Data Science & Analytics meetup and chat London Friday

London's leading data science networking event - connect with data scientists, ML engineers, and analysts

Data Science & Analytics Networking - London

Join London's leading data science community! Connect with data scientists, ML engineers, analysts, and AI professionals in a collaborative learning environment.

Who Should Attend?

Perfect for London data professionals including:

• Data Scientists & ML Engineers (Python, R, TensorFlow, PyTorch, Scikit-learn)
• Data Analysts & BI Professionals (SQL, Tableau, Power BI, Excel, Looker)
• AI/ML Researchers (Deep Learning, NLP, Computer Vision, LLMs)
• Data Engineers (Apache Spark, Kafka, Airflow, ETL pipelines)
• Business Intelligence Developers and Data Architects
• Students & Career Changers entering data science field

What You'll Experience

• 🤝 Network with London data community
• 💼 Career opportunities and job referrals in data science
• 📊 Share knowledge on latest ML/AI techniques
• 🧠 Learn from peers about real-world data challenges
• 🍻 Relax after work in a friendly, professional setting
• 🚀 Collaborate on data science projects and ideas

Event Details

📍 Where: The Sanctuary House Pub, London. Ask staff for "Social Meetup" reservation.

💰 Cost: £3 online (capacity limited at door)

🆓 Website Registration: Register on our website for easier event booking and occasional free entry offers: https://londontechsocial.com/

💳 Member Pricing: Become a member for cheaper entry if you attend multiple events per month!

💬 WhatsApp Community: Join our London data science network for project collaboration, job postings, and technical discussions!

Event Guidelines

• Support the venue by purchasing drinks/food (no outside items allowed)
• Maintain professional behavior and respect for all attendees
• Bring physical ID if required by venue (call ahead to confirm)
• Photos may be taken - inform host if you prefer not to be photographed

Event updates posted in WhatsApp chat and by email. Reserved area maintained even if host unavailable.

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