Data Quality Assurance Lead

• 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., Working for Intent HQ, you have the opportunity to work with cutting edge technology in an environment where you are encouraged to think and act outside traditional methods. We are a growing business with a flat structure meaning everyone is visible and able to make an impact, not just in their own role, but across the business on a daily basis. We promote a collaborative, innovative and sociable culture, oriented towards performance and competitive advantage. Our DNA is made up of flexibility to all staff with a family friendly approach and focus on personal development. We have high expectations and pride ourselves on our cultural standards.

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., * Bachelor’s or Master’s degree in Data Science, Computer Science, Information Technology, or a related field.

• Proven leadership experience in Data QA or a similar role with a strong focus on quality assurance of data and machine learning models.

• Strong experience with SQL and programming languages like Python or R for data analysis and pipeline development.

• Deep understanding of data modelling, data access, and data storage techniques.

• Familiarity with machine learning frameworks and data visualization tools (e.g., TensorFlow, Scikit-learn, Tableau, Power BI).

• Exceptional problem-solving skills and the ability to lead a team under tight deadlines.

• Excellent communication skills for effective collaboration across teams and with senior management.

• Flexible working

• Free breakfast daily (when in the office)

• 26 days holiday (increasing with service)

• Pension scheme

• Income Protection with Employee Assistance Programme

• Life Assurance

• Oliva Mental Health platform and counselling

• Higher than statutory maternity/paternity benefits

• Work socials

• Wellbeing programme

• Cycle to work scheme

• Training opportunities

If you require alternative methods of application or screening, you must approach the employer directly to request this as Indeed is not responsible for the employer’s application process.

St Albans House,SW1Y 4QX,London, London SW1Y 4QX