OVO Energy
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Katie Russell is Head of Data & Analytics at OVO Energy, leading a team focused on deriving insights to inform and inspire action - for customers and for OVO as a business. As part of a technology led business, leveraging data using artificial intelligence keeps…
Ruth is a Data Scientist at Skyscanner in London focusing on building machine learning models for online advertising. Previously, she was a researcher at the Oxford Internet Institute (University of Oxford) studying collective memory based on online information seeking patterns. She obtained her PhD at…
Bio: Shachar Meir leads the Ads Data Engineering team at Facebook London, helping make advertising work for everyone. Prior to Facebook, Shachar had spent over a decade making organisations data-driven, with companies such as PayPal, WorldRemit, Pontis, and more, building global teams all across the spectrum,…
Talk Abstract: How to create business impact with Data Science. Machine learning and AI have transformed Deliveroo. Surprisingly, we find that this was achieved not by the latest theory or libraries, but from rigorous application of the principles of basic research: experimentation, incrementalism, and a bias…
Bio: Sandi Conroy is a Data Science Manager for the Community Integrity team in London and has been at Facebook for four years. She is passionate about working on the Community Integrity team, which is trying to build a safe and inclusive community for Facebook…
Bio: Tadas is a data scientist at Zopa who is passionate about using machine learning and technology to bring more transparency and efficiency to retail finance. Prior to Zopa, he was an early employee of the fintech start-up Oodle Finance. He holds a master’s degree in…
N Brown Group
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Bio: Rob is part of the N.Brown Data Science team. N.Brown is an online fashion retailer trading through brands including JD Williams and Simply Be. Rob’s main focus at work is developing the in-house econometric models which try to work out the long-term payback from…
Bio: Ross is a data engineer developing analytical data warehouse at Zopa. He has a PhD from the University of Edinburgh in Experimental Particle Physics, a field that first spurred his interest in big data. Prior to Zopa he worked at the BAE Systems as…
Bio: Jared Conway is a Data Scientist in the Growth team at Deliveroo. The Growth team is focused on exploratory and marketing initiatives that aim to grow Deliveroo’s user base.
Deliveroo
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Bio: Ben Sowden is a Data Scientists at Deliveroo in the Logistics Algorithms team whose mission is to optimise the logistics network and dynamically manage demand to meet the available supply.
Marco Bertetti is a Data Scientist at Skyscanner based in London, who has worked both in using reinforcement learning for mobile app content, and in shaping the structure and integrity of Skyscanner's logging and data. Before joining Skyscanner, he has worked on different problems for…
Solutions Architect at Qubole - EMEA.
Managing Director, EMEA at Cervello
Kat has been working for SAS for over a 5 years as an analytics consultant, based originally in the UK and joined the Irish team back in October 2017. In her 5 years at SAS Kat has gained experience building analytical solutions to solve business…
Bank of Ireland
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Fabio is a Data Scientist in Customer Science Team in Bank of Ireland. His activities cover Experiment Design, ROI Evaluation, Propensity Modelling and Data-Driven Attribution. He holds a Master in Network Engineering and a PhD in Data Mining from Politecnico of Turin.
Bank of Ireland
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Jamie Renehan is an Analytics Manager and qualified Accountant with 15 years experience across Financial Services, Data & Analytics. Jamie leads the Customer Analytics team at Bank of Ireland, working with rich Big Data sets using the latest Data Science & Analytics tools to provide…
Walmart,Store No. 8
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Jadran works as Senior Deep Learning engineer for technology incubation arm of Walmart, Store No. 8. His work includes design and scaling of large neural networks in domains of analytics and machine vision. Before joining Walmart, he worked for Accenture Labs, IBM Watson division and…
Marian works as an independent consultant data scientist and actuary. She has worked closely with the healthcare sector in recent years, using statistical modelling and data mining to support clinical and operational excellence, decisions on resource allocation, data governance and predictive modelling.
Trinity College Dublin
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Dr. Conor McGinn is an Assistant Professor and co-founder of the Robotics And Innovation Lab (RAIL) in Trinity College Dublin. He holds a degree in mechanical engineering and a PhD in robotics. Conor is passionate about robots and has particular interests in robot design, human-robot…
Dave has over twelve years analytical experience in high traffic international websites across a number of online industries including Finance, Travel and Paid Content. He is passionate about telling stories with data and helping companies succeed online.
