loveholidays
Data Scientist
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · London
Employer listed it 16h ago · Added today
First listed today.
Salary
Not stated
Location
Hybrid · London
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Data
This employer didn't state pay. Jobs like this usually pay around $110k–$200k a year, a typical range taken from 226 mid-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around London, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "London, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
Why loveholidays?
We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway.
Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams.
The difference you’ll make
You’ll sit in the Data Science team, reporting to the Head of Data Science. You’ll work closely with Product and Engineering teams to develop predictive models for pricing, recommendations, and other business domains. Together, the team will leverage data to build statistical models that improve commercial decisions.
Data Science sits within our Platform function, which builds the technology and shared capabilities that power the loveholidays experience. By creating scalable products, systems and tools, Platform helps the wider organisation move faster, work more independently and deliver better outcomes for customers.
Your day-to-day:
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.
Your skillset:
Strong experience developing and delivering practical machine learning solutions, balancing model performance, business value and long-term maintainability.
Proficiency in Python and SQL, with experience working with large, complex datasets.
A 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, with the ability to explain technical concepts and influence product and commercial decisions.
The interview journey:
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
50 minutes for a project discussion deepdive with member(s) of the Data Science team
1 hour technical discussion around a case study with member(s) of the Data Science team
Requirements
- ·Strong experience developing and delivering practical machine learning solutions, balancing model performance, business value and long-term maintainability.
- ·Proficiency in Python and SQL, with experience working with large, complex datasets.
- ·A 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, with the ability to explain technical concepts and influence product and commercial decisions.
Benefits
- ·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) increases by 1 day for every second year of service, up to a maximum 30 days per annum
- ·Ability to buy and sell annual leave
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at loveholidays, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 16h ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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