Hybrid Data Scientist: ML for Customer Growth

The Travel Corporation; England; Hybrid; GBP 65,000 - 90,000; Full time

Job summary

The Travel Corporation is seeking an applied data scientist to join a growing analytics capability. You will use advanced analytics and machine learning to understand customers and solve business problems using customer, booking, digital, marketing and behavioural data.

You will work on segmentation, propensity, personalisation, retention, forecasting and customer lifetime value, with scope to explore and grow.

Qualifications

• Strong experience in data science or advanced analytics.
• Proficient Python and SQL.
• Strong grounding in statistics and machine learning.
• Experience with customer, transactional, behavioural or digital data.
• Experience with Snowflake and cloud data environments.

Responsibilities

• Turn customer and commercial challenges into structured analytical problems and testable hypotheses.
• Explore complex behavioural and transactional data to find what others have missed.
• Develop and evaluate statistical and machine learning models.
• Build segmentation, propensity, forecasting and personalisation solutions that reach real customers.
• Apply rigour to feature engineering, validation and model performance.
• Design and evaluate experiments to understand genuine impact.
• Work with Data Engineering to create reliable model inputs and productionise valuable solutions.
• Monitor solutions in the wild and keep improving them.
• Communicate findings clearly to both technical and business audiences.
• Contribute to data science standards, reproducibility and responsible AI practice.

Skills

Data science

Advanced analytics

Python

SQL

Statistics

Machine learning

Experimentation

Business communication

Segmentation

Forecasting

Tools

Snowflake

Job description

The Travel Corporation is seeking an applied data scientist to join a growing analytics capability. You will use advanced analytics and machine learning to understand customers and solve business problems using customer, booking, digital, marketing and behavioural data.

You will work on segmentation, propensity, personalisation, retention, forecasting and customer lifetime value, with scope to explore and grow.