Steph is the founder of a consultancy in the UK. Her talks, blog posts, conferences, and business all have one thing in common – they help people get started with data science. Steph holds the Microsoft MVP award for her community contributions. In her spare…
Hello Fresh
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Rocco De Rosa is a Senior Data Scientist that joined HelloFresh 5 months ago. Before that, he was Head of Data Science at Warwick Analytics where he worked on the R&D, Design and Development of an automatic Machine Learning platform for unstructured data prediction via…
Hello Fresh
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Florian Bonnet is Director Product for HelloFresh. He joined the company in May 2016 to be the Head of CRM before taking his current position at the end of 2017. Florian obtained a PhD in Theoretical Physics from Université Paris-Sud 11 & Universidad Autónoma Madrid.…
Helio has been a Data Scientist at Trivago for 2 years, where he worked with hotel reservation data. Before that Helio worked as a Computational Biologist, focussing on genetic characterisation of cancer types and measurement of gene expression.
Lauren studied my undergraduate in BSc Mathematics at UCLan, followed by my MSc in Data Science at the University of Sheffield. Lauren was then employed by Ladbible Group as a junior progressing to Data Scientist for 2 years, and now she works at Peak as…
Auto Trader
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Paul is a senior data analyst at Auto Trader, currently using R to analyse how advertising packages perform for different types of car retailers. This can range from quick and agile analysis to bigger, data science-led projects, with plenty of Shiny and Markdown thrown into…
Victoria is a senior data analyst at Auto Trader, currently using R to analyse the online buying experience. This ranges from consumer behaviour and searching patterns, to car advert performance and how it varies dependent on product and retailer type.
Priori Data
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Michelle Tran, Head of Data Science at Priori Data Bio: Michelle leads the data science team at Priori Data, a SaaS platform provider of mobile app market data across keywords, apps, markets, usage and audience. As part of the founding team, Michelle helped build Priori's…
Hendrik Brackmann, Head of Data Science at Finiata Bio: Hendrik has been heading the data science team at Finiata since January and has been building the team and architecture for Finiata's risk engine. Before that he lived in London, where he was heading the data…
Janis Kesteris, Principal Engineer at Priori Data Bio: Janis was Priori Data’s first tech hire and has served both as CTO and Senior Solutions Architect. Drawing on the latest technologies, he laid the foundations for the Priori Data platform, from data sourcing to serving estimates…
Talk Abstract: How to spot biases in your datasets. Jessica will be sharing her experience working for one of the biggest social games developers. The second part of her talk will be about a problem that she encountered recently in her work: selection bias. It’s a problem…
Talk Abstract: Deep Learning in NLP has been dominated in the past years by recurrent and convolutional models. But other models emerge to improve translation quality and performance. Alex has developed a translator for his team and clients using a new neural network architecture called…
Intelligent Layer
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Talk Abstract: Using artificial intelligence to make everyday products better, one beer at a time. How can artificial intelligence be used to create a future without advertising and in which everyday products continually adapt? Join IntelligentX co-founder Dr. Rob McInerney as he shares how his company created…
Talk Abstract: SAS and the new generation Data Scientist. With so many different environments, and many different roles doing different things with different data sources in various different data formats the role of the data scientist just keeps on changing and growing. Bio: Jozef Moffat is…
coAdjoint
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Talk Abstract: Building an Automated Analytics System. The talk will be a deep dive on some of the technology Tom’s used to build a system that runs funnel and spend analysis without any prior knowledge of the data. There's some novel data science being done using techniques…
Talk Abstract: Solving parking problems with Deep Learning. Parkopedia allows drivers to find the closest parking to their destination, its cost and whether the space is available. The talk will show two examples on how Deep Learning Networks can be applied to extend parking coverage and…
Talk Abstract: How data helps keep King's players happily crushing candy, 5 years since launch. The Candy Crush franchise grew revenues over 2017, while Candy Crush Saga passed its 5th birthday. What keeps players coming back to enjoy King’s games for many years? I’ll share few of the…
Talk Title: The joy and pain of building multilingual recommendation system at the BBC News. Bio: Jeremy is an engineering manager with a background in data and systems architecture. Before the BBC he worked for a start-up called Simulacra that built graph-based metadata systems for public sector…
