Data careers

Data engineers

are responsible for bringing our clients scalable and robust solutions related to the processes of creating pipelines, platforms, organization, governance and data quality. They have experience in cloud, on-premises technologies and migrations.

Data architects

are responsible for designing reference architectures, covering key aspects of data management, governance, domains, modeling, integration, security, compliance and more. They are responsible for the discovery, roadmap, feasibility study and recommendation of frameworks, practices and tools in the data world to better meet business objectives.

Data scientists

are responsible for identifying business opportunities and how to respond to them through the applied use of data and thus maximizing client results. They play a strategic role both from a technical and business point of view, proposing the use of advanced machine learning techniques along with algorithms and success metrics that will serve in the future to evaluate the results of production models.

ML engineers

are responsible for providing the technical components capable of enabling CD4ML principles such as experiment versioning tools, data repositories, automation mats and integration layers with production environments. They work closely with data scientists, evaluating aspects of scalability and performance for proposed data models.

Data analysts

are responsible for conducting complex analysis, proposing business indicators and generating analytic solutions to support clients in generating business value. They have experience in transforming data into insights through understanding the business and creating automated dashboards for demonstrating results and making decisions.

Lead machine learning engineer, UK

Meissane is a Lead Machine Learning (ML) Engineer for Thoughtworks UK.  She started her career as a platform developer and then transitioned to her current role where she applies agile software delivery practices to AI and ML. Her primary expertise is in delivering effective AI (data science, MLOps, CD4ML) from proof of concept to production. Meissane's academic background is also in ML and statistics with a focus on unsupervised learning and generative models. She is currently interested in practical governance practices within ML teams. You can meet her in our Londo office.

Principal data consultant, UK

A technologist passionate about data, Ryan works with clients on large-scale data and AI initiatives. Ryan helps organizations get more value from data. His work includes strategies to productionize machine learning, organizing the way data is captured and shared, selecting the right data technologies and optimal team structures.

He has over 15 years of experience and is author of the Thoughtworks Guide to Evaluating MLOps Platforms, as well as many widely read articles about MLOps, software design and delivery.

Head of Data & AI Services, UK

As the Data service line lead for Thoughtworks UK and Europe, Danilo is responsible for building high-performing teams and unique propositions that help our clients win with Data & AI. That covers the full spectrum of our services, from data strategy and governance to building the Data & AI products and platforms that bring the strategy to life. Danilo is also responsible for driving Thoughtworks' unique approaches, such as Data Mesh and Continuous Delivery for Machine Learning (CD4ML).