Data Scientist, Fable Data

• We’re looking for a talented Data Scientist ready to take the next step in their career; someone who thrives on analysing text data and is adept at using AI alongside an expansive machine learning toolkit to build high precision solutions to identify real world entities within billions of lines of text data
• Passionate about solving real-world problems through a blend of applied data science, analytical thinking and research
• Curious with an eye for accuracy, you’re passionate about uncovering patterns in text that haven’t yet been discovered and can do so without compromising intellectual integrity and accuracy
• Product-driven thinking enables you to systematise your work into reusable and repeatable processes that can be integrated easily into our data platform
• You thrive in a fast-paced, collaborative environment that values both analytical rigour and commercial impact
• 2+ years’ experience working with large datasets in a commercial or academic environment
• Experience in SQL and Python in a professional context
• Fast learner and comfortable with uncertainty and change; we are a scale-up
• Comfortable working with data cleaning, transformation, and basic scripting tasks
• Strong attention to detail and a focus on data quality

Desirable

• Reporting line: Senior Data Scientist
• With access to one of the most comprehensive, market leading, multi-country consumer transaction datasets available, you will expand the merchant vocabulary (named entity recognition), build new models and enhance the accuracy of our existing models that power our world class products and the high impact insights produced by our client enablement and commercial teams
• Support the training, monitoring and improvement of a suite of data science models (primarily text-based classification models)
• Assist in the development of new product concepts
• Support the review and evaluation of potential new datasets
• Assist in developing and implementing efficient strategies for creating high-quality labelled training datasets, leveraging automation, weak supervision, and active learning techniques
• Design, implement, and maintain rule-based data processing logic leveraging regex and other pattern-matching approaches
• Assist in developing monitoring systems for in-life machine learning models that automatically detect and flag issues
• Work with stakeholders to define and implement new machine learning applications based on transaction data

• Application Process: When submitting your application, please answer each question to be considered for this role