Data & Artificial Intelligence

Leading organisations understand the value of data used to deliver exceptional customer experiences, enable new business, and optimise operations.

We help engineer your data future, through building the next generation of data-driven products, platforms and culture that allow you to unlock new sources of value. We combine custom machine learning solutions with human-centred thinking and our heritage of software engineering excellence to embed lasting differentiated capabilities in your organisation.

We help organisations realise their data future through delivery of great products and platforms, supported by new ways of working.

We see data-driven products and services as your key mechanism to realise value, whether delivered to your customers, team members or partners. We accelerate and scale product innovation through platform transformation driven by software engineering excellence. To help you explore new ideas and innovative opportunities, we facilitate strategy and capability development for sustainable data-driven culture.

Product innovation

Build great products, not just sophisticated models. Our data science team solves the most complex problems in Machine Learning and AI - while focusing on customer value and end-to-end execution. We help launch new products or evolve existing ones for more seamless experiences and improved data driven decision-making.

Platform transformation

We help you make step changes in your ability to harness data to improve business outcomes across your organisation. We deliver transformative technology with software and data engineering rigour. We align delivery to real business scenarios, so you are in control and you see results early.

Strategy & capability

We work with you to develop and execute a tailored strategy for success for your organisation. We begin with understanding your opportunities and strengths, and we introduce new thinking, tools, and ways of working. We help you build your own high-performing, multidisciplinary data team enabled by the right technologies.

Recommended reading

Coding patterns for data scientists

David Tan

Perspectives Issue #2

The end of data gluttony

Continuous delivery for machine learning

Danilo Sato, Arif Wider and Christoph Windheuser

Recommended viewing

Continuous Intelligence in Action

Dr. Gerald Hartig, Principal Data Scientist, Arkose Labs

Solving multimillion-dollar online fraud problems for major global businesses across multiple industries is what Arkose Labs, a leading online fraud and abuse prevention organisation specialises in. In this talk, Dr Hartig discusses the ways Arkose Labs approaches Continuous Intelligence to protect some of the world's largest web properties.

Connected Intelligence

Zhamak Dehghani, Principal Consultant, ThoughtWorks

Investment in data is at an all-time high but organisations have yet to see a significant return on those investments. So, what's holding them back? Zhamak will propose a paradigm shift in our thinking when it comes to data platforms and strategies, sharing the root causes of failures to date.

The Business of Delivering Location

Jo Abhayaratna, Chief Technical Officer, PSMA Australia

PSMA Australia, a government-owned, but independent and self-funded company is changing the business of location data. Hear from Jo, as he explores the foundations of data-as-a-service, and how to ensure the right insights are available in the right place, at the right time and in the right format to meet customers’ needs.

By ThoughtWorks Podcast Series

Want help to unlock your data potential?

Our practice leads

Sue Visic

Director, Data & AI Practice


David Colls

Director, Data & AI Practice


Mat Kelcey

Machine Learning Principal

Simon Aubury

Principal Data Engineer