Dr. Stephen Galsworthy
Chief Data & Product Officer at Quby
Analytical executive skilled at building high-performing data teams and passionate about developing products with lasting impact for users, business and society. ▸ Creation of business and customer value from data using data science ▸ Effective communicator connecting commercial, product, technology and data domains ▸ Experienced in driving organizational change and the adoption of new technologies ▸ Caring people manager mentoring individuals and teams to reach their full potential ▸ Engaging public speaker and ambassador for applied AI Keywords: machine learning, MLOps, artificial intelligence (AI), data science, data engineering, data strategy, product leadership, innovation, creative, adaptive, change management, digital transformation, continuous improvement, agile working, sustainability
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Feb 2019 - Present
Chief Data & Product Officer
Management board member responsible for creating value from Quby’s data. I’ve overseen the transformation of the organization from a hardware-based business, focused on the white-label ‘Toon’ smart thermostat, to one with data and AI at its core. I’ve driven the required changes to enable Quby (+/- 100 FTE) to offer diverse B2B2C and B2B data-powered software services which now serve as the company’s primary source of revenue. - Data and AI fully integrated into the company strategy. - Put in place a central cloud-based data infrastructure and unified analytics platform to collect and take advantage of petabytes of IoT data. - Deployed real-time monitoring and energy insight services for 500k domestic customers across Europe through partnerships with energy retailers. - Provided additional paid services such as energy forecasting and portfolio segmentation to B2B partners in the energy and banking sectors. - Evolved the organizational setup from having a central data team towards embedding data science and analytics within the product teams, ensuring better data-driven decision making and further adoption of data and ML powered products. - Established an internal ‘Data University’ for knowledge acquisition and transfer, including an introductory ‘Data Science 101’ course offered to all employees regardless of background. - Led the Data Guild (12 FTE) consisting of data scientists, ML engineers, data engineers, analysts, analytics translators and product owners. Actively coached team members to advance their technical and soft skills. - Served as the public face of technology for Quby, advocating the company vision and technical direction both internally and externally through speaking engagements and thought leadership articles. - Introduced agile portfolio management approaches, including a cross-department portfolio board, ensuring continuous roadmap alignment between commercial, product and technology teams.
May 2016 - Feb 2019
Quby - outsmarting energy
Head of Data Science
I built and led the Data Science team, which under my guidance became a core strategic capability allowing Quby to accelerate its transition to a services driven business model. Key contributions - Developed and implemented the data science strategy. - Built the data team from scratch and evolved the composition to meet the demands of a growing organization by adding ML engineering and analytics translation roles. - Established unique machine learning and deep learning capabilities to enable novel services such as ‘Waste Checker’ and ‘Boiler Monitoring’ to be deployed at vast scale (350k+ users, terabytes of data processed daily). Led to an immediate monthly revenue increase of 29% after market introduction in 2017. - Pioneered a cloud-based approach to data analytics with early adoption of the Databricks platform and MLflow for deploying and monitoring ML models.
May 2014 - Nov 2016
Strategic Advisor (part-time)
Supporting the Open Energi management team on a part-time basis after relocating to the Netherlands.
May 2014 - Apr 2016
Smart Energy Consultant
International consultancy work focused on smart energy projects for TNO, the Netherlands Organisation for Applied Scientific Research. Projects included creating standards for asset flexibility and interoperability of EV charging. Key contributions - Developed new technology for the Dutch and European energy markets in collaboration with diverse participants including energy traders, utilities, aggregators, equipment manufacturers and research institutes - Provided a commercial focus to TNO's research derived knowledge, supporting the business development team with market development
Feb 2012 - May 2014
Manager Technology Development & Data Science
My team developed and deployed the algorithms, software and hardware that enabled Open Energi to become the first provider to offer commercial demand side balancing services in the UK. As of 2016, this market had grown to over £100m annually. I reported directly to the COO and was line manager for an experienced team of engineers and data scientists. My role was to execute a technology transformation strategy to expand technical market reach and meet the needs of a growing organization. I was responsible for the technical relationship with Open Energi’s customers, commercial partners and academic institutions and for communicating technical and analytical results to C-level executives. Key contributions - Achieved significant UK business growth, doubling assets under contract, whilst simultaneously overseeing major upgrades to the technical systems - Commercial delivery of new technology for the US market within 9 months - Increasing algorithm performance scores (from ~50% to over 99%) by introducing predictive modelling
Mar 2011 - Feb 2012
Senior Data Scientist
- Developed smart grid control algorithms which led to a performance increase of over 30% and 3 patent applications - Led the internal software, firmware and testing teams to produce a prototype vending machine allowing the company to showcase its technology in the US - Coached junior colleagues and interns
Jan 2010 - Mar 2011
Development of mathematical models to study the effect of bird migratory behaviour upon the spread of avian influenza in collaboration with scientists at the Netherlands Institute of Ecology (NIOO)
Oct 2005 - Jul 2008
University of Oxford
Lecturer and course tutor (Part-time)
I taught mathematics to undergraduate students through both tutorial (2-3 students per time) and class teaching (25-30 students)
Sep 2004 - Jul 2005
Civil Aircraft Aerodynamicist
Designed novel analytical and computational techniques for Computational Fluid Dynamics (CFD) including optimisation of legacy FORTRAN code via the implementation of parallel computing using C++ and MPI
Jul 2001 - Sep 2003
Wide exposure to a large research organisation through internships in multiple departments. Technical experience including: Neural Network analysis of material properties, statistical modelling for gas turbine engines and development of mathematical techniques for aircraft wing design.
2005 - 2009
University of Oxford
Publications in peer-reviewed journals and featured in the New York Times. Development of novel mathematical modelling and computer simulation techniques to predict the spread of plant species.