Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
loveholidays

Data Scientist

loveholidays

. Develop predictive models for pricing, recommendations and other business domains .

Posted 9/23/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and delivering machine learning solutions, with proficiency in Python and SQL for data analysis. Capable of translating complex business problems into actionable data science strategies while effectively collaborating with cross-functional teams.

Highest-signal resume keywords
Machine Learning Solutions DevelopmentPython ProficiencySQL ProficiencyModel Evaluation and Causal ThinkingCollaboration with Engineering Teams

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Machine LearningData ScienceStatistical AnalysisModel EvaluationCausal ThinkingData AnalysisPredictive ModelingExperimentationData VisualizationLarge Dataset Management
Soft Skills
Strong Communication SkillsInfluencing Product DecisionsProblem-SolvingCollaborationChallenging Assumptions
Industry Keywords
Predictive ModelsData Science ProductsCustomer ExperienceModel Performance MonitoringBusiness Decision-Making

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Develop predictive models for pricing, recommendations and other business domains
  • Build and improve data science products to enhance customer experiences and commercial outcomes
  • Translate ambiguous business problems into practical data science solutions, from exploration and modelling through 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 support evidence-based decisions
  • Report to the Head of Data Science
  • Collaborate with Product and Engineering teams within the Platform function

Requirements

What you’ll need
  • Strong experience developing and delivering practical machine learning solutions
  • Proficiency in Python and SQL
  • Experience working with large, complex datasets
  • Solid grounding in statistics, experimentation and machine learning, including model evaluation and causal thinking
  • Experience collaborating with engineers to deploy, monitor and improve models in production
  • Strong communication skills and ability to explain technical concepts and influence product and commercial decisions
  • Ability to work from the London office three days a week, specifically Tuesday, Wednesday and Thursday

Benefits

Comp & perks
  • Company pension contributions at 5%
  • Individualised training budget for you to learn on the job and level yourself up
  • Discounted holidays for you, your family and friends
  • 25 days of holidays per annum plus 8 public holidays, increasing by 1 day every second year of service up to a maximum of 30 days per annum
  • Ability to buy and sell annual leave
  • Electric vehicle salary sacrifice scheme
  • Cycle to work scheme
  • Season ticket loan
  • Eye care vouchers
  • Accessible hiring process and interview adjustments where needed