Data Scientist

Collinson is the global, privately-owned company dedicated to helping the world to travel with ease and confidence. The group offers a unique blend of industry and sector specialists who together provide market-leading airport experiences, loyalty and customer engagement, and insurance solutions for over 400 million consumers.

Collinson is the operator of Priority Pass, the world’s original and leading airport experiences programme. Travellers can access a network of 1,500+ lounges and travel experiences, including dining, retail, sleep and spa, in over 650 airports in 148 countries, helping to elevate the journey into something special. We work with the world’s leading payment networks, over 1,400 banks, 90 airlines and 20 hotel groups worldwide.

We have been bringing innovation to the market since inception – from launching the first independent global VIP lounge access Programme, Priority Pass to being the first to sell direct travel insurance in the UK through Columbus Direct and creating the first loyalty agency of its kind in the travel sector with ICLP. Today we still invest heavily in innovation to ensure that we continue to deliver superior customer experiences.

Key clients include Mastercard, American Express, Cathay Pacific, British Airways, LATAM, Flying Blue, Accor, EasyJet, HSBC, Chase, HDFC.

Our mission is focused on doing good beyond profit, which for us means we seek out opportunities for our people to share in our success and that we give back to the communities and people within which we work.

Never short of ambition, the success of our business is delivered through the diverse and talented team of over 2,200 global colleagues.

Are you a Data Scientist ready to make an impact across a global business? Do you thrive on solving complex problems, creating innovative data products, and working at the intersection of people, data, and technology? If so, we want to meet you.

At Collinson, we’re on a mission to harness the power of data to deliver smarter, faster, and more customer-focused solutions across our diverse portfolio — from loyalty and customer engagement to travel experiences and financial services. We’re growing our Data Science team and are looking for a hands-on, forward-thinking Data Scientist to join us on this journey.

What you will do:

As a key member of our Data & AI/ML Platform team, you’ll play a central role in designing, building, and deploying data solutions across Collinson’s global operations and external client engagements. This is a high-impact, full-lifecycle role, from ideation and prototyping to production deployment and monitoring.

Your day-to-day will include:

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• Building and deploying machine learning models (supervised & unsupervised)
  
  
  
  
  
  
• Designing and maintaining scalable data science pipelines
  
  
  
  
  
  
• Rapid prototyping of ideas and transforming PoCs into enterprise-ready tools
  
  
  
  
  
  
• Exploring structured and unstructured data (customer, transactional, pricing, text, etc.)
  
  
  
  
  
  
• Managing cloud infrastructure (primarily AWS) and working with modern ML tools
  
  
  
  
  
  
• Delivering clear, insightful reports and presentations to internal and external stakeholders
  
  
  
  
  
  
• Mentoring junior data scientists and supporting team growth and excellence
  

You’ll work closely with stakeholders across marketing, product, finance, and more — so strong communication skills and a business-savvy mindset are key.

What we are looking for:

We're looking for someone with a strong technical foundation, an innovative mindset, and a collaborative spirit.

Technical skills (essential):

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• Expertise in Python (NumPy, pandas, scikit-learn) and SQL
  
  
  
  
  
  
• Experience with EDA, data wrangling, and visualization tools (e.g., Matplotlib, Plotly, BI tools)
  
  
  
  
  
  
• Ability to build, evaluate, and deploy ML models (REST APIs, batch jobs, FastAPI, etc.)
  
  
  
  
  
  
• Experience operating in cloud environments (AWS preferred) using Docker and Git workflows
  
  
  
  
  
  
• Strong foundation in statistics, machine learning, and experimental design
  
  
  
  
  
  
• Proven ability to communicate technical solutions clearly to non-technical stakeholders
  

Technical skills (a big plus):

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• Knowledge of deep learning frameworks (PyTorch, TensorFlow), transformers, or LLMs
  
  
  
  
  
  
• Familiarity with MLOps tools (MLflow, SageMaker, Airflow, etc.)
  
  
  
  
  
  
• Experience with streaming data (Kafka, Kinesis) and distributed computing (Spark, Dask)
  
  
  
  
  
  
• Skills in data visualization apps (Streamlit, Dash) and dashboarding (Tableau, Looker)
  
  
  
  
  
  
• Domain experience in forecasting, optimisation, or geospatial analytics
  

We would like to talk to you if you are:

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• A curious problem-solver who loves to dig deep and deliver real impact
  
  
  
  
  
  
• A self-starter who thrives in fast-paced, collaborative environments
  
  
  
  
  
  
• A clear communicator who can translate business needs into data-driven solutions
  
  
  
  
  
  
• A team player who is excited about mentoring, sharing knowledge, and continuous learning
  
  
  
  
  
  
• Passionate about staying up to date with the latest trends in AI/ML, data science, and cloud technology
  

Collinson is an equal opportunity employer and welcomes differences in all their forms including: colour, race, ethnicity, gender identity, sexual orientation, neurodivergence, family status, age, individuals with disabilities and people from all backgrounds, cultures and experiences as we strongly believe this contributes to our on-going success.

We are focused on continually evolving our purpose driven, high performing culture, providing an environment where our people have the opportunity to achieve their full potential and do interesting and meaningful work. Our company values are: Take Action, Do the right thing, One team and Be insight led. These help guide everything we do internally in terms of how we think, act and interact, right through to how we deliver value to our customers and clients.

In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc).

If you need any extra support throughout the interview process, then please email us at