Data Scientist
Role details
Job location
Tech stack
Job description
At Travelex, data is at the heart of every decision we make. We rely on advanced analytics and deep insights to power our products, optimise our processes, and uncover new opportunities. We are seeking an experienced Data Scientist with strong statistical expertise, analytical curiosity, and creative problem-solving skills to join our growing team.
In this role, you will work closely with cross-functional teams to extract meaning from complex data, design predictive models, and translate insights into measurable business value. You'll be instrumental in shaping how data informs strategy and drives innovation across the organisation.
Objectives
*Collaborate with product and technology teams to understand data needs, business goals, and opportunities for innovation.
*Research, prototype, and implement advanced statistical and machine learning models to solve complex business problems.
*Translate analytical findings into clear, actionable insights that drive strategic decisions.
*Embed data science and AI solutions into key business processes to enable intelligent automation.
*Stay current with the latest developments in data science, AI frameworks, and responsible AI practices, and champion their adoption across teams.
Responsibilities
*Act as a data strategist to identify, integrate, and leverage new data sources through product capabilities.
*Collaborate with engineering teams to build, test, and deploy scalable data products and predictive models.
*Execute analytical experiments to address challenges across multiple business domains.
*Mine and process large structured and unstructured datasets to extract meaningful features and patterns.
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Requirements
*3+ years of experience in data science or a related field.
*Proven expertise in data mining, statistical modelling, and machine learning techniques.
*Advanced experience in pattern recognition, predictive modelling, and feature engineering.
*Proficiency in Python and SQL, and a solid grasp of software engineering best practices.
*Strong understanding of data structures, model evaluation, and experiment design.
*Experience with data visualisation tools and communicating insights effectively.
*Familiarity with MLOps frameworks, CI/CD pipelines, and model deployment.
*Good knowledge of cloud-based data platforms (e.g. AWS, Databricks, Azure)
*Knowledge of data governance and ethical AI principles.
*Excellent communication skills, with the ability to translate technical results into business impact.
*The ability to explain, brainstorm, present, simplify, clarify, prioritise, document, listen, negotiate and compromise.
*Your own unique style or way of working, which will make our team diverse and original., Job Description Principal Data Scientist London - UK- WIDE TRAVEL EXPECTED If you're a hands-on Data Science / AI specialist who loves solving real operational problems, this role puts you right at the heart of client delivery. You'll shape the problems, design and build...