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For Companies At a Glance
- Tasks: Transform complex data into actionable insights and drive innovation.
- Company: Join Travelex, a leader in foreign exchange with a focus on digital innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of AI and data science, shaping business strategies.
- Qualifications: 3+ years in data science, strong skills in Python, SQL, and machine learning.
- Other info: Diverse team culture with a commitment to ethical AI practices.
The predicted salary is between 60000 - 80000 £ per year.
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 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.
Data Scientist — Hybrid London, AI for Business Impact employer: Travelex
Contact Detail:
Travelex Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist — Hybrid London, AI for Business Impact
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving predictive models and data visualisation. This will give potential employers a taste of what you can do and how you can add value.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as communication is key in translating insights into business impact.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist — Hybrid London, AI for Business Impact
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role at Travelex. Highlight your experience with data mining, statistical modelling, and machine learning techniques. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our mission at Travelex. Be sure to mention any relevant projects or experiences that showcase your analytical curiosity.
Showcase Your Technical Skills: Don’t forget to highlight your proficiency in Python, SQL, and any data visualisation tools you’ve used. We love seeing practical examples of how you've applied these skills in real-world scenarios, so include those in your application!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Travelex!
How to prepare for a job interview at Travelex
✨Know Your Data Science Stuff
Make sure you brush up on your statistical modelling and machine learning techniques. Be ready to discuss specific projects where you've applied these skills, especially in Python and SQL. The more you can demonstrate your expertise, the better!
✨Show Off Your Problem-Solving Skills
Prepare examples of how you've tackled complex business problems using data. Think about times when your insights led to measurable business value. This will show that you can translate analytical findings into actionable strategies.
✨Get Familiar with Their Tools
Research the tools and platforms mentioned in the job description, like AWS or Azure. If you have experience with MLOps frameworks or CI/CD pipelines, be sure to highlight that. It shows you're not just a data whiz but also tech-savvy!
✨Communicate Clearly
Practice explaining your technical work in simple terms. Travelex values the ability to communicate insights effectively, so think about how you can present your findings to non-technical stakeholders. Clear communication can set you apart!