Data Scientist

Join to apply for the Staff Data Scientist role at loveholidays

Join to apply for the Staff Data Scientist role at loveholidays

Why Technology at loveholidays?

At loveholidays -

Why Technology at loveholidays?

At loveholidays - we trailblaze together. 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.

Technology at loveholidays underpins our vision to become the most loved OTA in Europe. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset.

Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology and adhere to our key technology principles that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this.

About The Team

Our Data Science team comprises eight members, including four Senior Data Scientists, two Data Scientists, a Machine Learning Engineer 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, Git Hub, PyTorch, Tensor Flow, 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 Staff Data Scientist will be a technical leader who drives strategic initiatives and shapes the technical direction of the Data Science function 'll be a catalyst for innovation, a mentor to junior team members, and a trusted advisor to stakeholders across the business, helping to implement our AI strategy and align data science capabilities with business objectives.

Your Day-to-day

• Leading strategic initiatives from conception to delivery, including stakeholder management and business value articulation
• Researching and developing cutting-edge models and techniques to tackle complex business challenges
• Establishing and implementing best practices across data science systems and services
• Providing technical leadership and mentorship to junior team members, facilitating their growth and development
• Proactively identifying and implementing improvements to team processes or workflows
• Contributing to architectural decisions for data science infrastructure
• Leading knowledge sharing sessions through technical presentations of projects
• Representing data science in cross-functional initiatives and being a trusted advisor beyond your immediate team
• Participating in project prioritisation and strategic planning for the data science function
• Implementing comprehensive monitoring solutions and designing fault-tolerant systems

• Technical Excellence:
  Deep expertise in machine learning approaches with the ability to assess and implement cutting-edge algorithms
• Strategic Thinking:
  Ability to break down high-level optimisation goals into lower-level components whilst understanding complex/second-order consequences
• Leadership:
  Proven ability to mentor others, resolve conflicts, and be a key motivator for team members
• Business Acumen:
  Strong ability to…