
What we’re about
This is a group for anyone interested in Data Science, Big Data, Analytics and Technology trends. We started this group to build a community to discuss general insights into the market and share personal experiences of working and operating in this area. We hope to cover skills shortages, technological advancements and organisational implications in Data Science and Technology during our series of meetups. All skill levels are welcome.
Upcoming events (2)
See all- Diversity in Tech - EdinburghPeople's Postcode Lottery, Edinburgh
Diversity in Tech
Join us on Thursday 18th September in the People’s Postcode Lottery's Edinburgh office for an evening of Diversity in Tech.
Diversity in Tech is a group formed in 2025 with the intention of encouraging more diversity in tech, both within People’s Postcode Lottery and in the wider tech community.
They facilitate internal and external events, with an aim to promote learning and inclusivity and to celebrate everyone that works in tech or is in interested in it.
MBN are excited and honoured to partner with the group to host a series of events promoting all types of diversity.
To kick off the series we’ll be discussing the importance of diversity and hearing inspiring stories on neurodivergence and diversity in leadership / building Data & AI Teams.Anna Skelly, Senior Data Engineer at People’s Postcode Lottery will do a short introduction with an overview of the Diversity in Tech group.
https://www.linkedin.com/in/annaskellyShannon McKechnie, Managing Director at MBN will chair the evening.
https://www.linkedin.com/in/shannonmckechnieWe have 2 exceptional speakers.
Damien Anderson, Teaching Associate and Programme Leader for the MSc in Software Development at the University of Strathclyde.
Against the Odds: My Journey from Self-Doubt to Self-Belief
Growing up there is an ideal path that everyone is encouraged to follow: do well at school, go to University, get a degree, get a job, win: what about those that don’t fit the mould?
For Dr Damien Anderson, life has dealt speed bumps that required forging a different path, battling self-doubt, and facing moments where success seemed out of reach.
In this deeply personal talk, Damien shares his journey from struggling to becoming a university lecturer, researcher, and award-winning scholar.
Through honest reflections, moments of humour, and hard-earned lessons, he will explore the role of resilience, mentorship, and self-acceptance in building a fulfilling career.
This is not just a story about overcoming challenges, it’s about embracing difference, recognising strengths, and using them to thrive.Speaker Bio
Dr Damien Anderson is a Teaching Associate and Programme Leader for the MSc in Software Development at the University of Strathclyde. His career path has been anything but linear: from early struggles in education to earning Scotland’s top PhD scholarship from the Carnegie Trust, Damien’s journey is a testament to perseverance and self-belief.
Passionate about creating inclusive environments where all minds can flourish, Damien blends his academic expertise with his lived experience to inspire others to see difference as a strength. Today, he champions approaches to learning and working that celebrate the unique ways people think, learn, and solve problems.
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Edafe Onerhime, Enterprise Data Architect at Royal London.Executive Director | Data Leader | Key Note Speaker | Author | Responsible AI, Data Science, Analytics, Data Strategy, Data Architecture
The importance of diversity when building Data & AI teams.
Edafe Onerhime is a data specialist, speaker, and writer. She has spent the last twenty years leading on the human element of data for impact. She is a leading voice on diversity, decolonisation and making data useful, usable, and put into use.Can you please register here - https://www.eventbrite.co.uk/e/diversity-in-tech-edinburgh-tickets-1604773072459?utm-campaign=social&utm-content=attendeeshare&utm-medium=discovery&utm-term=listing&utm-source=cp&aff=ebdsshcopyurl
- Making AI Real: From Building Your Own Tools to Keeping Models in CheckBJSS, Glasgow
Making AI Real: From Building Your Own Tools to Keeping Models in Check
Can you please register here -
AI moves fast. New frameworks and flashy models appear every week, but jumping on every trend won’t help you build products that last. At this event, we’re bringing two voices with very different perspectives - but the same mission: making AI practical, reliable, and trusted.
Shannon McKechnie, Managing Director at MBN will be the chair for the evening.
Talk 1
Richard Bownes, Head of AI Solutions @ vector8
In a World of Platforms, Bring Your Own Tooling: Eating Your Own (AI) DogfoodRichard (Head of AI Solutions at Vector8) shares why his team ditched the hype cycle and built their own AI stack. He’ll show how knowing your tools inside out lets you move faster, build stronger, and outpace the competition.
Talk 2
Maria Kalantzak, Senior Validation Manager, AI @ Virgin MoneyValidating AI in Finance: Compliance, Trust, and What’s Next. Maria will take us inside the world of AI model validation. From fraud detection to GenAI, she’ll break down how banks make sure models stay compliant, fair, and fit for purpose - while keeping up with the latest AI trends.
Expect real stories, sharp lessons, and plenty of takeaways on how to build AI that actually works in the wild.Speakers bios.
Richard Bownes, Head of AI Solutions @ vector8
Richard is Head of AI Solutions at Vector8 where he looks after solutions architecture, delivery, internal product development and developer advocacy. From an academic background in machine learning to internet scale public sector recommendations, NLP start ups and Data and AI consultancy Richard brings interdisciplinary and industry experience to solve meaningful and challenging problems for clients of all sizes.Maria Kalantzak, Senior Validation Manager, AI @ Virgin Money
Currently leading the Model Validation of AL/GenAI and fraud models in Virgin Money. Previous I worked in the innovation team of Virgin Money and Experian as model developer leading the development of fraud models. Her work in finance comes after a switch in careers in drug discovery and genetic engineering , where she acquired key skills around data science.