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- Tasks: Lead innovative data science projects and mentor junior team members.
- Company: Join loveholidays, a trailblazer in the travel tech industry.
- Benefits: Enjoy competitive salary, training budget, and discounted holidays.
- Why this job: Make a real impact in shaping AI strategies and driving business success.
- Qualifications: Expertise in machine learning, strong leadership, and collaboration skills required.
- Other info: Inclusive culture focused on personal growth and career development.
The predicted salary is between 43200 - 72000 £ per year.
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.
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, 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 Staff Data Scientist will be a technical leader who drives strategic initiatives and shapes the technical direction of the Data Science function at loveholidays. You will 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
Your Skillset
- 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 link technical solutions to business outcomes and prioritise work based on impact
- Communication: Exceptional ability to translate complex technical concepts to non-technical stakeholders and influence decision-making
- Problem-Solving: Track record of resolving complex technical challenges that impact multiple teams
- Collaboration: Demonstrated success working across functions and teams to deliver high-impact projects
Required
- Leading multiple end-to-end projects simultaneously, from inception through to production monitoring and optimisation
- Designing and implementing sophisticated experiments and models that significantly enhance business performance
- Expert-level knowledge of machine learning and statistical methods for predictive modelling and forecasting
- Extensive experience deploying ML models to production at scale with robust monitoring systems
- Advanced knowledge of SQL and data manipulation techniques
- Mastery of software engineering best practices including unit testing, CI/CD, model management and experiment tracking
- Track record of successful technical mentorship and team development
- Demonstrated cross-functional collaboration skills across engineering, product, and business teams
Desirable
- Expertise in Deep Learning, Generative AI and Reinforcement Learning
- Advanced knowledge of Time Series Forecasting and Recommender Systems
- Previous experience working in e-commerce, retail, or the travel industry
- Experience designing and analysing large-scale A/B test experiments
- Mastery of workflow orchestration technologies such as Airflow, Dagster or Prefect
- Expert knowledge of technologies such as Google Cloud Platform, particularly Vertex AI, Docker and Kubernetes, Infrastructure as Code
- Experience establishing data science best practices across an organisation
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 with someone from our Talent team - 30 minutes
- 1st stage interview with the Head of Data Science - 45 minutes
- Panel interview with key stakeholders, including a task to present in office - 1.5 hours
- Final stage with Chief Data Officer and other commercial stakeholders - 45 minutes
Staff Data Scientist in Slough employer: loveholidays
Contact Detail:
loveholidays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Scientist in Slough
✨Tip Number 1
Network like a pro! Reach out to current employees at loveholidays on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into loveholidays' tech stack. Familiarise yourself with GCP, Python, and machine learning frameworks they use. Show them you’re not just a fit, but the perfect fit!
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of how you've tackled complex data challenges in the past. This will help you connect your experience to their needs.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the loveholidays team.
We think you need these skills to ace Staff Data Scientist in Slough
Some tips for your application 🫡
Show Your Passion for Data Science: When you're writing your application, let your enthusiasm for data science shine through! Share specific examples of projects you've worked on and how they relate to the role. We love seeing candidates who are genuinely excited about using their skills to solve complex problems.
Tailor Your Application: Make sure to customise your application to fit the Staff Data Scientist role at loveholidays. Highlight your experience with machine learning, statistical methods, and any relevant technologies from our tech stack. This shows us that you understand what we're looking for and how you can contribute.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your experiences and achievements. We appreciate well-structured applications that make it easy for us to see your qualifications and potential fit for the team.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised as we review applications.
How to prepare for a job interview at loveholidays
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like GCP, Python, and machine learning frameworks. Be ready to discuss how you've used these tools in past projects and how they can be applied to loveholidays' data science challenges.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex problems you've solved using machine learning techniques. Highlight your thought process and the impact of your solutions on previous projects, as this will resonate well with their focus on tackling challenging business issues.
✨Emphasise Collaboration and Leadership
Since the role involves mentoring and cross-functional collaboration, think of instances where you've led a team or worked closely with other departments. Share how you facilitated knowledge sharing and drove projects to success, showcasing your leadership skills.
✨Prepare for Stakeholder Communication
Practice explaining complex technical concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders. Consider how you would articulate the business value of your data science initiatives to ensure alignment with company objectives.