Talk Abstract: Deep Learning gets Bigger: Larger Models, Better Distribution, and an end-to-end workflow for data science. What's changing in machine learning and deep learning? The increasing need for larger models and memory to handle high definition video, large data sets, and complex models. Open sourced…
Talk Abstract: Big Data Activation. This session will discuss the gap that enterprises face today when activating their big data. It will uncover cover key trends and observations from Qubole's big data activation platform. This insight will present various ways that enterprises can measure their own…
Talk Abstract: Marketing freemium Apps with the help of machine-learning. Zhaozhi will talk about two data science problems in the context of marketing: Churn Prediction and Customer Lifetime Value Prediction. Through these two examples, he will highlight the special considerations for marketing freemium products and some…
Funding Circle
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Talk Abstract: Reinventing a traditional business through smart use of data science. Lending to small businesses has historically been a task banks have struggled with due to its complexity. Harnessing the latest data sources, technologies and analytical techniques, Funding Circle is succeeding at making the process…
Money Super Market
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Talk Abstract: DataOps: Delivering Agile Data Science. The majority of organisation fail to create business value from their investments in data. Most implementations are either high cost IT projects, local applications that are not built to scale for production workflows or laptop data insight projects that…
Talk Abstract: How do data scientists accelerate their analytics journey from statistics to machine learning to AI. SAS is the market leading machine learning and data science platform provider. In this session, we will highlight how the analytics landscape has evolved over the last 20 years…
Talk Abstract: Hi! My name is Emil and I am a Teacher Bot. I was built to answer your early questions on how to use KNIME. Pardon! I was built to point you to the right training material to help you answer your early questions on…
Talk Abstract: How do you deal with small sample sizes at scale? In this talk we will learn how Deliveroo use experiments with small sample sizes to efficiently deliver meals at scale! Bio: Jonathan Magnusson is the Analytics Manager for the Delivery & Restaurant business groups at…
Talk Abstract:  How do you deal with small sample sizes at scale? In this talk we will learn how Deliveroo use experiments with small sample sizes to efficiently deliver meals at scale! Bio:  Jamie Edgecombe is a Senior Data Scientist at Deliveroo.
Talk Abstract: Artificial intelligence and machine learning are buzzwords that have entered the vernacular at many enterprises. And while some have been preoccupied with how AI will transform the way we work, few have managed to realize the full benefits of these technologies. For many,…
Facebook
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Talk Abstract: Understanding how features are changing users’ behaviour without AB tests. At times, due to product constraints or necessity of features, it just isn’t possible to run split tests but we still need to understand how the products we build change user behaviour. By…
Workshop Abstract: Humans are visual creatures. Visualising data makes it easier for us to explore it, find insights, and helps people understand those insights to make decisions. In this hands-on workshop learn how to to visually analyse your data to find insights, then quickly turn…
Talk Abstract: AI in action. Organisations across a spectrum of industries are utilising the latest capability that technology provides in the area of Artificial Intelligence. Let’s look to separate the hype from reality and talk about real life use cases where AI is now delivering value when in…
Talk Abstract: Word embeddings: Beyond word2vec. Word embeddings is a very convenient and efficient way to extract semantic information from large collections of textual or textual-like data. We discuss a comparison of the performance of  embeddings techniques like word2vec and GloVe as well as fastText and StarSpace…
Aiden.ai
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Talk Abstract:  Building a Fast Fuzzy Searcher and Spell Checker. Spelling is hard, really hard. It's a an everyday user frustration to try to search for a friend's name or the name of a restaurant that they heard but end up writing it wrong. In this…
Data Science Coach
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Talk Abstract: We use machine learning algorithms to determine patterns in past data and then predict behaviour in future observations. However, the data available in business is generally not ready for use in machine learning modelling. On the contrary, we typically devote an extensive amount…
Talk Abstract: Building products with data. Facebook has a very scientific approach to building products, with data being a key component in all the different stages of product development. In this talk, Michele will explore some of the unique challenges that Data Engineers and Data Scientists…
Talk Abstract: There’s a trade-off between complexity and interpretability of Machine Learning algorithms. This may pose challenges in building trust in those models, but also affect our society as a whole. Kasia will talk about current ways of evaluating those opaque (‘black-box’) models and their…
