About this Event
Want to hear directly from the teams building real‑world solutions and learn how to stand out when applying for roles?Join us for an afternoon of talks, insights and networking with leading data‑driven organisations, right here at the University of Manchester. This event is co‑hosted by Richard Allmendinger (University of Manchester) and Charlie Moore (Gravitas Recruitment Group), bringing together academic insight and deep industry connectivity to give students genuine exposure to careers in data.
What to ExpectYou’ll hear from data teams at organisations including:Barclays • Fuzzy Labs • Protector Insurance • Zally • UiPath • HMRC
(plus additional companies to be announced)Each company will deliver a 30‑minute session covering:
- What the company does and how data, ML and AI drive impact
- Exciting projects and real‑world problems their data teams are solving
- Recruitment insights - how their hiring process works and what they look for
- Interview and application tips to help you stand out
- Current job and internship opportunities for students and graduates
- Live Q&A with the presenters
Location 3rd Floor Hive Space, AMBS
Event Schedule14:00 – 17:00
Six company talks (30 minutes each), with a short break halfway through
17:00 – 17:30+
Networking & Mix‑and‑Mingle
Speak directly with the presenters, ask follow‑up questions, and build meaningful connections, with food and drinks provided.
Why Attend?This isn’t just a talk series, it’s a genuine career‑building opportunity.Students attending this event in previous years have:
- Made direct connections with hiring managers and data professionals
- Received interview opportunities and referrals
- Gone on to secure internships and full‑time roles at companies they met on the day
Who Should Attend?
- Students studying Data Science, AI, Business Analytics, Computer Science, Mathematics, Statistics, Engineering, or related disciplines.
Event Venue & Nearby Stays
Alliance Manchester Business School, Booth Street West, Manchester, United Kingdom
USD 0.00

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