Senior Data Scientist
Secret Escapes
2d ago

We are looking for a data scientist to help us build high quality data products and produce accurate recommendations impacting our millions of members worldwide.

Working with various stakeholders around the business, you will enhance our user engagement and improve key business KPIs, such as margin and conversion.

Our Data Platform Team is growing fast and the breadth of projects we are working on are growing even faster. We are looking for an experienced Data Business Analyst to work with the Data Platform Manager to navigate the business’s technical priorities in order to translate these priorities into clearly defined tasks and support the end-to-end delivery of the work accurately within predefined deadlines.

Who we are

Secret Escapes is the world’s leading, members-only travel and experiences company. We inspire the world to escape by bringing hand-picked offers at unbeatable prices to millions of members worldwide across our Secret Escapes, Travelist, Slevomat, TravelBird and Pigsback brands.

Since our launch in 2011 we have welcomed over 60 million members globally. We’re backed by some of the smartest and most successful investors out there, including Google Ventures, and are a resilient, forward looking scale-up with big ambitions.

We transformed our business during the pandemic, pivoting our customer and supplier value proposition and are emerging stronger, more profitable and more ambitious than ever.

To support that ambition we are growing our Product, User Experience and Software Engineering teams by 50% over the next 12 months. Come and grow with us.

The Role & what you’ll do

As a senior data scientist, you'll be responsible for identifying opportunities to build and improve machine learning models.

The domains you will work on will include image and text processing, recommendations engines, forecasting models and anomaly detection.

Your success will be measured by

  • Improving existing models
  • Building new machine learning models to optimise our personalization content
  • Initiating ideas and hypotheses around machine learning products to support business goals
  • Ability to explain and interpret machine learning model
  • This role currently reports to the Data Platform Manager and sits in the Data Science function within the Tech department.

    Day to day, you will be working on

  • Exploration and analysis of data in light of a question or for a specific goal.
  • Developing algorithms and programmatic procedures to automate data gathering.
  • Supporting and advising the business with ad hoc analysis as well as applying statistical techniques to create insights and discover new business opportunities.
  • Building and maintaining products at scale to help marketing deliver the best personalisation experience to our customers using machine learning algorithms.
  • Initiating ideas and helping to identify growth opportunities.
  • Liaising with key stakeholders in the Engineering, Data, Marketing and Product teams.
  • Keeping yourself updated on new developments in your field of expertise.
  • The Team

    The data science team at Secret Escapes is made up of a Product Manager, Data Scientists and an ML ops engineer. We aim to grow the team over time to explore and exploit more opportunities to create value for the business.

    The mission of the data science team at Secret Escapes is to improve the customer experience across our multiple platforms by personalising their journey with relevant and inspiring recommendations.

    We work closely with the data platform team who provide us the data needed to implement and deploy our models and thus provide the business with valuable data products.

    The kind of questions we ask are : how could we improve a recommendation model to better account for new deals that have not yet received much traffic?

    How could we better take into account short and long term user preferences? How do we balance the exploit vs explore tradeoff?

    We have a 40 hour working week but we enjoy the flexibility of working core hours (10-4pm) either fully remote or in a hybrid home / office pattern, but we take every opportunity we can to get together and collaborate!

    Must haves

  • BA / BSc in Computer Science, Maths, Physics, Engineering, Statistics or other technical subjects.
  • Fluency in SQL
  • Some development experience in at least one scripting language (Python, R, etc.).
  • Knowledge of code repo / review tools (Github, Bitbucket or similar).
  • Familiarity with Pyspark, Tensorflow (or equivalent) and Airflow is advantageous
  • Proven experience in data science field and quantitative analysis.
  • A strong understanding of statistical analysis, in particular significance testing as applied to A / B tests
  • Experience building and improving recommendation systems.
  • Ability to take projects from initiation to completion with minimal guidance.
  • And you are

  • Pro-active with a self-starter mindset - you like to get stuff done, not just talk about getting stuff done.
  • Someone who can operate in a rapidly evolving environment without too much guidance.
  • Not afraid to challenge the status quo and other team members but are able to do so in a constructive manner.
  • Curious and inquisitive with a meticulous eye for detail.
  • Highly collaborative in work style.
  • Willing to step outside your comfort zone to broaden your skills and learn new technologies.
  • We are an equal opportunity employer :

    Diversity and inclusion are important to us at Secret Escapes and we encourage a culture where everyone can be themselves at work.

    We value and actively seek out a richly diverse range of talent and our policies ensure that every job application and employee is treated fairly, with equal opportunity to succeed.

    All applicants will be considered for employment without regard to any characteristic protected by law.

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