We are expert data analytic consultants who unlock the potential and value of data, empowering organisations to achieve their goals. We help you cut through the overwhelming amount of emerging data about data (!) to find the right way forward for you, helping you meet current and future goals while staying agile.
We know your people are key to the delivery of your goals. That’s why we use our background in organisation psychology and learning and development to ensure that people are at the heart of the data solutions we provide.
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Pros: I really enjoyed being a Data Annotator here, especially contributing to the Ecological AI Research Programme. It's rewarding to know your work directly helps environmental research. The team in Greater Nottingham was fantastic – very collaborative and always willing to help. I learned a ton about data quality, specific annotation tools, and the data pipeline in an AI company. Management was supportive and encouraged learning, which was great for my career growth. They offer good work
Cons: Sometimes the workload for data annotation could be inconsistent, with periods of intense work followed by quieter spells, which occasionally made planning a bit tricky. Communication regarding long-term career progression paths for annotators specifically wasn't always super clear, making it tough to see next steps without actively seeking them out. While the core work environment was good, sometimes project changes felt a bit sudden, requiring quick adaptation from the data teams. Overall,
Advice to Management: Continue to foster clear communication channels between the research and annotation teams, especially regarding project updates and the impact of our data. Providing more defined pathways for career growth for Data Annotators would also be beneficial, outlining potential internal advancements or skill development opportunities to move into more analytical roles within the AI research domain.
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What is the day-to-day working culture like at Data Understood for a data analyst?
At Data Understood, the culture fosters collaboration, particularly within project teams. You'll find a focus on data-driven problem-solving and continuous learning, which is typical for a tech company of this size.