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!

Why Join Us:

• Exciting Work Environment: Work on cutting-edge technology at the intersection of AI and data analytics.

• We are Winners: AI Company of the year 2024 & Best in Tech Employer Women in Tech awards 2022 & 2023

• Growth Opportunities: Advance your career in a fast-paced, innovative industry.

       Hybrid working: Based in our London office 2-3 days per week and the rest of the            week remote

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.
 

Key Responsibilities

• 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.

What we’re looking for:

• 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.

Diversity & Inclusion

Intent HQ is an equal opportunities employer with an ethos of commitment to promoting and practicing diversity, equality and inclusion at work. At IHQ, different perspectives, ideas and experiences are valued and respected, with fair and equal opportunities provided for all. Our diversity and inclusion efforts have been recognised with us winning two consecutive Women in Tech UK Awards, under the Best Tech Employer (51-149 Employees)’ category & being shortlisted for the Best Employer for Parental Support award - an achievement we are very proud of. This year in 2024 we have been nominated again for the Best Tech Employer and our in house recruiter has been shortlisted for the Best In house Recruiter award!

Our Culture

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.

Benefits

• 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