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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Data Science - **Location:** UK - **Contract:** Permanent contract - **Skills:** Big Data, Python (Programming Language), Machine Learning, SQL Databases, Model Validation - **Published:** September 24, 2026 - **Apply:** https://startup.jobs/data-scientist-loveholidays-10169365 ## About the Role * 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. ## Description 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., * 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 * Final-stage: Virtual interview with key stakeholders - 45 minutes Perks of joining us: * 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 * Access to our electric vehicle salary sacrifice scheme * Cycle to work scheme, season ticket loan and eye care vouchers Our commitment to inclusion At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)