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- Tasks: Analyse text data and build AI-driven solutions for real-world problems.
- Company: Join Fable Data, a leader in consumer transaction insights.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with access to extensive consumer datasets.
- Why this job: Make an impact with your data skills at a global scale.
- Qualifications: 2-3 years of experience in data science, SQL, and Python.
The predicted salary is between 50000 - 60000 £ per year.
Full-Time (Hybrid: minimum two days per week in our London office), PAYE Level: Mid, 2-3 years of relevant experience.
About Fable Data:
Fable Data is a global consumer transaction data company. We aggregate anonymised consumer data from financial services businesses, which we then enrich, productise and deliver high value data products to some of the world’s leading retailers, investment managers, technology companies, governments, and advertising firms. Our data provides a near real-time view of the consumer economy offering powerful insights into consumer behaviour, retailer performance and broader macroeconomic trends.
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.
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.
Passionate about solving real-world problems through a blend of applied data science, analytical thinking and research. Product driven thinking enables you to systematise your work into reusable and repeatable processes that can be integrated easily into our data platform. Thrive in a fast-paced, collaborative environment that values both analytical rigour and commercial impact.
Contribute to the full ML lifecycle including:
- Model training, evaluation, versioning, deployment, and iterative improvement for a suite of text-based classification models.
- Evaluate and validate new data sources for suitability, quality, and bias in ML training pipelines.
- 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.
Experience in SQL and Python in a professional context. Comfortable working with data cleaning, transformation, and basic scripting tasks. Strong attention to detail and a focus on data quality. Experience monitoring and enhancing in-life ML Models (MLOps). Familiarity with classification, time series, and/or natural language processing. Knowledge of or experience working with consumer data, banking data, or stocks and shares. Planning skills to help you prioritise work across multiple projects.
This is a unique opportunity to combine technical depth with commercial storytelling and have your work seen by some of the most influential organisations in the world.
Data Marketing Scientist employer: Fable Data
Contact Detail:
Fable Data Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Marketing Scientist
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects, especially those involving data science and machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Ace the Interview
Prepare for interviews by practising common data science questions and case studies. Be ready to discuss your thought process and how you approach problem-solving. Remember, they want to see how you think, not just what you know!
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Data Marketing Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Marketing Scientist role. Highlight your experience with SQL, Python, and any relevant machine learning projects. We want to see how your skills align with what we do at Fable Data!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data science and how you’ve tackled real-world problems. Let us know why you’re excited about working with consumer transaction data and how you can contribute to our team.
Showcase Your Projects: If you've worked on any cool projects involving text data or machine learning, don’t hold back! Include links to your GitHub or any relevant portfolios. We love seeing practical examples of your work and how you approach problem-solving.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and it helps us keep track of all applications. Plus, you’ll be one step closer to joining our awesome team at Fable Data!
How to prepare for a job interview at Fable Data
✨Know Your Data Inside Out
Make sure you’re familiar with the types of consumer data Fable Data works with. Brush up on your knowledge of transaction data, and be ready to discuss how you’ve used SQL and Python in previous roles. This will show that you understand the core of what they do.
✨Showcase Your Machine Learning Skills
Prepare to talk about your experience with the full ML lifecycle. Be specific about the models you've built, how you evaluated them, and any challenges you faced. Highlight your familiarity with classification, time series, and natural language processing to demonstrate your technical prowess.
✨Emphasise Collaboration and Communication
Fable Data values a collaborative environment, so be ready to share examples of how you’ve worked with stakeholders in the past. Discuss how you’ve translated complex data insights into actionable strategies, showcasing your ability to blend technical skills with commercial storytelling.
✨Prepare Questions That Matter
Think of insightful questions to ask during the interview. Inquire about their current projects, the tools they use for monitoring ML models, or how they ensure data quality. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.