Data Scientist

Travelex Limited; City of London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading financial services company in London is seeking a Data Scientist to join their team. The role involves leveraging advanced analytics and statistical expertise to drive data-informed decision-making and support business strategies. Ideal candidates will have strong statistical backgrounds and experience in machine learning, along with excellent collaboration skills. The company offers a hybrid working environment with flexibility.

Qualifications

• Strong statistical background with experience in statistical and machine learning models.
• Ability to collaborate with cross-functional teams to meet business needs.
• Experience in mining and processing complex datasets.

Responsibilities

• Collaborate with teams to understand data needs and business goals.
• Research and implement statistical and machine learning models.
• Translate analytical findings into actionable insights.

Skills

Statistical expertise

Analytical curiosity

Creative problem-solving

Machine learning models

Data mining

Job description

Data Scientist page is loaded## Data Scientistlocations: GBR-London-Kingswaytime type: Full timeposted on: Posted Todayjob requisition id: JR48728**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.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.**