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Company Description
The Data Gals by AI Connect is a specialist data and AI talent partner on a mission to empower women in STEM while delivering high‑performing recruitment solutions for organisations across the UK, Europe, and North America. Blending community impact with commercial delivery, the firm focuses on critical data disciplines where talent drives measurable outcomes: Marketing Effectiveness and MMM, Data Engineering and Business Intelligence, Data Science and AI, and Advanced Analytics. Clients rely on The Data Gals for speed and precision—permanent shortlists are typically delivered within 3–5 working days and contractors within 48 hours, supported by a 93% fill rate. Their network spans senior marketing scientists, heads of MMM, freelance econometricians, data engineers, ETL specialists, BI developers, data scientists, and ML/AI experts. Candidates commonly bring hands‑on R and Python expertise and experience building Bayesian, linear, and logistic models, running incrementality and A/B tests, attribution and geo‑testing, and executing media optimisation. On the engineering and BI side, the firm prioritises practitioners who design and optimise pipelines, uphold data quality, integrity, and performance, and translate insights through impactful visualisation. In data science and AI, The Data Gals secures talent across predictive modelling, NLP, computer vision, and deep learning, while Advanced Analytics capability spans data mining, statistical analysis, and tooling such as R, Python, and SAS. The team partners directly with startup founders to build analytics teams from first hires, and supports scale‑ups and established brands to transform data functions and leadership benches. Beyond recruitment, The Data Gals advances diversity, equity, and inclusion through a dedicated DEI partnership and a structured mentorship programme, which has demonstrated materially better career outcomes for participants. As a purpose‑driven, results‑oriented recruiter, The Data Gals connects diverse data talent with ambitious companies and helps reshape the data and AI landscape—one career and one team at a time.
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