The Qualities That Great Data Scientists Share – and How to Assess Them

From ladders to lattices: the career framework your Data team can actually use

Beyond the Model: Inspiring Purpose and Belonging in Data Science Teams

Data Vibe Coding with AI: Prompting Strategies That Actually Work

Panel: How to Ace the Technical Interview: Insider Secrets from the Other Side of the Table

Panel: The Future of AI: Are We Really on the Path to AGI, or Do We Need a Quick Turnaround Now?

Your Next Step in Tech Inside the DSF Mentorship

Negotiate your offer with confidence

How to know if a data team is bankrupt: The questions you should be asking in an interview

Job Hunting: A Guide for the Neurodivergent

Panel: Comeback Stronger: Masterclass for Tech Career Returners

From Questions to Career: How Curiosity and Empathy Helped Me Find My Place

Beyond Code: Why Community Engagement Amplifies Your Career

Panel: How to Land the Interview You Want

Removing barriers: how you can unlock your potential and accelerate your career in AI and tech

DSF Career Day 2025

Globality vs Locality: Capturing Information at Different Scales in Retail Graph Networks

Deploying agentic GenAI systems to production

Analytics for RevOps Model Factory Approach

Euroleague Basketball Analytics with Python, Knowledge Graphs and Simulations

Unlocking Open Banking: From Underwriting to Retail Insights & Market Research

Career Trekking across the Data Landscape

Chaos to Clarity: Predictive Dashboards for Smarter Real Estate Decisions

Fundamentals of Building Generative AI Services

Advanced SQL – top tips for dealing with real world data

High quality experimentation at Deliveroo: The vision, implementation and reflection

Causal inference: how we are applying causal methods in retail data science, key tips and learnings

Leading as a Data Professional

Beyond the Buzzword: Building a Truly Data Driven Organization

Cooking with Data: How We Built ML Models to Power FEAST

Causality - Mental Hygiene for Data Science

Responsible AI in the business corporate world

Mastering Synthetic Data Generation in Sports Analytics

Why do old Regressions still work in Experimentation?

Agent-based models 101

How to approach an "Understand Analysis"

Unmasking Bias in AI: Challenges, Consequences, and Better Practices

Elevate Your RAG Game: From Good to Great - Data Science Festival

Twenty Thousand Tasks Under the Queue - Data Science Festival

Algorithms in an Analog Market Ki’s $1B Insurance Innovation - Data Science Festival

Iterative experiments to enable high impact releases in a Platform Business - Data Science Festival

Unlocking A/B Testing for B2B - Data Science Festival

AI is the Future - But is Your Data Stuck in the Past?

Responsible AI by design: a non negotiable

Shifting Left: Getting your data earlier, smarter and cheaper

Building your first LLM app into Production at a traditional industry

Human-Agent Collaboration in Data Science & AI

Unlocking Retail Success: How AI, Machine Learning & Optimization Are Transforming Personalization

Supply Path Optimisation - Building Machine Learning Solutions

From Academia to Industry: Data Scientists Share Their Journey

Data Privacy, AI Regulation, and Beyond: Legal Essentials for Data Scientists

Panel discussion: Are we really on the path to AGI or do we need a quick turnaround now?

Making Generative AI Useful for Enterprises: From Research Ideas to Deployment

Adventures in RAG: Are Chocolate Covered Pickles Delicious? - Data Science Festival

Moving from Offline to Online Machine Learning with River - Data Science Festival

Using Generative AI, and Python to Remove Personally Identifiable Information from your Data

Everything you know about your customer's will soon be wrong - Data Science Festival

Marketing Attribution: Make the most of your data - Data Science Festival

Structuring Unstructured Text using generative AI: The key to information extraction

High Octane Streaming: Managing Connected Car Data Flows at Toyota Connected Europe