Strategic Data Scientist — Pricing & Recommendations

Loveholidays; Greater London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Company pension 5%

Training budget

Discounted holidays

25 days holiday

Leave buy/sell

EV salary sacrifice

Cycle to work

Season ticket loan

Eye care vouchers

Job summary

Loveholidays is seeking a data scientist to join the Data Science team, reporting to the Head of Data Science. You will work closely with Product and Engineering to develop predictive models for pricing, recommendations and other business domains, leveraging data to inform commercial decisions.

The team sits within Platform and aims to build scalable products and tools that help the wider organisation move faster and deliver better customer outcomes.

Qualifications

• Strong experience delivering practical ML solutions balancing model performance and business value.
• Proficiency in Python and SQL, with experience working with large, complex datasets.
• Solid grounding in statistics, experimentation and machine learning, including model evaluation.

Responsibilities

• Build and improve data science products across pricing, recommendations and other business domains to improve customer experiences and commercial outcomes.
• Turn ambiguous business problems into practical data science solutions, from exploration and modelling through to experimentation and evaluation.
• Partner with engineers, analysts and product teams to deploy reliable models and embed recommendations into everyday decision-making.
• Monitor model performance, investigate changes and continuously improve solutions as customer behaviour and business needs evolve.
• Communicate findings clearly, challenge assumptions and help teams make confident, evidence-based decisions.

Skills

Python

SQL

Statistics

Model deployment

Tools

Large datasets

Job description

Loveholidays is seeking a data scientist to join the Data Science team, reporting to the Head of Data Science. You will work closely with Product and Engineering to develop predictive models for pricing, recommendations and other business domains, leveraging data to inform commercial decisions.

The team sits within Platform and aims to build scalable products and tools that help the wider organisation move faster and deliver better customer outcomes.