Dawn Thompson (PhD)

Senior Data Science Manager

Belfast Metropolitan Area

About

A Commercial AI & Data Leader with 7+ years’ experience scaling AI/ML/NLP teams and delivering product driven revenue growth in regulated FinTech environments. I currently lead a 9-person AI function generating over $1.5M ARR with full margin accountability, embedding AI into core offerings to drive measurable business outcomes. I partner closely with Product, Engineering, and Commercial teams to define AI strategy, influence roadmaps, operationalise ML/NLP pipelines at scale, and implement model governance frameworks ensuring regulatory compliance and scalability. I’ve scaled teams, hired cross company, and mentored senior ICs into leadership roles. I define hiring strategies, allocate budgets, and lead cross-functional initiatives that drive enterprise-wide impact beyond the data science function. My work directly drives recurring revenue, optimises delivery efficiency, and aligns AI capabilities with strategic business objectives positioning teams and products for long-term growth.

Experience

  • Smarsh (Full-time · 4 yrs 6 mos)
    • Senior Data Science Manager
      Jan 2024 - Present · 2 yrs 7 mos

    • Data Science Manager
      Feb 2022 - Jan 2024 · 2 yrs

  • Citi (Full-time · 3 yrs 2 mos)
    • Quantitative Analyst VP
      Jan 2021 - Feb 2022 · 1 yr 2 mos

    • Quantitative Analyst
      Apr 2020 - Jan 2021 · 10 mos

      Develop pattern detection models for market abuse behaviours.

    • Senior Data Analyst
      Jan 2019 - Apr 2020 · 1 yr 4 mos

  • Kingspan Insulated Panels, UK & Ireland (2 yrs 4 mos)
    • Senior Chemical Research Engineer
      Aug 2018 - Jan 2019 · 6 mos

    • Chemical Research Engineer
      Oct 2016 - Aug 2018 · 1 yr 11 mos

  • Queens University Belfast (3 yrs 1 mo)
    • PhD Student
      Sep 2013 - Sep 2016 · 3 yrs 1 mo

      "The role of Nanoparticles in Thermal Energy Storage Systems" - The aim of the PhD was to identify potential ways in which renewable energy could become more appealing and efficient by storing the energy produced, for example by a wind turbine or by residual heat, so that energy is readily available for the consumer in both peak and off peak hours. We looked at this both in terms of an energy storage device or as thermal insulation. An ideal thermal energy storage device should be easy and fast to charge and discharge, while sustaining minimal losses when inactive. The first aspect requires a search for materials with high thermal conductivity while in contact with the storage medium (an organic or aqueous-based substance). Amongst the many possibilities, we focused here on nanoparticles within a fluid, i.e. a nanofluid, as a means to store latent heat that is produced for example by a renewable source. The Thesis focused on the knowledge gained from simulations and experiments to propose modifications of the nanoparticles-surfactant-base fluid system to improve heat conduction for use in thermal energy storage devices. PhD was combined with a University in China, the Beijing Institute of Technology, and throughout my studies I traveled and performed collaborative work there. Having made connections at the "Offshore Energy and Storage Symposium, OSES" I was able to carry out some experimental work at the University of Birmingham.

    • Laboratory Demonstrator/Teaching Assistant
      Sep 2013 - Sep 2016 · 3 yrs 1 mo

      Demonstrating and helping students with their Laboratory studies. Taking Design Project classes and helping the students understand the fundamentals of Chemical Engineering.

    • STEM Ambassador
      Sep 2013 - Sep 2016 · 3 yrs 1 mo

      Promote Chemical Engineering and other STEM subjects, to younger students who are post primary. Presented to 16-18year old students that were interested in chemistry at an event held by Queen's University - Spec in a Suitcase. This event involved using an Infrared spectrometer and showing the students how this instrument can be useful in forensic analysis. I regularly present at UCAS events, demonstrate experiments and conduct tours, for students interested in a Degree in Chemical Engineering, following each event I try to answer questions that the students may have about what to do next regarding subject choices and chemical engineering.

  • Contract Chemical Engineer at Harbin Institute of Technology
    Jul 2014 - Aug 2014 · 2 mos

    Working within a team to develop a kinetic model for the Selective Catalytic Reduction mechanism for the reduction of NOx emissions over a vanadium type catalyst.