Data Scientist

Job title:

Data Scientist

Company

loveholidays

Job description

Why loveholidays?At 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 team is the driving force behind our role as our customers’ personal holiday expert – the smart way to get away.About the teamOur Data Science team comprises eight members, including three Senior Data Scientists, four Data Scientists, and the Head of Data Science. We specialise in various areas such as Recommender Systems, Time Series Forecasting, Deep Learning, and Reinforcement Learning, fostering a collaborative learning environment.Our focus is on modelling and problem-solving, leveraging advanced machine learning techniques to create solutions to challenging business problems. We prioritise clean, well-tested code with a culture of documentation and knowledge sharing. Our tech stack includes GCP, Python, GitHub, PyTorch, TensorFlow, Scikit-learn, and XGBoost.With mature infrastructure and dedicated teams for Data Engineering, Analytics, and Platform Engineering, our Data Scientists enjoy high autonomy. We tackle interesting datasets, set up large-scale experiments, and implement growth strategies with NO red tape. Quarterly OKR planning ensures that priorities are clearly defined and teams are aligned on objectives.The impact you’ll have:Reporting to the Head of Data Science, the Data Scientist will play a pivotal role in propelling loveholidays forward. Positioned within a team of passionate data enthusiasts, you’ll be instrumental in shaping our data-driven strategies and outcomes.Your day-to-day:

• Developing and implementing models to address business challenges
• Contributing to the maintenance of existing systems
• Participating in code reviews and collaborating on projects
• Learning from senior team members while developing your expertise
• Engaging in project rotation for a fresh perspective and sustained engagement
• Contributing ideas for team OKRs and new initiatives
• Participating in morning stand-ups and weekly prioritisation meetings

Your skillsetWe’re looking for someone with a scientific approach to data, where the following qualities are important:

• Excellent problem-solving skills: Ability to tackle challenges through guided work and collaboration
• Curiosity: Eagerness to understand business problems and contribute to practical solutions
• Proactive attitude: Willingness to take initiative and continuously learn
• Teamwork: Ability to work well with others, accept feedback, and grow professionally
• Communication skills: Ability to explain technical concepts clearly to different audiences

Required Experience

• Contributing to data science projects from development to implementation
• Applying statistical methods and machine learning techniques to real-world problems
• Proficient in machine learning and statistical methods for predictive modelling and forecasting
• Proficiency in SQL for data extraction and manipulation
• Strong experience with Python and common data science libraries

Desirable

• Familiarity with Deep Learning or Generative AI concepts
• Experience with Time Series Forecasting and Recommender Systems
• Previous experience working in e-commerce, retail, or the travel industry.
• Experience with A/B testing
• Knowledge of workflow orchestration tools such as Airflow, Dagster or Prefect
• Experience with Google Cloud Platform, particularly Vertex AI and Docker

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.
• Cycle to work scheme, season ticket loan and eye care vouchers.

At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey.The interview journey:

• TA screening – 30′
• 1st stage interview with the Head of Data Science – 45′
• Final stage with key stakeholder/s including a task to present, in office – 1 hour

Team Data and Insights Role Data Scientist Locations London

Expected salary

Location

London

Job date

Sun, 09 Mar 2025 23:59:45 GMT

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