Top Trending Data Scientist Speakers for Your Next Event in 2025
In 2025, data science remains at the forefront of business innovation, transforming strategic decisions across every industry. The U.S. Bureau of Labor Statistics projects a 36% increase in data science roles between 2021 and 2031, far exceeding the average growth across all professions, reflecting the soaring demand for data expertise.
Furthermore, global spending on big data analytics is projected to reach $230.6 billion by the end of 2025, underscoring the significant investment and priority businesses place on data analytics.
What are the Benefits of Data-Driven Strategies?
Organisations utilising advanced data analytics consistently achieve substantial returns, with Nucleus Research recently revealing a median ROI of $13.01 for every dollar invested in analytics initiatives. This underscores the tangible and significant benefits organisations gain from implementing effective data-driven strategies, including improved operational efficiency, enhanced customer satisfaction, and accelerated business growth.
Why is Data Science Essential for Businesses in 2025?
In today’s fast-paced digital world, data science is crucial for business success. It enables companies to analyse large data sets, identify trends, and make predictive decisions, resulting in faster, smarter actions. With McKinsey forecasting a U.S. data scientist shortage of over 50% by 2026, demand is clearly rising. Data science supports real-time decisions, personalisation, and innovation through market insight and better product development. As global data grows, using it effectively is key to long-term, sustainable growth.
Who are the Top Trending Data Scientist Speakers for Your Next Event in 2025?
Drawing on exclusive feedback from official event polls conducted at 285 AI-focused conferences and summits between 2022 and 2024, The AI Speakers Agency has curated a trusted list of the Top Trending Data Scientist Speakers to Watch in 2025.
- Heather Dawe
- Professor Hannah Fry
- Dr Hubert Etienne
- Allie Miller
- Andrea De Mauro
- Sarah Armstrong-Smith
- Dame Wendy Hall
- Sanjeevan Bala
1.) Heather Dawe
UK Head of Data at UST Global, Director of Data Scientists Limited & Co-Author of ‘Responsible AI in the Enterprise’
Heather Dawe is the Chief Data Scientist and Head of Responsible AI at UST, where she champions the integration of ethical frameworks into the development and deployment of AI systems. With over 25 years of experience in data science across sectors such as government, healthcare, and finance, she has built and led multidisciplinary teams to deliver impactful data-driven solutions. Heather is a strong advocate for fairness, transparency, and accountability in AI, co-authoring Responsible AI in the Enterprise. Her work positions her as a leading voice in aligning data science with societal values and sustainable technological progress.
2.) Professor Hannah Fry
Professor of Public Understanding of Mathematics at Cambridge, BBC Presenter & Author of Hello World, Transforming AI Awareness Globally
Professor Hannah Fry is Professor in the Mathematics of Cities at University College London. She applies mathematical modelling to understand complex social systems, exploring urban dynamics, human behaviour, and epidemics through the lens of data. Beyond academia, Hannah is a celebrated science communicator, translating intricate data science concepts into engaging content through documentaries, books, and podcasts. Her ability to bridge rigorous analysis with accessible storytelling makes her a powerful advocate for data science as a tool for understanding and improving modern life.
3.) Dr Hubert Etienne
Founder & CEO of Quintessence AI, Former Meta Global Generative AI Ethics Lead, Paris AI Conference Chair & Computational Philosophy Pioneer
Dr Hubert Etienne is President of Quintessence AI and formerly served as Global Generative AI Ethics Lead at Meta. With a background in philosophy and computational ethics, Hubert’s work bridges the theoretical and practical dimensions of data science. He develops frameworks that enable the responsible deployment of AI technologies, ensuring alignment with societal values and ethical principles. His contributions guide organisations in navigating the complex moral landscape of data usage, underlining the importance of ethical considerations alongside technical innovation.
4.) Allie Miller
Former Global Head of Machine Learning Business Development, Startups & Venture Capital for Amazon Web Service
Allie Miller is the former Global Head of Machine Learning Business Development for Startups and Venture Capital at Amazon Web Services. She has launched and scaled AI initiatives across industries, guiding entrepreneurs and researchers on practical applications of machine learning. As a data scientist, Allie combines technical expertise with business acumen to drive innovation, foster responsible AI practices, and democratise access to cutting-edge tools. A passionate advocate for diversity in tech, she speaks widely on the transformative role data science plays in solving complex global challenges.
5.) Andrea De Mauro
Author of ‘Data Analytics Made Easy’ & Former Director of Analytics of P&G
Andrea De Mauro is a data analytics expert with nearly 20 years of experience leading data-driven transformations. He has held senior roles including Head of Data & Analytics at Vodafone and Director of Business Analytics at Procter & Gamble. Andrea focuses on using advanced analytics and AI to drive operational efficiency, inform strategy, and fuel innovation. As an author and academic, he actively contributes to the field of data science through teaching and publishing, highlighting how information can be converted into intelligence that powers modern enterprises.
6.) Sarah Armstrong-Smith
Chief Security Advisor at Microsoft & Recognised on ComputerWeekly’s longlist of the UK’s Most Influential Tech Leaders 2023
Sarah Armstrong-Smith is the Chief Security Advisor at Microsoft EMEA, with a deep background in data protection, cyber resilience, and digital risk. Her 20+ year career includes managing major data incidents and advising on secure data infrastructure. Sarah works closely with data professionals to build systems that are not only innovative but also secure and privacy-conscious. She champions responsible data governance, recognising that the success of data science hinges on public trust and robust security.
7.) Dame Wendy Hall
Regius Professor of Computer Science at the University of Southampton & Co-Chair of the UK Government’s Artificial Intelligence Review
Dame Wendy Hall is Regius Professor of Computer Science at the University of Southampton and a trailblazer in the field of web science. Co-founder of the Web Science Research Initiative, she has advanced understanding of the relationship between data, technology, and society. Her contributions to the development of the Semantic Web exemplify the role of data science in structuring and analysing the vast digital landscape. Wendy advocates for ethical data practices and digital governance, highlighting how data scientists must shape technologies that reflect societal values and inclusivity.
8.) Sanjeevan Bala
Group Chief Data & AI Officer at ITV & Former Managing Director at eMpresto
Sanjeevan Bala is the Group Chief Data & AI Officer at ITV, leading the broadcaster’s transformation into a data-first organisation. With previous leadership roles at Channel 4 and Dunnhumby, he has consistently championed the use of data science to enhance audience experiences and business outcomes. Sanjeevan integrates AI and analytics to deliver personalised content, optimise commercial strategies, and foster innovation, demonstrating the strategic power of data science in media.
Hire a Data Science Speaker Today
Engage with these leading data science experts to inspire, inform, and transform your organisation. Whether your focus is AI ethics, data-driven innovation, or cybersecurity, our speakers offer valuable insights tailored to your needs. To secure a data science speaker for your 2025 event, contact our dedicated booking agents on 0203 410 9897 or complete our online contact form.
- Top 10 Lists
- 28 April, 2025
