ABOUT US

At Travel Counsellors, our customers, communities, and colleagues are at the heart of everything we do. For over 30 years, we’ve empowered 2,200+ independent travel agents worldwide, helping them build successful businesses while providing deeply personal, human connections with their customers. Supported by a talented team of over 400 people in our Support Offices, we create unique travel experiences that keep customers coming back. Named the Best Place to Work in Travel (2022) and ranked in the Sunday Times Best Places to Work (2023, 2024 & 2025), we’re expanding rapidly and looking for exceptional individuals to join our Head Office team.

REQUIRED EXPERIENCE

• Expertise in developing and deploying various ML algorithms, e.g. recommendations
• Experience in applying statistical methods to analyse data, test hypotheses, and draw meaningful conclusions
• Highly proficient in Python for data manipulation, analysis and model development
• Strong SQL skills for querying and manipulating data from relational databases.
• Understanding of database concepts and experience with data warehousing solutions.
• Working knowledge of Generative AI / LLMs
• Experienced in the use of BI tools such as Power BI / Tableau desirable
• Strong analytical and problem-solving skills
• Excellent communication and presentation skills

ABOUT THE ROLE

The Data Scientist will play a crucial role in developing data-driven solutions to optimise various aspects of Travel Counsellors including pricing strategies, customer behaviour and operational efficiency.They will collaborate closely with cross-functional teams including commercial, product and engineering, to build automated ML / AI solutions that will provide tangible benefits for Travel Counsellors.

PRINCIPAL ACCOUNTABILITIES

• Build and deploy predictive models for optimising pricing, personalised recommendations and operational efficiencies
• Collaborate with data and software engineers to operationalise ML models within our wider technology platform and deliver on our AI ambitions
• Conduct in-depth analysis of large datasets to identify trends, patterns, and anomalies related to customer behaviour, booking patterns, and market trends.
• Develop and present clear, actionable insights and recommendations to stakeholders through excellent verbal and written communication
• Design and analyse A/B tests to evaluate the impact of new features, marketing campaigns and pricing strategies.
• Stay updated on industry trends and best practices in data science, advocating for continuous improvement within the team.
• Lead data-related projects, ensuring timely delivery while balancing multiple priorities and stakeholder needs.