Urgent! Senior Data Scientist Data and Insights · London ·Hybrid Remote...

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
team: Our Data Science team comprises seven members, including two
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 Senior 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: - Researching and developing new models
and techniques to tackle key business challenges - Overseeing the
production and maintenance of systems - Conducting code reviews and
collaborating on various projects across teams - Providing
mentorship and coaching, facilitating career growth within the team

• Engaging in project rotation for a fresh perspective and
  sustained engagement - Proposing new initiatives and collaborating
  in team OKR crafting - Participating in morning stand-ups and
  weekly prioritisation meetings Your skillset: We're on the hunt for
  a driven individual who employs a scientific approach to data,
  where the following qualities are paramount: - Excellent
  problem-solving skills: Tackle a wide array of challenges through
  independent work and collaboration - Innovation and curiosity: Work
  across the business to understand challenges and develop practical
  solutions - Self-starter: Identify issues and opportunities
  independently, constantly seeking to learn and innovate - Team
  player: Collaborate effectively, accept feedback, and provide
  mentorship - Communication skills: Influence stakeholders and
  articulate data science concepts to non-technical audiences
  Required Experience - Leading E2E projects, from inception,
  planning/prioritisation to delivery including monitoring and
  alerting - Designing experiments and modelling to generate
  actionable insights and enhance business performance - Proficient
  in machine learning and statistical methods for predictive
  modelling and forecasting - Experience deploying ML models to
  production at scale - Solid understanding of SQL - Proficiency in
  unit testing, CI/CD, model management and experiment tracking
  Desirable - Experience with Deep Learning, Generative AI and
  Reinforcement Learning - Experience with Time Series Forecasting
  and Recommender Systems - Previous experience working in
  e-commerce, retail, or the travel industry. - Conducted and
  analysed large scale A/B experiments - Experience mentoring team
  members - Experience with workflow orchestration technologies such
  as Airflow, Dagster or Prefect - Experience with technologies such
  as: - Google Cloud Platform, particularly Vertex AI - Docker and
  Kubernetes 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 mins - 1st stage with Hiring
  Manager - 45 mins - Take-home exercise presentation - 1 hour -
  Final stage with key stakeholder/s including a task to present, in
  office - 1 hour #J-18808-Ljbffr