Talk Abstract: Neural network embeddings are often used in Natural Language Processing (NLP) to model words and sentences. The unsupervised “2vec” algorithms (e.g. word2vec) learn embeddings extremely quickly, scale well and can create beautiful visualisations. dunnhumby have recently extended these algorithms to work with grocery…
Workshop Abstract: Distributed processing of graph data with Neo4j and Apache Spark.In this hands-on session first the main concepts behind graph models and querying of graph data will be introduced by means of both Neo4j's graph querying language Cypher and Apache Spark's API for graphs…
Full Fact
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Talk Abstract: Automated Factcheckin. Factchecking is one solution to the multifaceted problems behind the catchall term 'fake news'. Join Full Fact, the UK's independent factchecking charity, to discuss how they plan to make factchecking dramatically more effective with technology that exists now, both here in the…
Cambridge Spark
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Workshop Abstract: This workshop will provide a hands-on introduction to the Big Data ecosystem, Hadoop and Apache Spark in practice. Through practical activities in Python, you will learn how to apply Apache Spark on a range of datasets to process and analyse data at scale.…
Mango Solutions
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Workshop abstract: One of the key skills for a data scientist is communication of information and in R that generally means shiny. Shiny is an R package that allows users to quickly build web interfaces to analysis without having to leave R. In this workshop…
Global Sports Statistics
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Workshop Abstract: Python is awesome, I may be biased but it can do loads of things and Data Science is one of them. With Data Science being such a wide subject we will concentrate on dealing with and manipulating data in Python. We begin by doing…
Bitcat Software
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Workshop Abstract: We’ve long assumed that in order to move money from one account to another reliably that we need to employ transactions to wrap the debit from one account and the credit to another.  The blockchain has challenged this thinking, recording all transactions on a…
Jumping Rivers Ltd
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Workshop Abstract: The tidyverse is essential for any statistician or data scientist who deals with data on a day-to-day basis. By focusing on small key tasks, the tidyverse suite of packages removes the pain of data manipulation. In this tutorial, we'll cover some of the…
Talk Abstract: David is the founder of Data Idols and the Data Science Festival.  He has spent years as a contract database administrator, delivering projects for some of the UK's leading companies.  During his time as a contractor, much of his work was sourced through…
Cloudera
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Talk Abstract: What "50 Years of Data Science" leaves out We’re told data science is the key to unlocking the value in big data, but nobody seems to agree just what it is. Is it engineering, statistics. . .both? David Donoho’s “50 Years of Data…
Talk Abstract: "How to Improve your Recommender System with Deep Learning: A Use Case" Deep learning is without a doubt among the hottest topics in data science today. Computers are now more powerful than ever, and as a result, deep learning has been applied successfully by academics…
Talk title: The joy and pain of building multilingual recommendation system at the BBC News. Bio: Magda left academia as a systems engineer and computer scientist. She spent her first years of a career in Dublin building data infrastructure in a Telco company. Then moved to…
Department for Transport
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Talk abstract: The Data Science journey in DfT, including initiatives, projects and our vision for the future. Bio: Tom Ewing is Principal Data Scientist for DfT. He has 20 years’ experience in government in a variety of data, analytical and digital roles and currently relishing the…
Talk Abstract: H2O’s Driverless AI – An AI that creates AI! Through my kaggle journey to the top spot, I have noticed that many of the things I do to perform competitively in data challenges can be automated. In fact automation is critical to achieve very…
Talk Abstract: Lessons learned from teaching Data Science. The current shortage of talent in Data Science has led to the creation of a plethora of courses and workshops, both online and in-person — but are we reaching the right audience, and giving them the right skills to…
Talk Abstract: Real-time data for real-time insurance: a flying robot case study with Flock. Flock is a London based ‘insurtech' startup bringing drone insurance into the 21st century. Flock aggregates and analyses geospatial data in real time to identify, assess, and quantify the risk of a…
Status Today
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Talk Abstract: Can Artificial Intelligence be used to understand the intricacies of human behaviour? Ankur Modi shows how basic data and AI have the potential to bring the next revolution in employee engagement. The talk focuses on case studies where StatusToday’s technology was deployed with…