Loveholidays
Data Scientist
London, Remote. Posted a month ago
The role
You will sit in the Data Science team to develop predictive models for pricing, recommendations, and other business domains. You will work with Product and Engineering teams to build statistical models that improve commercial decisions.
What you will do
- Build and improve data science products across pricing, recommendations and other business domains.
- Turn ambiguous business problems into practical data science solutions.
- Partner with engineers, analysts and product teams to deploy reliable models.
- Monitor model performance and investigate changes.
- Communicate findings clearly and help teams make evidence-based decisions.
Required qualifications
- Strong experience developing and delivering practical machine learning solutions.
- Proficiency in Python and SQL.
- Experience working with large, complex datasets.
- A solid grounding in statistics, experimentation and machine learning.
- Experience with model evaluation and causal thinking.
- Experience collaborating with engineers to deploy, monitor and improve models in production.
- Strong communication skills.
Benefits
- Company pension contributions at 5%
- Individualised training budget
- Discounted holidays for you, your family and friends
- 25 days of holidays per annum plus 8 public holidays
- Holiday increase of 1 day for every second year of service up to 30 days
- Ability to buy and sell annual leave
- Access to our electric vehicle salary sacrifice scheme
- Cycle to work scheme
- Season ticket loan
- Eye care vouchers
Before you apply
- Intro with a member of our Talent Acquisition team - 30 minutes
- 1st Stage: Virtual Interview with Hiring Manager - 45 minutes
- 2nd Stage: Two on-site interviews including a project discussion deepdive and a technical discussion around a case study
- Final-stage: Virtual interview with key stakeholders - 45 minutes
About the company
loveholidays is on a mission to open the world to everyone, giving customers unlimited choice, unmatched ease and unmissable value for their next getaway.