

# Event Details

- **Event Name**: Data Science, Machine Learning & AI Industry Outreach
- **Event Start and End Date**: Wed, 29 Apr, 2026 at 02:00 pm – Wed, 29 Apr, 2026 at 05:30 pm (+01:00)
- **Event Description**: Data Science, Machine Learning &amp; AI Industry Showcase featuring real‑world data science and AI projects with industry partnersAbout this EventWant 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 impactExciting projects and real‑world problems their data teams are solvingRecruitment insights - how their hiring process works and what they look forInterview and application tips to help you stand outCurrent job and internship opportunities for students and graduatesLive Q&amp;A with the presentersLocation 3rd Floor Hive Space, AMBSEvent Schedule14:00 – 17:00Six company talks (30 minutes each), with a short break halfway through17:00 – 17:30+Networking &amp; Mix‑and‑MingleSpeak 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 professionalsReceived interview opportunities and referralsGone on to secure internships and full‑time roles at companies they met on the dayThe combination of industry insight, honest recruitment advice, and informal networking makes this a unique chance to turn conversations into real outcomes.Proven SuccessThis is the third time we’ve run this event, building on the success of previous years. Past participating organisations include:Stagecoach • Jet2 • Co‑op • Barclays • Pets at Home • Manchester Airport Group • Department for Business &amp; Trade • MONY Group • Airtime • Ofcom • HyperFinity • Azzurro AssociatesWho Should Attend?Students studying Data Science, AI, Business Analytics, Computer Science, Mathematics, Statistics, Engineering, or related disciplines.Spaces are limited, register early to secure your place.Don’t miss this opportunity to learn from industry leaders, build your network, and potentially take the next step in your data career.
- **Event URL**: https://allevents.in/manchester/data-science-machine-learning-and-ai-industry-outreach/100001986990406795
- **Interested Audience**: 
  - total_interested_count: 0

## Ticket Details

- **Ticket Price Range**: min: 0, max: 0, currency: USD

## Event venue details

- **city**: Manchester
- **state**: EN
- **country**: United Kingdom
- **location**: Alliance Manchester Business School
- **lat**: 53.4673902
- **long**: -2.237491900000009
- **full address**: Alliance Manchester Business School, Booth Street West, Manchester, United Kingdom

## Event gallery

- **Alt text**: Data Science, Machine Learning &amp; AI Industry Outreach
  - **Image URL**: https://cdn-az.allevents.in/events3/banners/aa30527443bc0752768c75286f1082992923e5446ef9cbbb1583ff19a8f80b32-rimg-w500-h298-dc161719-gmir.jpg?v=1775735528

## FAQs

- **Q**: When and where is Data Science, Machine Learning & AI Industry Outreach being held?
  - **A:** Data Science, Machine Learning &amp; AI Industry Outreach takes place on Wed, 29 Apr, 2026 at 02:00 pm to Wed, 29 Apr, 2026 at 05:30 pm at Alliance Manchester Business School, Booth Street West, Manchester, United Kingdom.
- **Q**: Who is organizing Data Science, Machine Learning & AI Industry Outreach?
  - **A:** Data Science, Machine Learning &amp; AI Industry Outreach is organized by Rachel Kenyon | Business Engagement Lead for Fintech, LegalTech and Digital Trust & Security |  The University of Manchester.

## Structured Data (JSON-LD)

```json
[
    {
        "@context": "https://schema.org",
        "@type": "Event",
        "name": "Data Science, Machine Learning &amp; AI Industry Outreach",
        "image": "https://cdn-az.allevents.in/events3/banners/aa30527443bc0752768c75286f1082992923e5446ef9cbbb1583ff19a8f80b32-rimg-w500-h298-dc161719-gmir.jpg?v=1775735528",
        "startDate": "2026-04-29T14:00:00+01:00",
        "endDate": "2026-04-29T17:30:00+01:00",
        "url": "https://allevents.in/manchester/data-science-machine-learning-and-ai-industry-outreach/100001986990406795",
        "eventStatus": "https://schema.org/EventScheduled",
        "location": {
            "@type": "Place",
            "name": "Alliance Manchester Business School",
            "address": {
                "@type": "PostalAddress",
                "streetAddress": "Booth Street West",
                "postalCode": "M15 6PB",
                "addressLocality": "Manchester",
                "addressRegion": "EN",
                "addressCountry": "GB"
            },
            "geo": {
                "@type": "GeoCoordinates",
                "latitude": "53.4673902",
                "longitude": "-2.237491900000009"
            }
        },
        "eventAttendanceMode": "https://schema.org/OfflineEventAttendanceMode",
        "description": "Data Science, Machine Learning & AI Industry Showcase featuring real‑world data science and AI projects with industry partners",
        "offers": [
            {
                "@type": "AggregateOffer",
                "availability": "https://schema.org/InStock",
                "priceCurrency": "USD",
                "availabilityStarts": "2026-04-09",
                "availabilityEnds": "2026-04-29T17:30:00+01:00",
                "validFrom": "2026-04-09",
                "lowPrice": "0.00",
                "highPrice": "0.00",
                "price": "0.00",
                "url": "https://allevents.in/manchester/data-science-machine-learning-and-ai-industry-outreach/100001986990406795"
            },
            {
                "@type": "Offer",
                "availability": "https://schema.org/InStock",
                "priceCurrency": "USD",
                "availabilityStarts": "2026-04-09",
                "availabilityEnds": "",
                "validFrom": "2026-04-09",
                "url": "https://allevents.in/manchester/data-science-machine-learning-and-ai-industry-outreach/100001986990406795",
                "price": 0,
                "name": "General Admission"
            }
        ],
        "organizer": [
            {
                "@type": "Organization",
                "name": "Rachel Kenyon  Business Engagement Lead for Fintech LegalTech and Digital Trust & Security   The University of Manchester",
                "url": "https://allevents.in/org/rachel-kenyon-|-business-engagement-lead-for-fintech-legaltech-and-digital-trust-and-security-|-the-/19486843",
                "description": "Whether you’re an international blue chip, an ambitious SME, or a charity with an eye for innovation, a business engagement partnership with The University of Manchester can have a significant impact on your organisation.\r\nGain fresh insights to inform your business strategy, leverage new technology to innovate or boost efficiency, or invest in the next game-changing invention in order to get ahead of the game – these are just some of the ways that access to University of Manchester research can help you.\r\nOur dedicated business engagement team can put you in direct contact with experts who can help you achieve your objectives and face future challenges with confidence. From providing business solutions to nurturing talent, we will work with you to build a strategy for success."
            }
        ]
    }
]
```