Staff Data Scientist

Loveholidays; City of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A travel tech company in London is seeking a Mid-Senior level Data Scientist to lead initiatives and develop advanced models. The ideal candidate has extensive machine learning experience and excels in mentoring team members. This full-time role offers opportunities for strategic involvement across cross-functional teams and value-driven projects. Benefits include competitive pension contributions and personalized training budgets.

Benefits

Company pension contributions at 5%

Individualised training budget

Discounted holidays

25 days of holidays per annum

Cycle to work scheme

Qualifications

• Leading multiple end-to-end projects simultaneously.
• Designing and implementing sophisticated experiments.
• Extensive experience deploying ML models to production.

Responsibilities

• Leading strategic initiatives from conception to delivery.
• Researching and developing cutting-edge models.
• Establishing and implementing best practices.

Skills

Deep expertise in machine learning approaches

Ability to assess and implement cutting-edge algorithms

Proven ability to mentor others

Strong ability to link technical solutions to business outcomes

Exceptional ability to translate complex concepts

Track record of resolving complex challenges

Demonstrated success working across functions

Education

Expert-level knowledge of machine learning

Advanced knowledge of SQL

Tools

Google Cloud Platform

Docker

Kubernetes

Job description

Overview

Why Technology at loveholidays? We trailblaze together and are on a mission to open the world to everyone, giving our customers unlimited choice, ease and value for their next getaway. Our team is the driving force behind our customers’ personal holiday expert – the smart way to get away. 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. 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 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. We have mature infrastructure and dedicated teams for Data Engineering, Analytics, and Platform Engineering, which allows high autonomy for Data Scientists.

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 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

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Travel Arrangements

London, England, United Kingdom

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