, and other related systems.
• Machine Learning Models QA:
• Coordinate with data science teams to ensure the integrity and accuracy of machine learning models.
• Design and implement QA processes for pre-production and production models to ensure performance metrics are met.
• Exploratory Data Analysis:
• Conduct exploratory data analysis to uncover hidden patterns, correlations, and insights.
• Work with data science and business teams to refine data analysis based on the strategic needs of the business.
• Data Pipelines Monitoring and Support:
• Oversee the monitoring of data pipelines for performance issues, bottlenecks, and data integrity anomalies.
• Lead troubleshooting and support for data pipeline issues, ensuring quick resolution and minimal disruption.