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Travelex

Data Scientist

Posted 2 Days Ago
Be an Early Applicant
In-Office
Kingsway, Bath, Avon, England, GBR
Mid level
In-Office
Kingsway, Bath, Avon, England, GBR
Mid level
The Data Scientist will collaborate with teams to analyze data, develop predictive models, and translate insights into actionable business solutions.
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Job Title: Data Scientist

Job Type: Full Time, Permanent

Working location: London, Hybrid (3 office days a week)

Role Purpose
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.
•Design, validate, and optimise algorithms and statistical models for predictive and prescriptive analysis.

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.

Why Travelex?

To remain the world’s leading foreign exchange specialist, we are focused on making our customers’ lives simpler, more engaging and hassle free while they travel or move money abroad. We promise to give them the freedom and peace of mind to explore the world, their way – enabling them to travel confidently because they know they have us to lean on.

Customer centricity and digital are at the heart of our business strategy. Our commitment to innovation has never been greater, with the development of a number of digital-first, greenfield products and services. And with the Travelex's resources, deep industry experience and leading brand we are inventing the future of FX, cross-border e-commerce and international payments.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Top Skills

AWS
Azure
Databricks
Python
SQL

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