Data Scientist

  • Location

    London, England

  • Sector:

    Data

  • Job type:

    Permanent

  • Salary:

    £50000 - £60000 per annum

  • Contact:

    James Dance

  • Contact email:

    james.dance@xcede.co.uk

  • Job ref:

    HQ00029491_1572352583

  • Startdate:

    ASAP

Are you a Data Scientist with experience building and productionising recommender systems? This could be an ideal next step for you.

The Company

This disruptive traveltech startup has a phenomenal opportunity for a Data Scientist with experience in building recommendation engines and productionising machine learning models. Having launched their platform over a year ago, they've already collated a huge amount of customer data and the next stage in their growth is creating a leading recommendation engine for the travel industry.

The company is able to gain more data points on their customers than any other travel provider in the industry, as such they want to harness this data to create a world-class product that tailors travel recommendations like never before.
The Data Scientist Role

Coming in as a Data Scientist, you will have a stellar opportunity to develop your technical skills in a hands-on, fast-paced environment.

Key Responsibilities:
Designing, developing and productionising algorithms to create and then optimise a new recommender system
Exploring new data opportunities for growth within the business, having the autonomy to innovate
Building new web-scraping tools to improve both customer experience and internal BRB processes

The Successful Data Scientist

If you already have experience working with recommender systems in a commercial environment and want the autonomy to innovate within a promising new venture, this could be a fantastic next step for you in your career within a budding startup set to grow rapidly over the coming months and years.

Desired Skills and Background of the Data Scientist:
Experience building and optimising recommender systems (Python)
Experience deploying models into a production environment (Docker, Flask, Django, AWS)
Bonus would be any experience with NLP or social listening tools

If successful, you will be offered a competitive salary paying up to £60,000 depending on experience, alongside equity options and a host of other great benefits.